From bb76df4f443ca07b0f12957aa0b0ebd303ee2f09 Mon Sep 17 00:00:00 2001 From: abhatt-rh Date: Fri, 17 Nov 2023 16:45:38 +0000 Subject: [PATCH] deploy: 0c488c508ac8ccfd087d6b158af2c9e21f62dfd1 --- blog/2021-12-31-medical-diagnosis/index.html | 23 +- blog/2022-03-23-acm-mustonlyhave/index.html | 23 +- blog/2022-03-30-multicloud-gitops/index.html | 23 +- .../2022-06-30-ansible-edge-gitops/index.html | 23 +- blog/2022-07-15-push-vs-pull/index.html | 23 +- blog/2022-08-24-clustergroups/index.html | 23 +- blog/2022-09-02-route/index.html | 23 +- blog/2022-10-12-acm-provisioning/index.html | 23 +- blog/2022-11-20-argo-rollouts/index.html | 23 +- .../index.html | 23 +- blog/index.html | 23 +- blog/page/2/index.html | 23 +- blog_tags/acm/index.html | 23 +- blog_tags/acs/index.html | 23 +- blog_tags/ansible-edge-gitops/index.html | 23 +- blog_tags/devops/index.html | 23 +- blog_tags/devsecops/index.html | 23 +- blog_tags/gitops/index.html | 23 +- blog_tags/index.html | 23 +- 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create mode 100644 industries/infrastructure/index.html create mode 100644 industries/infrastructure/index.xml create mode 100644 industries/infrastructure/page/1/index.html create mode 100644 industries/page/2/index.html create mode 100644 patterns/hypershift/index.html create mode 100644 patterns/hypershift/index.xml create mode 100644 products/aws-controller-for-kubernetes/index.html create mode 100644 products/aws-controller-for-kubernetes/index.xml create mode 100644 products/aws-controller-for-kubernetes/page/1/index.html create mode 100644 products/red-hat-multicluster-engine/index.html create mode 100644 products/red-hat-multicluster-engine/index.xml create mode 100644 products/red-hat-multicluster-engine/page/1/index.html diff --git a/blog/2021-12-31-medical-diagnosis/index.html b/blog/2021-12-31-medical-diagnosis/index.html index 183ce76fe..c9a602e95 100644 --- a/blog/2021-12-31-medical-diagnosis/index.html +++ b/blog/2021-12-31-medical-diagnosis/index.html @@ -1549,7 +1549,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1580,10 +1596,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/blog/2022-03-23-acm-mustonlyhave/index.html b/blog/2022-03-23-acm-mustonlyhave/index.html index 12482e549..d780fa78d 100644 --- a/blog/2022-03-23-acm-mustonlyhave/index.html +++ b/blog/2022-03-23-acm-mustonlyhave/index.html @@ -1619,7 +1619,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1650,10 +1666,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/blog/2022-03-30-multicloud-gitops/index.html b/blog/2022-03-30-multicloud-gitops/index.html index e14b9fbef..63b021c56 100644 --- a/blog/2022-03-30-multicloud-gitops/index.html +++ b/blog/2022-03-30-multicloud-gitops/index.html @@ -1543,7 +1543,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1574,10 +1590,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/blog/2022-06-30-ansible-edge-gitops/index.html b/blog/2022-06-30-ansible-edge-gitops/index.html index c15c66d74..491b37c0f 100644 --- a/blog/2022-06-30-ansible-edge-gitops/index.html +++ b/blog/2022-06-30-ansible-edge-gitops/index.html @@ -1542,7 +1542,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1573,10 +1589,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/blog/2022-07-15-push-vs-pull/index.html b/blog/2022-07-15-push-vs-pull/index.html index 62c9d5dda..1995ad08e 100644 --- a/blog/2022-07-15-push-vs-pull/index.html +++ b/blog/2022-07-15-push-vs-pull/index.html @@ -1543,7 +1543,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1574,10 +1590,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/blog/2022-08-24-clustergroups/index.html b/blog/2022-08-24-clustergroups/index.html index 3c7dca4be..285cbc868 100644 --- a/blog/2022-08-24-clustergroups/index.html +++ b/blog/2022-08-24-clustergroups/index.html @@ -1542,7 +1542,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1573,10 +1589,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/blog/2022-09-02-route/index.html b/blog/2022-09-02-route/index.html index 4d40b23de..e0009a9a7 100644 --- a/blog/2022-09-02-route/index.html +++ b/blog/2022-09-02-route/index.html @@ -1619,7 +1619,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1650,10 +1666,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/blog/2022-10-12-acm-provisioning/index.html b/blog/2022-10-12-acm-provisioning/index.html index 8ee8057b8..8d40fb451 100644 --- a/blog/2022-10-12-acm-provisioning/index.html +++ b/blog/2022-10-12-acm-provisioning/index.html @@ -1629,7 +1629,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1660,10 +1676,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/blog/2022-11-20-argo-rollouts/index.html b/blog/2022-11-20-argo-rollouts/index.html index aa536e10d..85c531d8b 100644 --- a/blog/2022-11-20-argo-rollouts/index.html +++ b/blog/2022-11-20-argo-rollouts/index.html @@ -1745,7 +1745,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1776,10 +1792,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/blog/2022-12-01-multicluster-devsecops/index.html b/blog/2022-12-01-multicluster-devsecops/index.html index 881851bcd..3a8c33d59 100644 --- a/blog/2022-12-01-multicluster-devsecops/index.html +++ b/blog/2022-12-01-multicluster-devsecops/index.html @@ -1548,7 +1548,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1579,10 +1595,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/blog/index.html b/blog/index.html index 835a1f8aa..69a2ec038 100644 --- a/blog/index.html +++ b/blog/index.html @@ -1555,7 +1555,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1586,10 +1602,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/blog/page/2/index.html b/blog/page/2/index.html index 872dd772b..b63b9130d 100644 --- a/blog/page/2/index.html +++ b/blog/page/2/index.html @@ -1545,7 +1545,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1576,10 +1592,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/blog_tags/acm/index.html b/blog_tags/acm/index.html index 0f2a3b009..3f0211165 100644 --- a/blog_tags/acm/index.html +++ b/blog_tags/acm/index.html @@ -1544,7 +1544,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1575,10 +1591,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/blog_tags/acs/index.html b/blog_tags/acs/index.html index 10a4e24b4..09f38d809 100644 --- a/blog_tags/acs/index.html +++ b/blog_tags/acs/index.html @@ -1548,7 +1548,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1579,10 +1595,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/blog_tags/ansible-edge-gitops/index.html b/blog_tags/ansible-edge-gitops/index.html index e0edc495d..df5dea9e0 100644 --- a/blog_tags/ansible-edge-gitops/index.html +++ b/blog_tags/ansible-edge-gitops/index.html @@ -1544,7 +1544,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1575,10 +1591,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/blog_tags/devops/index.html b/blog_tags/devops/index.html index e59f3bc79..050a8eb07 100644 --- a/blog_tags/devops/index.html +++ b/blog_tags/devops/index.html @@ -1548,7 +1548,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1579,10 +1595,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/blog_tags/devsecops/index.html b/blog_tags/devsecops/index.html index 5e332cf59..87f2a66f2 100644 --- a/blog_tags/devsecops/index.html +++ b/blog_tags/devsecops/index.html @@ -1548,7 +1548,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1579,10 +1595,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/blog_tags/gitops/index.html b/blog_tags/gitops/index.html index e5d128759..a32eab264 100644 --- a/blog_tags/gitops/index.html +++ b/blog_tags/gitops/index.html @@ -1547,7 +1547,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1578,10 +1594,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/blog_tags/index.html b/blog_tags/index.html index 65269d347..52b6c132a 100644 --- a/blog_tags/index.html +++ b/blog_tags/index.html @@ -1541,7 +1541,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1572,10 +1588,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/blog_tags/medical-diagnosis/index.html b/blog_tags/medical-diagnosis/index.html index 81bfac645..487cd3c02 100644 --- a/blog_tags/medical-diagnosis/index.html +++ b/blog_tags/medical-diagnosis/index.html @@ -1543,7 +1543,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1574,10 +1590,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/blog_tags/multi-cloud-gitops/index.html b/blog_tags/multi-cloud-gitops/index.html index 8dc0aae26..a2895cc13 100644 --- a/blog_tags/multi-cloud-gitops/index.html +++ b/blog_tags/multi-cloud-gitops/index.html @@ -1543,7 +1543,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1574,10 +1590,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/blog_tags/openshift-platform-plus/index.html b/blog_tags/openshift-platform-plus/index.html index a1ca950ed..9c0fd8b0f 100644 --- a/blog_tags/openshift-platform-plus/index.html +++ b/blog_tags/openshift-platform-plus/index.html @@ -1548,7 +1548,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1579,10 +1595,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/blog_tags/openshift/index.html b/blog_tags/openshift/index.html index fd1ed6ee6..588456203 100644 --- a/blog_tags/openshift/index.html +++ b/blog_tags/openshift/index.html @@ -1543,7 +1543,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1574,10 +1590,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/blog_tags/page/2/index.html b/blog_tags/page/2/index.html index 2e2f2003c..489dc4a1b 100644 --- a/blog_tags/page/2/index.html +++ b/blog_tags/page/2/index.html @@ -1541,7 +1541,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1572,10 +1588,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/blog_tags/page/3/index.html b/blog_tags/page/3/index.html index 869f7b606..ac614075f 100644 --- a/blog_tags/page/3/index.html +++ b/blog_tags/page/3/index.html @@ -1541,7 +1541,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1572,10 +1588,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/blog_tags/patterns/index.html b/blog_tags/patterns/index.html index e74b8faa6..dd8a22f70 100644 --- a/blog_tags/patterns/index.html +++ b/blog_tags/patterns/index.html @@ -1555,7 +1555,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1586,10 +1602,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/blog_tags/pipelines/index.html b/blog_tags/pipelines/index.html index c6dda3b4b..6648b3380 100644 --- a/blog_tags/pipelines/index.html +++ b/blog_tags/pipelines/index.html @@ -1548,7 +1548,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1579,10 +1595,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/blog_tags/provisioning/index.html b/blog_tags/provisioning/index.html index 00b38bc58..49b674121 100644 --- a/blog_tags/provisioning/index.html +++ b/blog_tags/provisioning/index.html @@ -1544,7 +1544,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1575,10 +1591,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/blog_tags/quay/index.html b/blog_tags/quay/index.html index b33714a30..f237d25e2 100644 --- a/blog_tags/quay/index.html +++ b/blog_tags/quay/index.html @@ -1548,7 +1548,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1579,10 +1595,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/blog_tags/route/index.html b/blog_tags/route/index.html index f15608872..72bcd4168 100644 --- a/blog_tags/route/index.html +++ b/blog_tags/route/index.html @@ -1543,7 +1543,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1574,10 +1590,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/blog_tags/security/index.html b/blog_tags/security/index.html index 2cb877be3..87d7fc782 100644 --- a/blog_tags/security/index.html +++ b/blog_tags/security/index.html @@ -1548,7 +1548,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1579,10 +1595,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/blog_tags/validated-pattern/index.html b/blog_tags/validated-pattern/index.html index 22dbb6984..af3f06c50 100644 --- a/blog_tags/validated-pattern/index.html +++ b/blog_tags/validated-pattern/index.html @@ -1547,7 +1547,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1578,10 +1594,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/blog_tags/xray/index.html b/blog_tags/xray/index.html index c6db5e75f..b816416cd 100644 --- a/blog_tags/xray/index.html +++ b/blog_tags/xray/index.html @@ -1545,7 +1545,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1576,10 +1592,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/ci/index.html b/ci/index.html index ebe4c8524..de81a4f17 100644 --- a/ci/index.html +++ b/ci/index.html @@ -1545,7 +1545,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1576,10 +1592,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/ci/internal/index.html b/ci/internal/index.html index 345f84687..1f92fdc4f 100644 --- a/ci/internal/index.html +++ b/ci/internal/index.html @@ -1545,7 +1545,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1576,10 +1592,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/contribute/background-on-pattern-development/index.html b/contribute/background-on-pattern-development/index.html index 102e77619..67bf1db56 100644 --- a/contribute/background-on-pattern-development/index.html +++ b/contribute/background-on-pattern-development/index.html @@ -1541,7 +1541,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1572,10 +1588,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/contribute/contribute-to-docs/index.html b/contribute/contribute-to-docs/index.html index f49906c09..f9f12d896 100644 --- a/contribute/contribute-to-docs/index.html +++ b/contribute/contribute-to-docs/index.html @@ -1599,7 +1599,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1630,10 +1646,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/contribute/creating-a-pattern/index.html b/contribute/creating-a-pattern/index.html index 7f37b1d76..4dab89464 100644 --- a/contribute/creating-a-pattern/index.html +++ b/contribute/creating-a-pattern/index.html @@ -1628,7 +1628,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1659,10 +1675,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/contribute/extending-a-pattern/index.html b/contribute/extending-a-pattern/index.html index fff4896ba..655d71def 100644 --- a/contribute/extending-a-pattern/index.html +++ b/contribute/extending-a-pattern/index.html @@ -1645,7 +1645,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1676,10 +1692,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/contribute/index.html b/contribute/index.html index 5dac03e2a..4c3e4d537 100644 --- a/contribute/index.html +++ b/contribute/index.html @@ -1541,7 +1541,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1572,10 +1588,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/contribute/structure/index.html b/contribute/structure/index.html index 6e3536624..7f0ecf220 100644 --- a/contribute/structure/index.html +++ b/contribute/structure/index.html @@ -1629,7 +1629,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1660,10 +1676,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. 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zLb%dwYf}<``~0;3qo}@2Vag)Vk?g@vcJ?V(oXFEc!qA;&QN0JWj{LL!{cxzYCK}ghJVv1MRG|^ZG+wh71=>2=GD0uWTkO^T>$_EocqN{gDt&ps_xt{^y;9S^6nZ94v8ZVr z`_Qlrn$@<6d8$djHNvenp`!3Sc^qk#J|A=G;^cmu5Oifus@_8TRpjUQ<93=2snk?~ zb7}AVNbJ9F_}`byAmF}#dzQ)cb$z#61K!j{AYaKHekn!ut>C# z{GVF#o5^~qc87mvWo-n$vRg-G32;oWeEdjzN*#*{gmK|s_l{2FF1V6zVwFJkv-}dN zKzMAz+r11s;Tz>lIna2+>&td|8TP)&W4QBK zN0-hmR9hbok@NesphYyeSUKs>_5ij~N4hlW{ZMHu3*wNXcIkg!@PDj}N{t%{@E6=+ zWjAmkwJeUmzi$iN8zWCPfI5*wYS_5&%gg?nE$Mn z0CdqT-?m;GvV~GZt4MRXn}qFqE{;5z$*|>h_WitE=ZP$WRk#0Ix^S~+Q8|BldqtbH z;=c|1e_!Gy|9NrBW>-BIAa@*aUULHWCj$~;Pxi)jLC^ZRdh5O}#9~zfnq_`Q#(rVD z)c%*hs%>>m$zUttgwlu*50Czoz5Yd>n^Ft zpsN_fyI~hyjT3>rBoBrE&!Yd&iu=FU0ZJIK4nq1m9rZ#3(GI?{63qS)k_=V*n_N=4 zw;_#ZA0o)pYW_d{IX&_}1R4}`Cj1P?o{^chO P@FOp+B2_729QeNg6SValidated Patterns

Validated Patterns

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Reference architectures with added value

Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application.

Learn more

Watch how validated patterns enhance your cloud-native applications

Latest Patterns

Emerging Disease Detection

This pattern is based on a demo implementation of an automated data pipeline for sepsis analysis previously developed by Red Hat.

+

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Reference architectures with added value

Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application.

Learn more

Watch how validated patterns enhance your cloud-native applications

Latest Patterns

HyperShift

This pattern is for deploying the Hosted Control Plane (HyperShift) service.

+Community
Emerging Disease Detection

This pattern is based on a demo implementation of an automated data pipeline for sepsis analysis previously developed by Red Hat.

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Retail
This pattern demonstrates a pattern that models the store side of a retail application.
-Community
Ansible Edge GitOps
This pattern uses OpenShift Virtualization to simulate an edge environment for VMs.
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Latest Blog Post

Multicluster DevSecOps

by William Henry and Jonny Rickard

December 1, 2022

A validated pattern that uses OpenShift Platform Plus and OpenShift Pipelines to securely build, scan, and deliver applications

openshift-platform-plus +Community

Latest Blog Post

Multicluster DevSecOps

by William Henry and Jonny Rickard

December 1, 2022

A validated pattern that uses OpenShift Platform Plus and OpenShift Pipelines to securely build, scan, and deliver applications

openshift-platform-plus devsecops devops security @@ -1550,7 +1550,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1581,10 +1597,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/index.xml b/index.xml index 89a7cd776..321d73e10 100644 --- a/index.xml +++ b/index.xml @@ -1,4 +1,4 @@ -Validated Patternshttps://validatedpatterns.io/Recent content on Validated PatternsHugo -- gohugo.ioen-usSat, 23 Sep 2023 00:00:00 +0000About Validated Patternshttps://validatedpatterns.io/learn/about/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/learn/about/Validated Patterns and upstream Community Patterns are a natural progression from reference architectures with additional value. Here is a brief video to explain what patterns are all about:Contributor's guidehttps://validatedpatterns.io/contribute/contribute-to-docs/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/contribute/contribute-to-docs/Contribute to Validated Patterns documentation Different ways to contribute There are a few different ways you can contribute to Validated Patterns documentation:Getting startedhttps://validatedpatterns.io/patterns/emerging-disease-detection/edd-getting-started/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/patterns/emerging-disease-detection/edd-getting-started/Deploying the Emerging Disease Detection pattern Prerequisites An OpenShift cluster (Go to the OpenShift console). Cluster must have a dynamic StorageClass to provision PersistentVolumes.Getting startedhttps://validatedpatterns.io/patterns/multicloud-gitops/mcg-getting-started/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/patterns/multicloud-gitops/mcg-getting-started/Deploying the Multicloud GitOps pattern Prerequisites An OpenShift cluster +Validated Patternshttps://validatedpatterns.io/Recent content on Validated PatternsHugo -- gohugo.ioen-usWed, 15 Nov 2023 00:00:00 +0000About Validated Patternshttps://validatedpatterns.io/learn/about/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/learn/about/Validated Patterns and upstream Community Patterns are a natural progression from reference architectures with additional value. Here is a brief video to explain what patterns are all about:Contributor's guidehttps://validatedpatterns.io/contribute/contribute-to-docs/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/contribute/contribute-to-docs/Contribute to Validated Patterns documentation Different ways to contribute There are a few different ways you can contribute to Validated Patterns documentation:Getting startedhttps://validatedpatterns.io/patterns/emerging-disease-detection/edd-getting-started/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/patterns/emerging-disease-detection/edd-getting-started/Deploying the Emerging Disease Detection pattern Prerequisites An OpenShift cluster (Go to the OpenShift console). Cluster must have a dynamic StorageClass to provision PersistentVolumes.Getting startedhttps://validatedpatterns.io/patterns/multicloud-gitops/mcg-getting-started/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/patterns/multicloud-gitops/mcg-getting-started/Deploying the Multicloud GitOps pattern Prerequisites An OpenShift cluster To create an OpenShift cluster, go to the Red Hat Hybrid Cloud console.Getting Startedhttps://validatedpatterns.io/patterns/ansible-edge-gitops/getting-started/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/patterns/ansible-edge-gitops/getting-started/Deploying the Ansible Edge GitOps Pattern General Prerequisites An OpenShift cluster ( Go to the OpenShift console). See also sizing your cluster.Getting Startedhttps://validatedpatterns.io/patterns/devsecops/getting-started/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/patterns/devsecops/getting-started/Deploying the Multicluster DevSecOps Pattern Prerequisites An OpenShift cluster (Go to the OpenShift console). Cluster must have a dynamic StorageClass to provision PersistentVolumes.Getting Startedhttps://validatedpatterns.io/patterns/industrial-edge/getting-started/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/patterns/industrial-edge/getting-started/Deploying the Industrial Edge Pattern Prerequisites An OpenShift cluster (Go to the OpenShift console). Cluster must have a dynamic StorageClass to provision PersistentVolumes.Getting Startedhttps://validatedpatterns.io/patterns/medical-diagnosis/getting-started/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/patterns/medical-diagnosis/getting-started/Deploying the Medical Diagnosis pattern Prerequisites An OpenShift cluster To create an OpenShift cluster, go to the Red Hat Hybrid Cloud console.Getting Startedhttps://validatedpatterns.io/patterns/multicloud-gitops-portworx/getting-started/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/patterns/multicloud-gitops-portworx/getting-started/Deploying the Multicloud GitOps pattern Prerequisite An OpenShift cluster To create an OpenShift cluster, go to the Red Hat Hybrid Cloud console.Getting Startedhttps://validatedpatterns.io/patterns/retail/getting-started/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/patterns/retail/getting-started/Deploying the Retail Pattern Prerequisites An OpenShift cluster (Go to the OpenShift console). Cluster must have a dynamic StorageClass to provision PersistentVolumes.Background on pattern developmenthttps://validatedpatterns.io/contribute/background-on-pattern-development/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/contribute/background-on-pattern-development/Introduction This section provides details on how to create a new pattern using the validated patterns framework. Creating a new pattern might start from scratch or it may start from an existing deployment that would benefit from a repeatable framework based on GitOps.Cluster Sizinghttps://validatedpatterns.io/patterns/medical-diagnosis/cluster-sizing/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/patterns/medical-diagnosis/cluster-sizing/About OpenShift cluster sizing for the Medical Diagnosis pattern To understand cluster sizing requirements for the Medical Diagnosis pattern, consider the following components that the Medical Diagnosis pattern deploys on the datacenter or the hub OpenShift cluster:Factory Siteshttps://validatedpatterns.io/patterns/industrial-edge/factory/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/patterns/industrial-edge/factory/Having a factory (edge) cluster join the datacenter (hub) Allow ACM to deploy the factory application to a subset of clusters By default the factory applications are deployed on all clusters that ACM knows about.Installation Detailshttps://validatedpatterns.io/patterns/ansible-edge-gitops/installation-details/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/patterns/ansible-edge-gitops/installation-details/Installation Details Installation Steps These are the steps run by make install and what each one does: operator-deploy The operator-deploy task installs the Validated Patterns Operator, which in turn creates a subscription for the OpenShift GitOps operator and installs both the cluster and hub instances of it.Managed cluster siteshttps://validatedpatterns.io/patterns/multicloud-gitops-portworx/managed-cluster/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/patterns/multicloud-gitops-portworx/managed-cluster/Attach a managed cluster (edge) to the management hub Understanding Red Hat Advanced Cluster Management requirements Allow Red Hat Advanced Cluster Management (RHACM) to deploy the managed cluster application to a subset of clusters.Managed cluster siteshttps://validatedpatterns.io/patterns/multicloud-gitops/mcg-managed-cluster/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/patterns/multicloud-gitops/mcg-managed-cluster/Attach a managed cluster (edge) to the management hub Understanding Red Hat Advanced Cluster Management requirements By default, Red Hat Advanced Cluster Management (RHACM) manages the clusterGroup applications that are deployed on all clusters.Patterns quick starthttps://validatedpatterns.io/learn/quickstart/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/learn/quickstart/Patterns quick start Each pattern can be deployed using the command line. The only requirement is to have git and podman installed.Secured Development Clusterhttps://validatedpatterns.io/patterns/devsecops/devel-cluster/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/patterns/devsecops/devel-cluster/Having a development cluster (devel) join the hub Introduction Development clusters are responsible for building applications and delivering the applications to a secured registry.Store Siteshttps://validatedpatterns.io/patterns/retail/store/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/patterns/retail/store/Having a store (edge) cluster join the datacenter (hub) Allow ACM to deploy the store application to a subset of clusters A store (&ldquo;ATLANTA&rdquo;) is installed on the hub cluster by default.Importing a clusterhttps://validatedpatterns.io/learn/importing-a-cluster/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/learn/importing-a-cluster/Importing a managed cluster Many validated patterns require importing a cluster into a managed group. These groups have specific application sets that will be deployed and managed.Validated pattern structurehttps://validatedpatterns.io/contribute/structure/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/contribute/structure/Framework fundamentals The validated patterns framework uses OpenShift GitOps (ArgoCD) as the primary driver for deploying patterns and keeping them up to date.Application Demoshttps://validatedpatterns.io/patterns/industrial-edge/application/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/patterns/industrial-edge/application/Demonstrating Industrial Edge example applications Background Up until now the Industrial Edge 2.0 validated patterns has focused primarily on successfully deploying the architectural pattern.Application Demoshttps://validatedpatterns.io/patterns/retail/application/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/patterns/retail/application/Demonstrating Retail example applications Background Up until now the Retail validated pattern has focused primarily on successfully deploying the architectural pattern.Cluster sizinghttps://validatedpatterns.io/patterns/multicloud-gitops/mcg-cluster-sizing/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/patterns/multicloud-gitops/mcg-cluster-sizing/About OpenShift cluster sizing for the Multicloud GitOps Pattern For information on minimum hardware requirements for an OpenShift cluster, refer to the {ocp} documentation for System and environment requirements.Cluster Sizinghttps://validatedpatterns.io/patterns/ansible-edge-gitops/cluster-sizing/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/patterns/ansible-edge-gitops/cluster-sizing/OpenShift Cluster Sizing for the Ansible Edge GitOps Pattern Tested Platforms The Ansible Edge GitOps pattern has been tested on AWS:Cluster Sizinghttps://validatedpatterns.io/patterns/multicloud-gitops-portworx/cluster-sizing/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/patterns/multicloud-gitops-portworx/cluster-sizing/About OpenShift cluster sizing for the Multicloud GitOps Pattern Support matrix for Multicloud GitOps pattern The Multicloud GitOps pattern has been tested in the following Certified Cloud Providers.Componentshttps://validatedpatterns.io/patterns/retail/components/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/patterns/retail/components/Component Details The Quarkus Coffeeshop Store Chart This chart is responsible for deploying the applications, services and routes for the Quarkus Coffeeshop demo.Extending an existing patternhttps://validatedpatterns.io/contribute/extending-a-pattern/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/contribute/extending-a-pattern/Introduction to extending a pattern using a fork Extending an existing pattern usually means adding a new product and/or configuration to the existing pattern.Infrastructurehttps://validatedpatterns.io/learn/infrastructure/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/learn/infrastructure/Background Each validated pattern has infrastructure requirements. The majority of the validated patterns will run Red Hat OpenShift while some parts will run directly on Red Hat Enterprise Linux or (RHEL), more likely, a version of RHEL called RHEL for Edge.Secured Production Clustershttps://validatedpatterns.io/patterns/devsecops/production-cluster/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/patterns/devsecops/production-cluster/Having a production cluster join the hub Introduction Production clusters need to be secured and so one part of the deployment is to install the Advanced Cluster Security operator with a secured configuration.OpenShift General Sizinghttps://validatedpatterns.io/learn/ocp-cluster-general-sizing/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/learn/ocp-cluster-general-sizing/OpenShift General Sizing Recommended node host practices The OpenShift Container Platform node configuration file contains important options. For example, two parameters control the maximum number of pods that can be scheduled to a node: podsPerCore and maxPods.RHEL for Edge General Sizinghttps://validatedpatterns.io/learn/rhel-for-edge-general-sizing/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/learn/rhel-for-edge-general-sizing/RHEL for Edge General Sizing Recommended node host practices TBDAnsible Automation Platformhttps://validatedpatterns.io/patterns/ansible-edge-gitops/ansible-automation-platform/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/patterns/ansible-edge-gitops/ansible-automation-platform/Ansible Automation Platform How it&rsquo;s installed See the installation details here. diff --git a/industries/index.html b/industries/index.html index 86db9bb78..59a281edb 100644 --- a/industries/index.html +++ b/industries/index.html @@ -1,3 +1,3 @@ Industries | Validated Patterns
Validated Patterns
\ No newline at end of file +
\ No newline at end of file diff --git a/industries/index.xml b/industries/index.xml index b0b602920..dd5ceadfb 100644 --- a/industries/index.xml +++ b/industries/index.xml @@ -1 +1 @@ -Industries on Validated Patternshttps://validatedpatterns.io/industries/Recent content in Industries on Validated PatternsHugo -- gohugo.ioen-usSat, 23 Sep 2023 00:00:00 +0000medicalhttps://validatedpatterns.io/industries/medical/Sat, 23 Sep 2023 00:00:00 +0000https://validatedpatterns.io/industries/medical/Retailhttps://validatedpatterns.io/industries/retail/Thu, 08 Dec 2022 00:00:00 +0000https://validatedpatterns.io/industries/retail/Chemicalhttps://validatedpatterns.io/industries/chemical/Wed, 08 Jun 2022 00:00:00 +0000https://validatedpatterns.io/industries/chemical/Generalhttps://validatedpatterns.io/industries/general/Wed, 08 Jun 2022 00:00:00 +0000https://validatedpatterns.io/industries/general/Industrialhttps://validatedpatterns.io/industries/industrial/Tue, 12 Oct 2021 00:00:00 +0000https://validatedpatterns.io/industries/industrial/Manufacturinghttps://validatedpatterns.io/industries/manufacturing/Tue, 12 Oct 2021 00:00:00 +0000https://validatedpatterns.io/industries/manufacturing/ \ No newline at end of file +Industries on Validated Patternshttps://validatedpatterns.io/industries/Recent content in Industries on Validated PatternsHugo -- gohugo.ioen-usWed, 15 Nov 2023 00:00:00 +0000Infrastructurehttps://validatedpatterns.io/industries/infrastructure/Wed, 15 Nov 2023 00:00:00 +0000https://validatedpatterns.io/industries/infrastructure/medicalhttps://validatedpatterns.io/industries/medical/Sat, 23 Sep 2023 00:00:00 +0000https://validatedpatterns.io/industries/medical/Retailhttps://validatedpatterns.io/industries/retail/Thu, 08 Dec 2022 00:00:00 +0000https://validatedpatterns.io/industries/retail/Chemicalhttps://validatedpatterns.io/industries/chemical/Wed, 08 Jun 2022 00:00:00 +0000https://validatedpatterns.io/industries/chemical/Generalhttps://validatedpatterns.io/industries/general/Wed, 08 Jun 2022 00:00:00 +0000https://validatedpatterns.io/industries/general/Industrialhttps://validatedpatterns.io/industries/industrial/Tue, 12 Oct 2021 00:00:00 +0000https://validatedpatterns.io/industries/industrial/Manufacturinghttps://validatedpatterns.io/industries/manufacturing/Tue, 12 Oct 2021 00:00:00 +0000https://validatedpatterns.io/industries/manufacturing/ \ No newline at end of file diff --git a/industries/infrastructure/index.html b/industries/infrastructure/index.html new file mode 100644 index 000000000..d4a521f04 --- /dev/null +++ b/industries/infrastructure/index.html @@ -0,0 +1,3 @@ +Infrastructure | Validated Patterns
Validated Patterns

HyperShift

This pattern is for deploying the Hosted Control Plane (HyperShift) service.

\ No newline at end of file diff --git a/industries/infrastructure/index.xml b/industries/infrastructure/index.xml new file mode 100644 index 000000000..87c50e84f --- /dev/null +++ b/industries/infrastructure/index.xml @@ -0,0 +1,3 @@ +Infrastructure on Validated Patternshttps://validatedpatterns.io/industries/infrastructure/Recent content in Infrastructure on Validated PatternsHugo -- gohugo.ioen-usWed, 15 Nov 2023 00:00:00 +0000HyperShifthttps://validatedpatterns.io/patterns/hypershift/Wed, 15 Nov 2023 00:00:00 +0000https://validatedpatterns.io/patterns/hypershift/<div class="paragraph"> +<p>This pattern is for deploying the Hosted Control Plane (HyperShift) service.</p> +</div> \ No newline at end of file diff --git a/industries/infrastructure/page/1/index.html b/industries/infrastructure/page/1/index.html new file mode 100644 index 000000000..b0aedda0f --- /dev/null +++ b/industries/infrastructure/page/1/index.html @@ -0,0 +1,2 @@ +https://validatedpatterns.io/industries/infrastructure/ + \ No newline at end of file diff --git a/industries/page/2/index.html b/industries/page/2/index.html new file mode 100644 index 000000000..46fc55dcd --- /dev/null +++ b/industries/page/2/index.html @@ -0,0 +1,3 @@ +Industries | Validated Patterns
Validated Patterns
\ No newline at end of file diff --git a/learn/about/index.html b/learn/about/index.html index d643c9c42..3d769a1bf 100644 --- a/learn/about/index.html +++ b/learn/about/index.html @@ -1545,7 +1545,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1576,10 +1592,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/learn/community/index.html b/learn/community/index.html index 9f3ee904d..425a53b4c 100644 --- a/learn/community/index.html +++ b/learn/community/index.html @@ -1547,7 +1547,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1578,10 +1594,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/learn/faq/index.html b/learn/faq/index.html index cecf3dba5..64b7a7386 100644 --- a/learn/faq/index.html +++ b/learn/faq/index.html @@ -1544,7 +1544,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1575,10 +1591,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/learn/implementation/index.html b/learn/implementation/index.html index 3072419c3..17d248832 100644 --- a/learn/implementation/index.html +++ b/learn/implementation/index.html @@ -1545,7 +1545,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1576,10 +1592,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/learn/importing-a-cluster/index.html b/learn/importing-a-cluster/index.html index 11d63bacb..15267ebf7 100644 --- a/learn/importing-a-cluster/index.html +++ b/learn/importing-a-cluster/index.html @@ -1544,7 +1544,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1575,10 +1591,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/learn/index.html b/learn/index.html index 632b3a55e..886cf1c1a 100644 --- a/learn/index.html +++ b/learn/index.html @@ -1544,7 +1544,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1575,10 +1591,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/learn/infrastructure/index.html b/learn/infrastructure/index.html index 8f95d9a50..8d4db2536 100644 --- a/learn/infrastructure/index.html +++ b/learn/infrastructure/index.html @@ -1544,7 +1544,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1575,10 +1591,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/learn/ocp-cluster-general-sizing/index.html b/learn/ocp-cluster-general-sizing/index.html index 52b78254e..c12ff80f3 100644 --- a/learn/ocp-cluster-general-sizing/index.html +++ b/learn/ocp-cluster-general-sizing/index.html @@ -1546,7 +1546,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1577,10 +1593,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/learn/page/2/index.html b/learn/page/2/index.html index 3bafe9d67..f7c2b6420 100644 --- a/learn/page/2/index.html +++ b/learn/page/2/index.html @@ -1546,7 +1546,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1577,10 +1593,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/learn/page/3/index.html b/learn/page/3/index.html index 5d40a8bde..27c7bb84f 100644 --- a/learn/page/3/index.html +++ b/learn/page/3/index.html @@ -1544,7 +1544,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1575,10 +1591,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/learn/quickstart/index.html b/learn/quickstart/index.html index 24a55a829..4c1670c84 100644 --- a/learn/quickstart/index.html +++ b/learn/quickstart/index.html @@ -1553,7 +1553,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1584,10 +1600,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/learn/rhel-for-edge-general-sizing/index.html b/learn/rhel-for-edge-general-sizing/index.html index b2e712c6c..785bbd367 100644 --- a/learn/rhel-for-edge-general-sizing/index.html +++ b/learn/rhel-for-edge-general-sizing/index.html @@ -1544,7 +1544,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1575,10 +1591,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/learn/secrets/index.html b/learn/secrets/index.html index ef8b16513..28036d5e8 100644 --- a/learn/secrets/index.html +++ b/learn/secrets/index.html @@ -1544,7 +1544,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1575,10 +1591,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/learn/using-validated-pattern-operator/index.html b/learn/using-validated-pattern-operator/index.html index 56782c9ac..13cb3f3e8 100644 --- a/learn/using-validated-pattern-operator/index.html +++ b/learn/using-validated-pattern-operator/index.html @@ -1545,7 +1545,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1576,10 +1592,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/learn/validated/index.html b/learn/validated/index.html index fc5519c16..de436bef4 100644 --- a/learn/validated/index.html +++ b/learn/validated/index.html @@ -1568,7 +1568,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1599,10 +1615,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/learn/vault/index.html b/learn/vault/index.html index 9c80ef2b7..1d681fd28 100644 --- a/learn/vault/index.html +++ b/learn/vault/index.html @@ -1568,7 +1568,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1599,10 +1615,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/learn/workflow/index.html b/learn/workflow/index.html index 33a5fa129..f73b67efd 100644 --- a/learn/workflow/index.html +++ b/learn/workflow/index.html @@ -1564,7 +1564,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1595,10 +1611,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/ansible-edge-gitops/ansible-automation-platform/index.html b/patterns/ansible-edge-gitops/ansible-automation-platform/index.html index 2391e2f54..5331e9c96 100644 --- a/patterns/ansible-edge-gitops/ansible-automation-platform/index.html +++ b/patterns/ansible-edge-gitops/ansible-automation-platform/index.html @@ -1576,7 +1576,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1607,10 +1623,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/ansible-edge-gitops/cluster-sizing/index.html b/patterns/ansible-edge-gitops/cluster-sizing/index.html index f24d540ab..77a524d84 100644 --- a/patterns/ansible-edge-gitops/cluster-sizing/index.html +++ b/patterns/ansible-edge-gitops/cluster-sizing/index.html @@ -1543,7 +1543,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1574,10 +1590,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/ansible-edge-gitops/getting-started/index.html b/patterns/ansible-edge-gitops/getting-started/index.html index 7bdb369b0..bab53bd0b 100644 --- a/patterns/ansible-edge-gitops/getting-started/index.html +++ b/patterns/ansible-edge-gitops/getting-started/index.html @@ -1598,7 +1598,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1629,10 +1645,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/ansible-edge-gitops/ideas-for-customization/index.html b/patterns/ansible-edge-gitops/ideas-for-customization/index.html index cf1d91d15..85845bdaa 100644 --- a/patterns/ansible-edge-gitops/ideas-for-customization/index.html +++ b/patterns/ansible-edge-gitops/ideas-for-customization/index.html @@ -1736,7 +1736,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1767,10 +1783,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/ansible-edge-gitops/index.html b/patterns/ansible-edge-gitops/index.html index 6472cb4d3..d47f9887b 100644 --- a/patterns/ansible-edge-gitops/index.html +++ b/patterns/ansible-edge-gitops/index.html @@ -1545,7 +1545,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1576,10 +1592,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/ansible-edge-gitops/installation-details/index.html b/patterns/ansible-edge-gitops/installation-details/index.html index 84ea57808..729281419 100644 --- a/patterns/ansible-edge-gitops/installation-details/index.html +++ b/patterns/ansible-edge-gitops/installation-details/index.html @@ -1550,7 +1550,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1581,10 +1597,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/ansible-edge-gitops/openshift-virtualization/index.html b/patterns/ansible-edge-gitops/openshift-virtualization/index.html index 2cb299197..9aecad0ce 100644 --- a/patterns/ansible-edge-gitops/openshift-virtualization/index.html +++ b/patterns/ansible-edge-gitops/openshift-virtualization/index.html @@ -1748,7 +1748,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1779,10 +1795,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/ansible-edge-gitops/troubleshooting/index.html b/patterns/ansible-edge-gitops/troubleshooting/index.html index 9f9073abd..f46581c6e 100644 --- a/patterns/ansible-edge-gitops/troubleshooting/index.html +++ b/patterns/ansible-edge-gitops/troubleshooting/index.html @@ -1541,7 +1541,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1572,10 +1588,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/cockroachdb/index.html b/patterns/cockroachdb/index.html index f56fec26f..8f86399d7 100644 --- a/patterns/cockroachdb/index.html +++ b/patterns/cockroachdb/index.html @@ -1542,7 +1542,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1573,10 +1589,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/connected-vehicle-architecture/index.html b/patterns/connected-vehicle-architecture/index.html index e8355a427..bbc8b6829 100644 --- a/patterns/connected-vehicle-architecture/index.html +++ b/patterns/connected-vehicle-architecture/index.html @@ -1542,7 +1542,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1573,10 +1589,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/devsecops/cluster-sizing/index.html b/patterns/devsecops/cluster-sizing/index.html index 17ab09b9a..2547cd74d 100644 --- a/patterns/devsecops/cluster-sizing/index.html +++ b/patterns/devsecops/cluster-sizing/index.html @@ -1549,7 +1549,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1580,10 +1596,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/devsecops/devel-cluster/index.html b/patterns/devsecops/devel-cluster/index.html index d1d36b85b..fa9982427 100644 --- a/patterns/devsecops/devel-cluster/index.html +++ b/patterns/devsecops/devel-cluster/index.html @@ -1556,7 +1556,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1587,10 +1603,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/devsecops/getting-started/index.html b/patterns/devsecops/getting-started/index.html index 9134e032b..ffc8ea9ca 100644 --- a/patterns/devsecops/getting-started/index.html +++ b/patterns/devsecops/getting-started/index.html @@ -1582,7 +1582,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1613,10 +1629,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/devsecops/ideas-for-customization/index.html b/patterns/devsecops/ideas-for-customization/index.html index 8aae67ce7..c76477b8c 100644 --- a/patterns/devsecops/ideas-for-customization/index.html +++ b/patterns/devsecops/ideas-for-customization/index.html @@ -1541,7 +1541,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1572,10 +1588,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/devsecops/index.html b/patterns/devsecops/index.html index 1472ff203..78f0d0385 100644 --- a/patterns/devsecops/index.html +++ b/patterns/devsecops/index.html @@ -1545,7 +1545,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1576,10 +1592,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/devsecops/production-cluster/index.html b/patterns/devsecops/production-cluster/index.html index 039d17213..4b21948ad 100644 --- a/patterns/devsecops/production-cluster/index.html +++ b/patterns/devsecops/production-cluster/index.html @@ -1554,7 +1554,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1585,10 +1601,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/devsecops/secure-supply-chain-demo/index.html b/patterns/devsecops/secure-supply-chain-demo/index.html index 58b338e8c..2793e8f9d 100644 --- a/patterns/devsecops/secure-supply-chain-demo/index.html +++ b/patterns/devsecops/secure-supply-chain-demo/index.html @@ -1541,7 +1541,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1572,10 +1588,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/emerging-disease-detection/edd-getting-started/index.html b/patterns/emerging-disease-detection/edd-getting-started/index.html index 5899b06ea..991cff8c1 100644 --- a/patterns/emerging-disease-detection/edd-getting-started/index.html +++ b/patterns/emerging-disease-detection/edd-getting-started/index.html @@ -1602,7 +1602,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1633,10 +1649,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/emerging-disease-detection/index.html b/patterns/emerging-disease-detection/index.html index ffd5565df..a47bb7737 100644 --- a/patterns/emerging-disease-detection/index.html +++ b/patterns/emerging-disease-detection/index.html @@ -1546,7 +1546,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1577,10 +1593,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/hypershift/index.html b/patterns/hypershift/index.html new file mode 100644 index 000000000..aca11f6be --- /dev/null +++ b/patterns/hypershift/index.html @@ -0,0 +1,2030 @@ +HyperShift | Validated Patterns
Validated Patterns

HyperShift

Validation status:
+Community
CI status:
Links:

About the HyperShift pattern (hosted control plane)

Background

This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters.

Workflow

  • Install multicluster engine for Kubernetes Operator

  • Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview).

  • Install the AWS Controllers for Kubernetes - Amazon S3 Operator

  • Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC)

  • Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired.

hypershift high level architecture
Figure 1. source: https://hypershift-docs.netlify.app/

If you have any questions or concerns contact Jonny Rickard.

About the solution elements

The solution enables the rapid provisioning of hosted control plane.

The HyperShift pattern uses the following products and technologies:

  • Red Hat OpenShift Container Platform for container orchestration

  • Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution

  • multicluster engine for Kubernetes, the multicluster-engine provider

  • {ack-s3}, a S3 storage controller

QUICKLINKS

CONTRIBUTE

STAY IN TOUCH

Validated Patterns

Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application.

Red Hat logoCopyright © 2023 Red Hat, Inc.
\ No newline at end of file diff --git a/patterns/hypershift/index.xml b/patterns/hypershift/index.xml new file mode 100644 index 000000000..da20752b3 --- /dev/null +++ b/patterns/hypershift/index.xml @@ -0,0 +1 @@ +HyperShift on Validated Patternshttps://validatedpatterns.io/patterns/hypershift/Recent content in HyperShift on Validated PatternsHugo -- gohugo.ioen-usWed, 15 Nov 2023 00:00:00 +0000 \ No newline at end of file diff --git a/patterns/index.html b/patterns/index.html index 2558d0227..531c6b66c 100644 --- a/patterns/index.html +++ b/patterns/index.html @@ -17,6 +17,8 @@ General

Patterns

Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product.

11 of 11 patterns displayed
Ansible Edge GitOps
This pattern uses OpenShift Virtualization to simulate an edge environment for VMs.
+Red Hat Single Sign-On

Patterns

Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product.

12 of 12 patterns displayed
Ansible Edge GitOps
This pattern uses OpenShift Virtualization to simulate an edge environment for VMs.
Validated
Cockroach
A multicloud pattern using cockroachdb and submariner, deployed via RHACM.
Community
Connected Vehicle Architecture
A distributed cloud-native application that implements key aspects of a modern IoT architecture.
Community
Emerging Disease Detection

This pattern is based on a demo implementation of an automated data pipeline for sepsis analysis previously developed by Red Hat.

+Community
HyperShift

This pattern is for deploying the Hosted Control Plane (HyperShift) service.

Community
Industrial Edge
This pattern demonstrates a horizontal solution for Industrial Edge use cases.
Validated
Kong
A pattern for Kong Gateway Control Plane and Data Plane demo.
Community
Medical Diagnosis

This pattern is based on a demo implementation of an automated data pipeline for chest X-ray analysis previously developed by Red Hat.

@@ -1601,7 +1608,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1632,10 +1655,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/index.xml b/patterns/index.xml index 4361a1cfd..cc5332b98 100644 --- a/patterns/index.xml +++ b/patterns/index.xml @@ -1 +1 @@ -Patterns on Validated Patternshttps://validatedpatterns.io/patterns/Recent content in Patterns on Validated PatternsHugo -- gohugo.ioen-usSat, 23 Sep 2023 00:00:00 +0000 \ No newline at end of file +Patterns on Validated Patternshttps://validatedpatterns.io/patterns/Recent content in Patterns on Validated PatternsHugo -- gohugo.ioen-usWed, 15 Nov 2023 00:00:00 +0000 \ No newline at end of file diff --git a/patterns/industrial-edge/application/index.html b/patterns/industrial-edge/application/index.html index e5d8ccfb1..fd9c491d9 100644 --- a/patterns/industrial-edge/application/index.html +++ b/patterns/industrial-edge/application/index.html @@ -1553,7 +1553,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1584,10 +1600,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/industrial-edge/cluster-sizing/index.html b/patterns/industrial-edge/cluster-sizing/index.html index 0e07ca4cb..1bb03f538 100644 --- a/patterns/industrial-edge/cluster-sizing/index.html +++ b/patterns/industrial-edge/cluster-sizing/index.html @@ -1543,7 +1543,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1574,10 +1590,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/industrial-edge/factory/index.html b/patterns/industrial-edge/factory/index.html index c32c9c15b..731258bd9 100644 --- a/patterns/industrial-edge/factory/index.html +++ b/patterns/industrial-edge/factory/index.html @@ -1556,7 +1556,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1587,10 +1603,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/industrial-edge/getting-started/index.html b/patterns/industrial-edge/getting-started/index.html index ea46d1ead..f63d16768 100644 --- a/patterns/industrial-edge/getting-started/index.html +++ b/patterns/industrial-edge/getting-started/index.html @@ -1649,7 +1649,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1680,10 +1696,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/industrial-edge/ideas-for-customization/index.html b/patterns/industrial-edge/ideas-for-customization/index.html index 4397e3384..96cb3c4a2 100644 --- a/patterns/industrial-edge/ideas-for-customization/index.html +++ b/patterns/industrial-edge/ideas-for-customization/index.html @@ -1542,7 +1542,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1573,10 +1589,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/industrial-edge/index.html b/patterns/industrial-edge/index.html index d411b671c..6eac34256 100644 --- a/patterns/industrial-edge/index.html +++ b/patterns/industrial-edge/index.html @@ -1549,7 +1549,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1580,10 +1596,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/industrial-edge/troubleshooting/index.html b/patterns/industrial-edge/troubleshooting/index.html index 4a4b81bf6..f37d60aff 100644 --- a/patterns/industrial-edge/troubleshooting/index.html +++ b/patterns/industrial-edge/troubleshooting/index.html @@ -1562,7 +1562,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1593,10 +1609,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/kong-gateway/index.html b/patterns/kong-gateway/index.html index 4a9fb7002..5827ccf84 100644 --- a/patterns/kong-gateway/index.html +++ b/patterns/kong-gateway/index.html @@ -1542,7 +1542,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1573,10 +1589,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/medical-diagnosis/cluster-sizing/index.html b/patterns/medical-diagnosis/cluster-sizing/index.html index f25cec8c7..bbc155281 100644 --- a/patterns/medical-diagnosis/cluster-sizing/index.html +++ b/patterns/medical-diagnosis/cluster-sizing/index.html @@ -1542,7 +1542,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1573,10 +1589,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/medical-diagnosis/getting-started/index.html b/patterns/medical-diagnosis/getting-started/index.html index af607f013..f7df5e944 100644 --- a/patterns/medical-diagnosis/getting-started/index.html +++ b/patterns/medical-diagnosis/getting-started/index.html @@ -1615,7 +1615,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1646,10 +1662,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/medical-diagnosis/ideas-for-customization/index.html b/patterns/medical-diagnosis/ideas-for-customization/index.html index 7ff4a2e85..188753f92 100644 --- a/patterns/medical-diagnosis/ideas-for-customization/index.html +++ b/patterns/medical-diagnosis/ideas-for-customization/index.html @@ -1542,7 +1542,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1573,10 +1589,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/medical-diagnosis/index.html b/patterns/medical-diagnosis/index.html index 6f7038d56..6d3358980 100644 --- a/patterns/medical-diagnosis/index.html +++ b/patterns/medical-diagnosis/index.html @@ -1546,7 +1546,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1577,10 +1593,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/medical-diagnosis/troubleshooting/index.html b/patterns/medical-diagnosis/troubleshooting/index.html index 202cefbbc..80628bb90 100644 --- a/patterns/medical-diagnosis/troubleshooting/index.html +++ b/patterns/medical-diagnosis/troubleshooting/index.html @@ -1573,7 +1573,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1604,10 +1620,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/multicloud-gitops-portworx/cluster-sizing/index.html b/patterns/multicloud-gitops-portworx/cluster-sizing/index.html index 116b4d21b..96ed934de 100644 --- a/patterns/multicloud-gitops-portworx/cluster-sizing/index.html +++ b/patterns/multicloud-gitops-portworx/cluster-sizing/index.html @@ -1543,7 +1543,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1574,10 +1590,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/multicloud-gitops-portworx/getting-started/index.html b/patterns/multicloud-gitops-portworx/getting-started/index.html index 5df2212b8..a14ce75d4 100644 --- a/patterns/multicloud-gitops-portworx/getting-started/index.html +++ b/patterns/multicloud-gitops-portworx/getting-started/index.html @@ -1562,7 +1562,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1593,10 +1609,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/multicloud-gitops-portworx/ideas-for-customization/index.html b/patterns/multicloud-gitops-portworx/ideas-for-customization/index.html index 2911a2f25..d1bfe7429 100644 --- a/patterns/multicloud-gitops-portworx/ideas-for-customization/index.html +++ b/patterns/multicloud-gitops-portworx/ideas-for-customization/index.html @@ -1543,7 +1543,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1574,10 +1590,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/multicloud-gitops-portworx/index.html b/patterns/multicloud-gitops-portworx/index.html index 0b1012a72..836a0c43c 100644 --- a/patterns/multicloud-gitops-portworx/index.html +++ b/patterns/multicloud-gitops-portworx/index.html @@ -1547,7 +1547,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1578,10 +1594,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/multicloud-gitops-portworx/managed-cluster/index.html b/patterns/multicloud-gitops-portworx/managed-cluster/index.html index 5604ef011..da7d09ded 100644 --- a/patterns/multicloud-gitops-portworx/managed-cluster/index.html +++ b/patterns/multicloud-gitops-portworx/managed-cluster/index.html @@ -1577,7 +1577,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1608,10 +1624,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/multicloud-gitops/index.html b/patterns/multicloud-gitops/index.html index 292cde2ab..9e78a5821 100644 --- a/patterns/multicloud-gitops/index.html +++ b/patterns/multicloud-gitops/index.html @@ -1547,7 +1547,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1578,10 +1594,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/multicloud-gitops/mcg-cluster-sizing/index.html b/patterns/multicloud-gitops/mcg-cluster-sizing/index.html index 7d319bab2..bc3592135 100644 --- a/patterns/multicloud-gitops/mcg-cluster-sizing/index.html +++ b/patterns/multicloud-gitops/mcg-cluster-sizing/index.html @@ -1541,7 +1541,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1572,10 +1588,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/multicloud-gitops/mcg-getting-started/index.html b/patterns/multicloud-gitops/mcg-getting-started/index.html index bb0d44792..86ad58d63 100644 --- a/patterns/multicloud-gitops/mcg-getting-started/index.html +++ b/patterns/multicloud-gitops/mcg-getting-started/index.html @@ -1542,7 +1542,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1573,10 +1589,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/multicloud-gitops/mcg-ideas-for-customization/index.html b/patterns/multicloud-gitops/mcg-ideas-for-customization/index.html index a99cf8c0b..04f8973a9 100644 --- a/patterns/multicloud-gitops/mcg-ideas-for-customization/index.html +++ b/patterns/multicloud-gitops/mcg-ideas-for-customization/index.html @@ -1541,7 +1541,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1572,10 +1588,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/multicloud-gitops/mcg-imperative-actions/index.html b/patterns/multicloud-gitops/mcg-imperative-actions/index.html index 4b5fe3fd4..5270e380d 100644 --- a/patterns/multicloud-gitops/mcg-imperative-actions/index.html +++ b/patterns/multicloud-gitops/mcg-imperative-actions/index.html @@ -1580,7 +1580,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1611,10 +1627,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/multicloud-gitops/mcg-managed-cluster/index.html b/patterns/multicloud-gitops/mcg-managed-cluster/index.html index 044d33542..56d3c682a 100644 --- a/patterns/multicloud-gitops/mcg-managed-cluster/index.html +++ b/patterns/multicloud-gitops/mcg-managed-cluster/index.html @@ -1569,7 +1569,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1600,10 +1616,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/retail/application/index.html b/patterns/retail/application/index.html index 0a4dddcc6..64f45f86b 100644 --- a/patterns/retail/application/index.html +++ b/patterns/retail/application/index.html @@ -1541,7 +1541,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1572,10 +1588,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/retail/cluster-sizing/index.html b/patterns/retail/cluster-sizing/index.html index db79a0e19..848de28d0 100644 --- a/patterns/retail/cluster-sizing/index.html +++ b/patterns/retail/cluster-sizing/index.html @@ -1543,7 +1543,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1574,10 +1590,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/retail/components/index.html b/patterns/retail/components/index.html index 4362f7fab..dc46ac6d0 100644 --- a/patterns/retail/components/index.html +++ b/patterns/retail/components/index.html @@ -1541,7 +1541,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1572,10 +1588,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/retail/getting-started/index.html b/patterns/retail/getting-started/index.html index 3f5495225..9d2925602 100644 --- a/patterns/retail/getting-started/index.html +++ b/patterns/retail/getting-started/index.html @@ -1561,7 +1561,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1592,10 +1608,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/retail/ideas-for-customization/index.html b/patterns/retail/ideas-for-customization/index.html index a67742e98..543463be4 100644 --- a/patterns/retail/ideas-for-customization/index.html +++ b/patterns/retail/ideas-for-customization/index.html @@ -1541,7 +1541,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1572,10 +1588,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/retail/index.html b/patterns/retail/index.html index 788a6f2a5..7583f69f4 100644 --- a/patterns/retail/index.html +++ b/patterns/retail/index.html @@ -1547,7 +1547,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1578,10 +1594,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/retail/store/index.html b/patterns/retail/store/index.html index a7bb97a3d..333577c44 100644 --- a/patterns/retail/store/index.html +++ b/patterns/retail/store/index.html @@ -1556,7 +1556,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1587,10 +1603,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/patterns/retail/troubleshooting/index.html b/patterns/retail/troubleshooting/index.html index 082c32dae..62dbbd45f 100644 --- a/patterns/retail/troubleshooting/index.html +++ b/patterns/retail/troubleshooting/index.html @@ -1541,7 +1541,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1572,10 +1588,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/products/aws-controller-for-kubernetes/index.html b/products/aws-controller-for-kubernetes/index.html new file mode 100644 index 000000000..0c654a934 --- /dev/null +++ b/products/aws-controller-for-kubernetes/index.html @@ -0,0 +1,3 @@ +AWS Controller for Kubernetes | Validated Patterns
Validated Patterns

HyperShift

This pattern is for deploying the Hosted Control Plane (HyperShift) service.

\ No newline at end of file diff --git a/products/aws-controller-for-kubernetes/index.xml b/products/aws-controller-for-kubernetes/index.xml new file mode 100644 index 000000000..35129a899 --- /dev/null +++ b/products/aws-controller-for-kubernetes/index.xml @@ -0,0 +1,3 @@ +AWS Controller for Kubernetes on Validated Patternshttps://validatedpatterns.io/products/aws-controller-for-kubernetes/Recent content in AWS Controller for Kubernetes on Validated PatternsHugo -- gohugo.ioen-usWed, 15 Nov 2023 00:00:00 +0000HyperShifthttps://validatedpatterns.io/patterns/hypershift/Wed, 15 Nov 2023 00:00:00 +0000https://validatedpatterns.io/patterns/hypershift/<div class="paragraph"> +<p>This pattern is for deploying the Hosted Control Plane (HyperShift) service.</p> +</div> \ No newline at end of file diff --git a/products/aws-controller-for-kubernetes/page/1/index.html b/products/aws-controller-for-kubernetes/page/1/index.html new file mode 100644 index 000000000..65db0f853 --- /dev/null +++ b/products/aws-controller-for-kubernetes/page/1/index.html @@ -0,0 +1,2 @@ +https://validatedpatterns.io/products/aws-controller-for-kubernetes/ + \ No newline at end of file diff --git a/products/index.html b/products/index.html index 960bf8f8b..4dac6a2ea 100644 --- a/products/index.html +++ b/products/index.html @@ -1,3 +1,3 @@ Products | Validated Patterns
Validated Patterns
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\ No newline at end of file diff --git a/products/index.xml b/products/index.xml index bcd0d14dd..5114ac20b 100644 --- a/products/index.xml +++ b/products/index.xml @@ -1 +1 @@ -Products on Validated Patternshttps://validatedpatterns.io/products/Recent content in Products on Validated PatternsHugo -- gohugo.ioen-usSat, 23 Sep 2023 00:00:00 +0000Red Hat AMQ Streamshttps://validatedpatterns.io/products/red-hat-amq-streams/Sat, 23 Sep 2023 00:00:00 +0000https://validatedpatterns.io/products/red-hat-amq-streams/Red Hat OpenShift Container Platformhttps://validatedpatterns.io/products/red-hat-openshift-container-platform/Sat, 23 Sep 2023 00:00:00 +0000https://validatedpatterns.io/products/red-hat-openshift-container-platform/Red Hat OpenShift Serverlesshttps://validatedpatterns.io/products/red-hat-openshift-serverless/Sat, 23 Sep 2023 00:00:00 +0000https://validatedpatterns.io/products/red-hat-openshift-serverless/Red Hat Single Sign-Onhttps://validatedpatterns.io/products/red-hat-single-sign-on/Sat, 23 Sep 2023 00:00:00 +0000https://validatedpatterns.io/products/red-hat-single-sign-on/Red Hat Advanced Cluster Managementhttps://validatedpatterns.io/products/red-hat-advanced-cluster-management/Thu, 08 Dec 2022 00:00:00 +0000https://validatedpatterns.io/products/red-hat-advanced-cluster-management/Red Hat AMQhttps://validatedpatterns.io/products/red-hat-amq/Thu, 08 Dec 2022 00:00:00 +0000https://validatedpatterns.io/products/red-hat-amq/Red Hat Advanced Cluster Securityhttps://validatedpatterns.io/products/red-hat-advanced-cluster-security/Wed, 08 Jun 2022 00:00:00 +0000https://validatedpatterns.io/products/red-hat-advanced-cluster-security/Red Hat Ansible Automation Platformhttps://validatedpatterns.io/products/red-hat-ansible-automation-platform/Wed, 08 Jun 2022 00:00:00 +0000https://validatedpatterns.io/products/red-hat-ansible-automation-platform/Red Hat Enterprise Linuxhttps://validatedpatterns.io/products/red-hat-enterprise-linux/Wed, 08 Jun 2022 00:00:00 +0000https://validatedpatterns.io/products/red-hat-enterprise-linux/Red Hat OpenShift Data Foundationhttps://validatedpatterns.io/products/red-hat-openshift-data-foundation/Wed, 08 Jun 2022 00:00:00 +0000https://validatedpatterns.io/products/red-hat-openshift-data-foundation/Red Hat OpenShift Virtualizationhttps://validatedpatterns.io/products/red-hat-openshift-virtualization/Wed, 08 Jun 2022 00:00:00 +0000https://validatedpatterns.io/products/red-hat-openshift-virtualization/Red Hat Quayhttps://validatedpatterns.io/products/red-hat-quay/Wed, 08 Jun 2022 00:00:00 +0000https://validatedpatterns.io/products/red-hat-quay/Portworx Enterprisehttps://validatedpatterns.io/products/portworx-enterprise/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/products/portworx-enterprise/ \ No newline at end of file +Products on Validated Patternshttps://validatedpatterns.io/products/Recent content in Products on Validated PatternsHugo -- gohugo.ioen-usWed, 15 Nov 2023 00:00:00 +0000AWS Controller for Kuberneteshttps://validatedpatterns.io/products/aws-controller-for-kubernetes/Wed, 15 Nov 2023 00:00:00 +0000https://validatedpatterns.io/products/aws-controller-for-kubernetes/Red Hat MultiCluster Enginehttps://validatedpatterns.io/products/red-hat-multicluster-engine/Wed, 15 Nov 2023 00:00:00 +0000https://validatedpatterns.io/products/red-hat-multicluster-engine/Red Hat OpenShift Container Platformhttps://validatedpatterns.io/products/red-hat-openshift-container-platform/Wed, 15 Nov 2023 00:00:00 +0000https://validatedpatterns.io/products/red-hat-openshift-container-platform/Red Hat AMQ Streamshttps://validatedpatterns.io/products/red-hat-amq-streams/Sat, 23 Sep 2023 00:00:00 +0000https://validatedpatterns.io/products/red-hat-amq-streams/Red Hat OpenShift Serverlesshttps://validatedpatterns.io/products/red-hat-openshift-serverless/Sat, 23 Sep 2023 00:00:00 +0000https://validatedpatterns.io/products/red-hat-openshift-serverless/Red Hat Single Sign-Onhttps://validatedpatterns.io/products/red-hat-single-sign-on/Sat, 23 Sep 2023 00:00:00 +0000https://validatedpatterns.io/products/red-hat-single-sign-on/Red Hat Advanced Cluster Managementhttps://validatedpatterns.io/products/red-hat-advanced-cluster-management/Thu, 08 Dec 2022 00:00:00 +0000https://validatedpatterns.io/products/red-hat-advanced-cluster-management/Red Hat AMQhttps://validatedpatterns.io/products/red-hat-amq/Thu, 08 Dec 2022 00:00:00 +0000https://validatedpatterns.io/products/red-hat-amq/Red Hat Advanced Cluster Securityhttps://validatedpatterns.io/products/red-hat-advanced-cluster-security/Wed, 08 Jun 2022 00:00:00 +0000https://validatedpatterns.io/products/red-hat-advanced-cluster-security/Red Hat Ansible Automation Platformhttps://validatedpatterns.io/products/red-hat-ansible-automation-platform/Wed, 08 Jun 2022 00:00:00 +0000https://validatedpatterns.io/products/red-hat-ansible-automation-platform/Red Hat Enterprise Linuxhttps://validatedpatterns.io/products/red-hat-enterprise-linux/Wed, 08 Jun 2022 00:00:00 +0000https://validatedpatterns.io/products/red-hat-enterprise-linux/Red Hat OpenShift Data Foundationhttps://validatedpatterns.io/products/red-hat-openshift-data-foundation/Wed, 08 Jun 2022 00:00:00 +0000https://validatedpatterns.io/products/red-hat-openshift-data-foundation/Red Hat OpenShift Virtualizationhttps://validatedpatterns.io/products/red-hat-openshift-virtualization/Wed, 08 Jun 2022 00:00:00 +0000https://validatedpatterns.io/products/red-hat-openshift-virtualization/Red Hat Quayhttps://validatedpatterns.io/products/red-hat-quay/Wed, 08 Jun 2022 00:00:00 +0000https://validatedpatterns.io/products/red-hat-quay/Portworx Enterprisehttps://validatedpatterns.io/products/portworx-enterprise/Mon, 01 Jan 0001 00:00:00 +0000https://validatedpatterns.io/products/portworx-enterprise/ \ No newline at end of file diff --git a/products/page/2/index.html b/products/page/2/index.html index 35e40c90b..088803d7c 100644 --- a/products/page/2/index.html +++ b/products/page/2/index.html @@ -1,3 +1,3 @@ Products | Validated Patterns
Validated Patterns
\ No newline at end of file +
\ No newline at end of file diff --git a/products/page/3/index.html b/products/page/3/index.html index 475305ac4..ffcb22cb9 100644 --- a/products/page/3/index.html +++ b/products/page/3/index.html @@ -1,3 +1,3 @@ Products | Validated Patterns
Validated Patterns
\ No newline at end of file +
\ No newline at end of file diff --git a/products/red-hat-multicluster-engine/index.html b/products/red-hat-multicluster-engine/index.html new file mode 100644 index 000000000..362557dd7 --- /dev/null +++ b/products/red-hat-multicluster-engine/index.html @@ -0,0 +1,3 @@ +Red Hat MultiCluster Engine | Validated Patterns
Validated Patterns

HyperShift

This pattern is for deploying the Hosted Control Plane (HyperShift) service.

\ No newline at end of file diff --git a/products/red-hat-multicluster-engine/index.xml b/products/red-hat-multicluster-engine/index.xml new file mode 100644 index 000000000..0a03d67a5 --- /dev/null +++ b/products/red-hat-multicluster-engine/index.xml @@ -0,0 +1,3 @@ +Red Hat MultiCluster Engine on Validated Patternshttps://validatedpatterns.io/products/red-hat-multicluster-engine/Recent content in Red Hat MultiCluster Engine on Validated PatternsHugo -- gohugo.ioen-usWed, 15 Nov 2023 00:00:00 +0000HyperShifthttps://validatedpatterns.io/patterns/hypershift/Wed, 15 Nov 2023 00:00:00 +0000https://validatedpatterns.io/patterns/hypershift/<div class="paragraph"> +<p>This pattern is for deploying the Hosted Control Plane (HyperShift) service.</p> +</div> \ No newline at end of file diff --git a/products/red-hat-multicluster-engine/page/1/index.html b/products/red-hat-multicluster-engine/page/1/index.html new file mode 100644 index 000000000..acc030915 --- /dev/null +++ b/products/red-hat-multicluster-engine/page/1/index.html @@ -0,0 +1,2 @@ +https://validatedpatterns.io/products/red-hat-multicluster-engine/ + \ No newline at end of file diff --git a/products/red-hat-openshift-container-platform/index.html b/products/red-hat-openshift-container-platform/index.html index d9cddb08d..a3d142b4b 100644 --- a/products/red-hat-openshift-container-platform/index.html +++ b/products/red-hat-openshift-container-platform/index.html @@ -1,3 +1,3 @@ Red Hat OpenShift Container Platform | Validated Patterns
Validated Patterns

Emerging Disease Detection

This pattern is based on a demo implementation of an automated data pipeline for sepsis analysis previously developed by Red Hat.

Retail

This pattern demonstrates a pattern that models the store side of a retail application.

Ansible Edge GitOps

This pattern uses OpenShift Virtualization to simulate an edge environment for VMs.

Multicluster DevSecOps

This pattern is derived from the multi-cloud GitOps pattern with added products to provide a complete DevSecOps workflow.

Multicloud GitOps

This pattern helps you develop and deploy applications on an open hybrid cloud in a stable, simple, and secure way.

Industrial Edge

This pattern demonstrates a horizontal solution for Industrial Edge use cases.
\ No newline at end of file +

HyperShift

This pattern is for deploying the Hosted Control Plane (HyperShift) service.

Emerging Disease Detection

This pattern is based on a demo implementation of an automated data pipeline for sepsis analysis previously developed by Red Hat.

Retail

This pattern demonstrates a pattern that models the store side of a retail application.

Ansible Edge GitOps

This pattern uses OpenShift Virtualization to simulate an edge environment for VMs.

Multicluster DevSecOps

This pattern is derived from the multi-cloud GitOps pattern with added products to provide a complete DevSecOps workflow.

Multicloud GitOps

This pattern helps you develop and deploy applications on an open hybrid cloud in a stable, simple, and secure way.

\ No newline at end of file diff --git a/products/red-hat-openshift-container-platform/index.xml b/products/red-hat-openshift-container-platform/index.xml index 1e6e32ebd..e9bf8ff4e 100644 --- a/products/red-hat-openshift-container-platform/index.xml +++ b/products/red-hat-openshift-container-platform/index.xml @@ -1,4 +1,6 @@ -Red Hat OpenShift Container Platform on Validated Patternshttps://validatedpatterns.io/products/red-hat-openshift-container-platform/Recent content in Red Hat OpenShift Container Platform on Validated PatternsHugo -- gohugo.ioen-usSat, 23 Sep 2023 00:00:00 +0000Emerging Disease Detectionhttps://validatedpatterns.io/patterns/emerging-disease-detection/Sat, 23 Sep 2023 00:00:00 +0000https://validatedpatterns.io/patterns/emerging-disease-detection/<div class="paragraph"> +Red Hat OpenShift Container Platform on Validated Patternshttps://validatedpatterns.io/products/red-hat-openshift-container-platform/Recent content in Red Hat OpenShift Container Platform on Validated PatternsHugo -- gohugo.ioen-usWed, 15 Nov 2023 00:00:00 +0000HyperShifthttps://validatedpatterns.io/patterns/hypershift/Wed, 15 Nov 2023 00:00:00 +0000https://validatedpatterns.io/patterns/hypershift/<div class="paragraph"> +<p>This pattern is for deploying the Hosted Control Plane (HyperShift) service.</p> +</div>Emerging Disease Detectionhttps://validatedpatterns.io/patterns/emerging-disease-detection/Sat, 23 Sep 2023 00:00:00 +0000https://validatedpatterns.io/patterns/emerging-disease-detection/<div class="paragraph"> <p>This pattern is based on a demo implementation of an automated data pipeline for sepsis analysis previously developed by Red Hat.</p> </div>Retailhttps://validatedpatterns.io/patterns/retail/Thu, 08 Dec 2022 00:00:00 +0000https://validatedpatterns.io/patterns/retail/This pattern demonstrates a pattern that models the store side of a retail application.Ansible Edge GitOpshttps://validatedpatterns.io/patterns/ansible-edge-gitops/Wed, 08 Jun 2022 00:00:00 +0000https://validatedpatterns.io/patterns/ansible-edge-gitops/This pattern uses OpenShift Virtualization to simulate an edge environment for VMs.Multicluster DevSecOpshttps://validatedpatterns.io/patterns/devsecops/Wed, 08 Jun 2022 00:00:00 +0000https://validatedpatterns.io/patterns/devsecops/This pattern is derived from the multi-cloud GitOps pattern with added products to provide a complete DevSecOps workflow.Multicloud GitOpshttps://validatedpatterns.io/patterns/multicloud-gitops/Sat, 11 Dec 2021 00:00:00 +0000https://validatedpatterns.io/patterns/multicloud-gitops/<div class="paragraph"> <p>This pattern helps you develop and deploy applications on an open hybrid cloud in a stable, simple, and secure way.</p> diff --git a/products/red-hat-openshift-container-platform/page/2/index.html b/products/red-hat-openshift-container-platform/page/2/index.html index f6992babb..326bd8e31 100644 --- a/products/red-hat-openshift-container-platform/page/2/index.html +++ b/products/red-hat-openshift-container-platform/page/2/index.html @@ -1,3 +1,3 @@ Red Hat OpenShift Container Platform | Validated Patterns
Validated Patterns

Medical Diagnosis

This pattern is based on a demo implementation of an automated data pipeline for chest X-ray analysis previously developed by Red Hat.

Cockroach

A multicloud pattern using cockroachdb and submariner, deployed via RHACM.

Connected Vehicle Architecture

A distributed cloud-native application that implements key aspects of a modern IoT architecture.

Kong

A pattern for Kong Gateway Control Plane and Data Plane demo.

Multicloud GitOps with Portworx Enterprise

This pattern helps you develop and deploy applications on an open hybrid cloud in a stable, simple, and secure way. It includes persistent storage for stateful applications.
\ No newline at end of file +

Industrial Edge

This pattern demonstrates a horizontal solution for Industrial Edge use cases.

Medical Diagnosis

This pattern is based on a demo implementation of an automated data pipeline for chest X-ray analysis previously developed by Red Hat.

Cockroach

A multicloud pattern using cockroachdb and submariner, deployed via RHACM.

Connected Vehicle Architecture

A distributed cloud-native application that implements key aspects of a modern IoT architecture.

Kong

A pattern for Kong Gateway Control Plane and Data Plane demo.

Multicloud GitOps with Portworx Enterprise

This pattern helps you develop and deploy applications on an open hybrid cloud in a stable, simple, and secure way. It includes persistent storage for stateful applications.
\ No newline at end of file diff --git a/search/index.html b/search/index.html index c8946ea2a..8270e5933 100644 --- a/search/index.html +++ b/search/index.html @@ -1540,7 +1540,23 @@ Excited or intrigued by what you see here? We’d love to hear your thoughts and ideas! Try the patterns contained here and see below for links to our repositories and issue trackers. How can I get involved? Try out what we’ve done and submit issues to our issue trackers. We will review pull requests to our pattern repositories. -`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. +`,url:"https://validatedpatterns.io/learn/faq/",breadcrumb:"/learn/faq/"},"https://validatedpatterns.io/patterns/hypershift/":{title:"HyperShift",tags:[],content:`About the HyperShift pattern (hosted control plane) Background This pattern simplifies the deployment of an hosted control plane or hosted control plane cluster. Use this pattern to create hosted control plane clusters. +Workflow Install multicluster engine for Kubernetes Operator +Create an instance of the MultiClusterEngine to enable hypershift, which is a [technology preview feature](https://access.redhat.com/support/offerings/techpreview). +Install the AWS Controllers for Kubernetes - Amazon S3 Operator +Create an S3 bucket that hosted control plane will use for OpenID Connect (OIDC) +Create a buildconfig and imagestream that provide the HyperShift cli (hypershift) as an imagestream to be used in further automation if desired. +Figure 1. source: https://hypershift-docs.netlify.app/ If you have any questions or concerns contact Jonny Rickard. +About the solution elements The solution enables the rapid provisioning of hosted control plane. +The HyperShift pattern uses the following products and technologies: +Red Hat OpenShift Container Platform for container orchestration +Red Hat OpenShift GitOps, a GitOps continuous delivery (CD) solution +multicluster engine for Kubernetes, the multicluster-engine provider +{ack-s3}, a S3 storage controller +`,url:"https://validatedpatterns.io/patterns/hypershift/",breadcrumb:"/patterns/hypershift/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. +`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` +Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. +`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/emerging-disease-detection/":{title:"Emerging Disease Detection",tags:[],content:` About the Emerging Disease Detection pattern Use case Use a GitOps approach to manage a hybrid cloud deployment for an AI emerging disease detection system. Use a AI automation at the edge to detect emerging diseases. Use an event driven architecture Enable application lifecycle management. @@ -1571,10 +1587,7 @@ Hashicorp Vault Provides a secure centralized store for dynamic infrastructure and applications across clusters, including over low-trust networks between clouds and data centers. This solution also uses a variety of observability tools including the Prometheus monitoring and Grafana dashboard that are integrated with OpenShift as well as components of the Observatorium meta-project which includes Thanos and the Loki API. Next steps Deploy the management hub using Helm. -`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/":{title:"Patterns",tags:[],content:`Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product. -`,url:"https://validatedpatterns.io/patterns/",breadcrumb:"/patterns/"},"https://validatedpatterns.io/":{title:"Validated Patterns",tags:[],content:` -Reference architectures with added value Validated Patterns are an evolution of how you deploy applications in a hybrid cloud. With a pattern, you can automatically deploy a full application stack through a GitOps-based framework. With this framework, you can create business-centric solutions while maintaining a level of Continuous Integration (CI) over your application. -`,url:"https://validatedpatterns.io/",breadcrumb:"/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. +`,url:"https://validatedpatterns.io/patterns/emerging-disease-detection/",breadcrumb:"/patterns/emerging-disease-detection/"},"https://validatedpatterns.io/patterns/retail/":{title:"Retail",tags:[],content:`Retail Pattern Background This pattern demonstrates a pattern that models the store side of a retail application. It is derived from the Quarkus Coffeeshop Demo done by Red Hat Solution Architects. The demo models the use of multiple application microservices which use Kafka messaging to interact and a Postgres database to persist data. (There is a homeoffice analytics suite in the demo that we hope to include in a later version of the pattern. This demo pulls together several different strands of the demo and allows for multiple stores to be installed on remote clusters via ACM if the user desires. The demo allows users to go to the store’s web page, order drinks and food items, and see those items “made” and served by the microservices in real time. diff --git a/sitemap.xml b/sitemap.xml index b0c9beb64..5f30f9076 100644 --- a/sitemap.xml +++ b/sitemap.xml @@ -1 +1 @@ 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