From 7436641b56c736a253d0d0cc6007990f09f9be77 Mon Sep 17 00:00:00 2001 From: obaydullahmhs Date: Mon, 2 Sep 2024 18:26:42 +0600 Subject: [PATCH] Add monitoring builtin Signed-off-by: obaydullahmhs --- .../connectcluster-quickstart.yaml} | 0 .../mongodb-source-connector.yaml | 0 .../kafka/monitoring/kafka-builtin-prom.yaml | 26 ++ .../kafka/monitoring/kf-with-monitoring.yaml | 2 +- .../kafka/restproxy/restproxy-quickstart.yaml | 12 + .../schemaregistry-apicurio.yaml | 12 + docs/guides/kafka/concepts/restproxy.md | 163 +++++++ docs/guides/kafka/concepts/schemaregistry.md | 163 +++++++ .../kafka/concepts/schemaregistryversion.md | 93 ++++ .../index.md => connectcluster/overview.md} | 12 +- .../monitoring/using-builtin-prometheus.md | 371 ++++++++++++++++ docs/guides/kafka/restproxy/_index.md | 10 + docs/guides/kafka/restproxy/overview.md | 408 ++++++++++++++++++ docs/guides/kafka/schemaregistry/_index.md | 10 + docs/guides/kafka/schemaregistry/overview.md | 351 +++++++++++++++ .../monitoring/kafka-builtin-prom-target.png | Bin 0 -> 110573 bytes .../restproxy/restproxy-crd-lifecycle.png | Bin 0 -> 55119 bytes .../schemaregistry-crd-lifecycle.png | Bin 0 -> 59049 bytes .../schemaregistry-ui-apicurio.png | Bin 0 -> 57790 bytes 19 files changed, 1626 insertions(+), 7 deletions(-) rename docs/{guides/kafka/quickstart/connectcluster/yamls/connectcluster.yaml => examples/kafka/connectcluster/connectcluster-quickstart.yaml} (100%) rename docs/{guides/kafka/quickstart/connectcluster/yamls => examples/kafka/connectcluster}/mongodb-source-connector.yaml (100%) create mode 100644 docs/examples/kafka/monitoring/kafka-builtin-prom.yaml create mode 100644 docs/examples/kafka/restproxy/restproxy-quickstart.yaml create mode 100644 docs/examples/kafka/schemaregistry/schemaregistry-apicurio.yaml create mode 100644 docs/guides/kafka/concepts/restproxy.md create mode 100644 docs/guides/kafka/concepts/schemaregistry.md create mode 100644 docs/guides/kafka/concepts/schemaregistryversion.md rename docs/guides/kafka/{quickstart/connectcluster/index.md => connectcluster/overview.md} (99%) create mode 100644 docs/guides/kafka/monitoring/using-builtin-prometheus.md create mode 100644 docs/guides/kafka/restproxy/_index.md create mode 100644 docs/guides/kafka/restproxy/overview.md create mode 100644 docs/guides/kafka/schemaregistry/_index.md create mode 100644 docs/guides/kafka/schemaregistry/overview.md create mode 100644 docs/images/kafka/monitoring/kafka-builtin-prom-target.png create mode 100644 docs/images/kafka/restproxy/restproxy-crd-lifecycle.png create mode 100644 docs/images/kafka/schemaregistry/schemaregistry-crd-lifecycle.png create mode 100644 docs/images/kafka/schemaregistry/schemaregistry-ui-apicurio.png diff --git a/docs/guides/kafka/quickstart/connectcluster/yamls/connectcluster.yaml b/docs/examples/kafka/connectcluster/connectcluster-quickstart.yaml similarity index 100% rename from docs/guides/kafka/quickstart/connectcluster/yamls/connectcluster.yaml rename to docs/examples/kafka/connectcluster/connectcluster-quickstart.yaml diff --git a/docs/guides/kafka/quickstart/connectcluster/yamls/mongodb-source-connector.yaml b/docs/examples/kafka/connectcluster/mongodb-source-connector.yaml similarity index 100% rename from docs/guides/kafka/quickstart/connectcluster/yamls/mongodb-source-connector.yaml rename to docs/examples/kafka/connectcluster/mongodb-source-connector.yaml diff --git a/docs/examples/kafka/monitoring/kafka-builtin-prom.yaml b/docs/examples/kafka/monitoring/kafka-builtin-prom.yaml new file mode 100644 index 0000000000..62a0d9683a --- /dev/null +++ b/docs/examples/kafka/monitoring/kafka-builtin-prom.yaml @@ -0,0 +1,26 @@ +apiVersion: kubedb.com/v1alpha2 +kind: Kafka +metadata: + name: kafka-builtin-prom + namespace: demo +spec: + replicas: 2 + version: 3.6.1 + storage: + accessModes: + - ReadWriteOnce + resources: + requests: + storage: 1Gi + storageClassName: standard + storageType: Durable + monitor: + agent: prometheus.io/builtin + prometheus: + exporter: + port: 56790 + serviceMonitor: + labels: + release: prometheus + interval: 10s + deletionPolicy: WipeOut \ No newline at end of file diff --git a/docs/examples/kafka/monitoring/kf-with-monitoring.yaml b/docs/examples/kafka/monitoring/kf-with-monitoring.yaml index b799d9f005..cdce7aa9d4 100644 --- a/docs/examples/kafka/monitoring/kf-with-monitoring.yaml +++ b/docs/examples/kafka/monitoring/kf-with-monitoring.yaml @@ -23,7 +23,7 @@ spec: agent: prometheus.io/operator prometheus: exporter: - port: 9091 + port: 56790 serviceMonitor: labels: release: prometheus diff --git a/docs/examples/kafka/restproxy/restproxy-quickstart.yaml b/docs/examples/kafka/restproxy/restproxy-quickstart.yaml new file mode 100644 index 0000000000..ab85356e24 --- /dev/null +++ b/docs/examples/kafka/restproxy/restproxy-quickstart.yaml @@ -0,0 +1,12 @@ +apiVersion: kafka.kubedb.com/v1alpha1 +kind: RestProxy +metadata: + name: restproxy-quickstart + namespace: demo +spec: + version: 3.15.0 + replicas: 2 + kafkaRef: + name: kafka-quickstart + namespace: demo + deletionPolicy: WipeOut \ No newline at end of file diff --git a/docs/examples/kafka/schemaregistry/schemaregistry-apicurio.yaml b/docs/examples/kafka/schemaregistry/schemaregistry-apicurio.yaml new file mode 100644 index 0000000000..875433aaaf --- /dev/null +++ b/docs/examples/kafka/schemaregistry/schemaregistry-apicurio.yaml @@ -0,0 +1,12 @@ +apiVersion: kafka.kubedb.com/v1alpha1 +kind: SchemaRegistry +metadata: + name: schemaregistry-quickstart + namespace: demo +spec: + version: 2.5.11.final + replicas: 2 + kafkaRef: + name: kafka-quickstart + namespace: demo + deletionPolicy: WipeOut \ No newline at end of file diff --git a/docs/guides/kafka/concepts/restproxy.md b/docs/guides/kafka/concepts/restproxy.md new file mode 100644 index 0000000000..3ec7b7af71 --- /dev/null +++ b/docs/guides/kafka/concepts/restproxy.md @@ -0,0 +1,163 @@ +--- +title: RestProxy CRD +menu: + docs_{{ .version }}: + identifier: kf-restproxy-concepts + name: RestProxy + parent: kf-concepts-kafka + weight: 15 +menu_name: docs_{{ .version }} +section_menu_id: guides +--- + +> New to KubeDB? Please start [here](/docs/README.md). + +# RestProxy + +## What is RestProxy + +`RestProxy` is a Kubernetes `Custom Resource Definitions` (CRD). It provides declarative configuration for [RestProxy](https://www.apicur.io/registry/) in a Kubernetes native way. You only need to describe the desired configuration in a `RestProxy` object, and the KubeDB operator will create Kubernetes objects in the desired state for you. + +## RestProxy Spec + +As with all other Kubernetes objects, a RestProxy needs `apiVersion`, `kind`, and `metadata` fields. It also needs a `.spec` section. Below is an example RestProxy object. + +```yaml +apiVersion: kafka.kubedb.com/v1alpha1 +kind: RestProxy +metadata: + name: restproxy + namespace: demo +spec: + version: 3.15.0 + healthChecker: + failureThreshold: 3 + periodSeconds: 20 + timeoutSeconds: 10 + replicas: 3 + kafkaRef: + name: kafka + namespace: demo + podTemplate: + metadata: + annotations: + passMe: ToDatabasePod + labels: + thisLabel: willGoToPod + controller: + annotations: + passMe: ToPetSet + labels: + thisLabel: willGoToSts + deletionPolicy: WipeOut +``` + +### spec.version + +`spec.version` is a required field specifying the name of the [SchemaRegistryVersion](/docs/guides/kafka/concepts/schemaregistryversion.md) CR where the docker images are specified. Currently, when you install KubeDB, it creates the following `SchemaRegistryVersion` resources, +- `2.5.11.final` +- `3.15.0` + +### spec.replicas + +`spec.replicas` the number of instances in Rest Proxy. + +KubeDB uses `PodDisruptionBudget` to ensure that majority of these replicas are available during [voluntary disruptions](https://kubernetes.io/docs/concepts/workloads/pods/disruptions/#voluntary-and-involuntary-disruptions) so that quorum is maintained. + +### spec.kafkaRef + +`spec.kafkaRef` is a optional field that specifies the name and namespace of the appbinding for `Kafka` object that the `RestProxy` object is associated with. +```yaml +kafkaRef: + name: + namespace: +``` + +### spec.podTemplate + +KubeDB allows providing a template for pod through `spec.podTemplate`. KubeDB operator will pass the information provided in `spec.podTemplate` to the PetSet created for RestProxy. + +KubeDB accept following fields to set in `spec.podTemplate:` + +- metadata: + - annotations (pod's annotation) + - labels (pod's labels) +- controller: + - annotations (petset's annotation) + - labels (petset's labels) +- spec: + - volumes + - initContainers + - containers + - imagePullSecrets + - nodeSelector + - affinity + - serviceAccountName + - schedulerName + - tolerations + - priorityClassName + - priority + - securityContext + - livenessProbe + - readinessProbe + - lifecycle + +You can check out the full list [here](https://github.com/kmodules/offshoot-api/blob/39bf8b2/api/v2/types.go#L44-L279). Uses of some field of `spec.podTemplate` is described below, + +#### spec.podTemplate.spec.nodeSelector + +`spec.podTemplate.spec.nodeSelector` is an optional field that specifies a map of key-value pairs. For the pod to be eligible to run on a node, the node must have each of the indicated key-value pairs as labels (it can have additional labels as well). To learn more, see [here](https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#nodeselector) . + +#### spec.podTemplate.spec.resources + +`spec.podTemplate.spec.resources` is an optional field. This can be used to request compute resources required by the database pods. To learn more, visit [here](http://kubernetes.io/docs/user-guide/compute-resources/). + +### spec.serviceTemplates + +You can also provide template for the services created by KubeDB operator for Kafka cluster through `spec.serviceTemplates`. This will allow you to set the type and other properties of the services. + +KubeDB allows following fields to set in `spec.serviceTemplates`: +- `alias` represents the identifier of the service. It has the following possible value: + - `stats` is used for the exporter service identification. +- metadata: + - labels + - annotations +- spec: + - type + - ports + - clusterIP + - externalIPs + - loadBalancerIP + - loadBalancerSourceRanges + - externalTrafficPolicy + - healthCheckNodePort + - sessionAffinityConfig + +See [here](https://github.com/kmodules/offshoot-api/blob/kubernetes-1.21.1/api/v1/types.go#L237) to understand these fields in detail. + +### spec.deletionPolicy + +`spec.deletionPolicy` gives flexibility whether to `nullify`(reject) the delete operation of `RestProxy` crd or which resources KubeDB should keep or delete when you delete `RestProxy` crd. KubeDB provides following four deletion policies: + +- Delete +- DoNotTerminate +- WipeOut + +When `deletionPolicy` is `DoNotTerminate`, KubeDB takes advantage of `ValidationWebhook` feature in Kubernetes 1.9.0 or later clusters to implement `DoNotTerminate` feature. If admission webhook is enabled, `DoNotTerminate` prevents users from deleting the database as long as the `spec.deletionPolicy` is set to `DoNotTerminate`. + +## spec.healthChecker +It defines the attributes for the health checker. +- `spec.healthChecker.periodSeconds` specifies how often to perform the health check. +- `spec.healthChecker.timeoutSeconds` specifies the number of seconds after which the probe times out. +- `spec.healthChecker.failureThreshold` specifies minimum consecutive failures for the healthChecker to be considered failed. +- `spec.healthChecker.disableWriteCheck` specifies whether to disable the writeCheck or not. + +Know details about KubeDB Health checking from this [blog post](https://appscode.com/blog/post/kubedb-health-checker/). + +## Next Steps + +- Learn how to use KubeDB to run a Apache Kafka Connect cluster [here](/docs/guides/kafka/README.md). +- Monitor your RestProxy with KubeDB using [`out-of-the-box` Prometheus operator](/docs/guides/kafka/monitoring/using-prometheus-operator.md). +- Detail concepts of [KafkaConnectorVersion object](/docs/guides/kafka/concepts/kafkaconnectorversion.md). +- Learn to use KubeDB managed Kafka objects using [CLIs](/docs/guides/kafka/cli/cli.md). +- Want to hack on KubeDB? Check our [contribution guidelines](/docs/CONTRIBUTING.md). diff --git a/docs/guides/kafka/concepts/schemaregistry.md b/docs/guides/kafka/concepts/schemaregistry.md new file mode 100644 index 0000000000..9d79a8f68c --- /dev/null +++ b/docs/guides/kafka/concepts/schemaregistry.md @@ -0,0 +1,163 @@ +--- +title: SchemaRegistry CRD +menu: + docs_{{ .version }}: + identifier: kf-schemaregistry-concepts + name: SchemaRegistry + parent: kf-concepts-kafka + weight: 15 +menu_name: docs_{{ .version }} +section_menu_id: guides +--- + +> New to KubeDB? Please start [here](/docs/README.md). + +# SchemaRegistry + +## What is SchemaRegistry + +`SchemaRegistry` is a Kubernetes `Custom Resource Definitions` (CRD). It provides declarative configuration for [SchemaRegistry](https://www.apicur.io/registry/) in a Kubernetes native way. You only need to describe the desired configuration in a `SchemaRegistry` object, and the KubeDB operator will create Kubernetes objects in the desired state for you. + +## SchemaRegistry Spec + +As with all other Kubernetes objects, a SchemaRegistry needs `apiVersion`, `kind`, and `metadata` fields. It also needs a `.spec` section. Below is an example SchemaRegistry object. + +```yaml +apiVersion: kafka.kubedb.com/v1alpha1 +kind: SchemaRegistry +metadata: + name: schemaregistry + namespace: demo +spec: + version: 2.5.11.final + healthChecker: + failureThreshold: 3 + periodSeconds: 20 + timeoutSeconds: 10 + replicas: 3 + kafkaRef: + name: kafka + namespace: demo + podTemplate: + metadata: + annotations: + passMe: ToDatabasePod + labels: + thisLabel: willGoToPod + controller: + annotations: + passMe: ToPetSet + labels: + thisLabel: willGoToSts + deletionPolicy: WipeOut +``` + +### spec.version + +`spec.version` is a required field specifying the name of the [SchemaRegistryVersion](/docs/guides/kafka/concepts/schemaregistryversion.md) CR where the docker images are specified. Currently, when you install KubeDB, it creates the following `SchemaRegistryVersion` resources, +- `2.5.11.final` +- `3.15.0` + +### spec.replicas + +`spec.replicas` the number of instances in SchemaRegistry. + +KubeDB uses `PodDisruptionBudget` to ensure that majority of these replicas are available during [voluntary disruptions](https://kubernetes.io/docs/concepts/workloads/pods/disruptions/#voluntary-and-involuntary-disruptions) so that quorum is maintained. + +### spec.kafkaRef + +`spec.kafkaRef` is a optional field that specifies the name and namespace of the appbinding for `Kafka` object that the `SchemaRegistry` object is associated with. +```yaml +kafkaRef: + name: + namespace: +``` + +### spec.podTemplate + +KubeDB allows providing a template for pod through `spec.podTemplate`. KubeDB operator will pass the information provided in `spec.podTemplate` to the PetSet created for SchemaRegistry. + +KubeDB accept following fields to set in `spec.podTemplate:` + +- metadata: + - annotations (pod's annotation) + - labels (pod's labels) +- controller: + - annotations (petset's annotation) + - labels (petset's labels) +- spec: + - volumes + - initContainers + - containers + - imagePullSecrets + - nodeSelector + - affinity + - serviceAccountName + - schedulerName + - tolerations + - priorityClassName + - priority + - securityContext + - livenessProbe + - readinessProbe + - lifecycle + +You can check out the full list [here](https://github.com/kmodules/offshoot-api/blob/39bf8b2/api/v2/types.go#L44-L279). Uses of some field of `spec.podTemplate` is described below, + +#### spec.podTemplate.spec.nodeSelector + +`spec.podTemplate.spec.nodeSelector` is an optional field that specifies a map of key-value pairs. For the pod to be eligible to run on a node, the node must have each of the indicated key-value pairs as labels (it can have additional labels as well). To learn more, see [here](https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#nodeselector) . + +#### spec.podTemplate.spec.resources + +`spec.podTemplate.spec.resources` is an optional field. This can be used to request compute resources required by the database pods. To learn more, visit [here](http://kubernetes.io/docs/user-guide/compute-resources/). + +### spec.serviceTemplates + +You can also provide template for the services created by KubeDB operator for Kafka cluster through `spec.serviceTemplates`. This will allow you to set the type and other properties of the services. + +KubeDB allows following fields to set in `spec.serviceTemplates`: +- `alias` represents the identifier of the service. It has the following possible value: + - `stats` is used for the exporter service identification. +- metadata: + - labels + - annotations +- spec: + - type + - ports + - clusterIP + - externalIPs + - loadBalancerIP + - loadBalancerSourceRanges + - externalTrafficPolicy + - healthCheckNodePort + - sessionAffinityConfig + +See [here](https://github.com/kmodules/offshoot-api/blob/kubernetes-1.21.1/api/v1/types.go#L237) to understand these fields in detail. + +### spec.deletionPolicy + +`spec.deletionPolicy` gives flexibility whether to `nullify`(reject) the delete operation of `SchemaRegistry` crd or which resources KubeDB should keep or delete when you delete `SchemaRegistry` crd. KubeDB provides following four deletion policies: + +- Delete +- DoNotTerminate +- WipeOut + +When `deletionPolicy` is `DoNotTerminate`, KubeDB takes advantage of `ValidationWebhook` feature in Kubernetes 1.9.0 or later clusters to implement `DoNotTerminate` feature. If admission webhook is enabled, `DoNotTerminate` prevents users from deleting the database as long as the `spec.deletionPolicy` is set to `DoNotTerminate`. + +## spec.healthChecker +It defines the attributes for the health checker. +- `spec.healthChecker.periodSeconds` specifies how often to perform the health check. +- `spec.healthChecker.timeoutSeconds` specifies the number of seconds after which the probe times out. +- `spec.healthChecker.failureThreshold` specifies minimum consecutive failures for the healthChecker to be considered failed. +- `spec.healthChecker.disableWriteCheck` specifies whether to disable the writeCheck or not. + +Know details about KubeDB Health checking from this [blog post](https://appscode.com/blog/post/kubedb-health-checker/). + +## Next Steps + +- Learn how to use KubeDB to run a Apache Kafka Connect cluster [here](/docs/guides/kafka/README.md). +- Monitor your SchemaRegistry with KubeDB using [`out-of-the-box` Prometheus operator](/docs/guides/kafka/monitoring/using-prometheus-operator.md). +- Detail concepts of [KafkaConnectorVersion object](/docs/guides/kafka/concepts/kafkaconnectorversion.md). +- Learn to use KubeDB managed Kafka objects using [CLIs](/docs/guides/kafka/cli/cli.md). +- Want to hack on KubeDB? Check our [contribution guidelines](/docs/CONTRIBUTING.md). diff --git a/docs/guides/kafka/concepts/schemaregistryversion.md b/docs/guides/kafka/concepts/schemaregistryversion.md new file mode 100644 index 0000000000..54b2bb576d --- /dev/null +++ b/docs/guides/kafka/concepts/schemaregistryversion.md @@ -0,0 +1,93 @@ +--- +title: SchemaRegistryVersion CRD +menu: + docs_{{ .version }}: + identifier: kf-schemaregistryversion-concepts + name: SchemaRegistryVersion + parent: kf-concepts-kafka + weight: 30 +menu_name: docs_{{ .version }} +section_menu_id: guides +--- + +> New to KubeDB? Please start [here](/docs/README.md). + +# SchemaRegistryVersion + +## What is SchemaRegistryVersion + +`SchemaRegistryVersion` is a Kubernetes `Custom Resource Definitions` (CRD). It provides a declarative configuration to specify the docker images to be used for install SchemaRegistry and RestProxy with KubeDB in a Kubernetes native way. + +When you install KubeDB, a `SchemaRegistryVersion` custom resource will be created automatically for every supported SchemaRegistry Version. You have to specify list of `SchemaRegistryVersion` CR names in `spec.version` field of SchemaRegistry or RestProxy CR. Then, KubeDB will use the docker images specified in the `SchemaRegistryVersion` cr to install your SchemaRegistry or RestProxy. + +Using a separate CR for specifying respective docker images and policies independent of KubeDB operator. This will also allow the users to use a custom image for the SchemaRegistry or RestProxy. + +## SchemaRegistryVersion Spec + +As with all other Kubernetes objects, a KafkaVersion needs `apiVersion`, `kind`, and `metadata` fields. It also needs a `.spec` section. + +```yaml +apiVersion: catalog.kubedb.com/v1alpha1 +kind: SchemaRegistryVersion +metadata: + annotations: + meta.helm.sh/release-name: kubedb-catalog + meta.helm.sh/release-namespace: kubedb + creationTimestamp: "2024-08-30T04:54:14Z" + generation: 1 + labels: + app.kubernetes.io/instance: kubedb-catalog + app.kubernetes.io/managed-by: Helm + app.kubernetes.io/name: kubedb-catalog + app.kubernetes.io/version: v2024.8.21 + helm.sh/chart: kubedb-catalog-v2024.8.21 + name: 2.5.11.final + resourceVersion: "133199" + uid: deca9f55-6fef-4477-a66d-7e1fe77d9bbd +spec: + distribution: Apicurio + inMemory: + image: apicurio/apicurio-registry-mem:2.5.11.Final + registry: + image: apicurio/apicurio-registry-kafkasql:2.5.11.Final + securityContext: + runAsUser: 1001 + version: 2.5.11 +``` + +### metadata.name + +`metadata.name` is a required field that specifies the name of the `SchemaRegistryVersion` CR. You have to specify this name in `spec.version` field of SchemaRegistry and RestProxy CR. + +### spec.version + +`spec.version` is a required field that specifies the original version of SchemaRegistry that has been used to build the docker image specified in `spec.registry` field. + +### spec.deprecated + +`spec.deprecated` is an optional field that specifies whether the docker images specified here is supported by the current KubeDB operator. + +The default value of this field is `false`. If `spec.deprecated` is set to `true`, KubeDB operator will skip processing this CRD object and will add a event to the CRD object specifying that the DB version is deprecated. + +### spec.registry.image + +`spec.registry.image` is a required field that specifies the docker image which will be used to install schema registry or restproxy by KubeDB operator. + +### spec.inMemory.image + +`spec.inMemory.image` is a optional field that specifies the docker image which will be used to install schema registry in memory by KubeDB operator. + +```bash +helm upgrade -i kubedb oci://ghcr.io/appscode-charts/kubedb \ + --namespace kubedb --create-namespace \ + --set additionalPodSecurityPolicies[0]=custom-db-policy \ + --set additionalPodSecurityPolicies[1]=custom-snapshotter-policy \ + --set-file global.license=/path/to/the/license.txt \ + --wait --burst-limit=10000 --debug +``` + +## Next Steps + +- Learn about Kafka CRD [here](/docs/guides/kafka/concepts/kafka.md). +- Learn about SchemaRegistry CRD [here](/docs/guides/kafka/concepts/schemaregistry.md). +- Deploy your first ConnectCluster with KubeDB by following the guide [here](/docs/guides/kafka/quickstart/connectcluster/index.md). diff --git a/docs/guides/kafka/quickstart/connectcluster/index.md b/docs/guides/kafka/connectcluster/overview.md similarity index 99% rename from docs/guides/kafka/quickstart/connectcluster/index.md rename to docs/guides/kafka/connectcluster/overview.md index 7f41e2e0c6..6a925185da 100644 --- a/docs/guides/kafka/quickstart/connectcluster/index.md +++ b/docs/guides/kafka/connectcluster/overview.md @@ -2,9 +2,9 @@ title: ConnectCluster Quickstart menu: docs_{{ .version }}: - identifier: kf-kafka-quickstart-connectcluster - name: ConnectCluster - parent: kf-quickstart-kafka + identifier: kf-connectcluster-guides-quickstart + name: Overview + parent: kf-connectcluster-guides weight: 15 menu_name: docs_{{ .version }} section_menu_id: guides @@ -128,7 +128,7 @@ Here, - `spec.deletionPolicy` specifies what KubeDB should do when a user try to delete ConnectCluster CR. Deletion policy `WipeOut` will delete the worker pods, secret when the ConnectCluster CR is deleted. ## N.B: -1. If replicas are set to 1, the ConnectCluster will run in standalone mode, you can't scale replica after provision the cluster. +1. If replicas are set to 1, the ConnectCluster will run in standalone mode, you can't scale replica after provision the cluster. 2. If replicas are set to more than 1, the ConnectCluster will run in distributed mode. 3. If you want to run the ConnectCluster in distributed mode with 1 replica, you must set the `CONNECT_CLUSTER_MODE` environment variable to `distributed` in the pod template. ```yaml @@ -146,7 +146,7 @@ Before create ConnectCluster, you have to deploy a `Kafka` cluster first. To dep Let's create the ConnectCluster CR that is shown above: ```bash -$ kubectl apply -f https://github.com/kubedb/docs/raw/{{< param "info.version" >}}/docs/guides/kafka/quickstart/connectcluster/yamls/connectcluster.yaml +$ kubectl apply -f https://github.com/kubedb/docs/raw/{{< param "info.version" >}}/docs/guides/kafka/quickstart/connectcluster/yamls/connectcluster-quickstart.yaml connectcluster.kafka.kubedb.com/connectcluster-quickstart created ``` @@ -392,7 +392,7 @@ $ cat config.properties value.converter.schemas.enable=false ``` -Here, +Here, 1. A MongoDB instance is already running. You can use your own MongoDB instance. To run mongodb instance, follow the [MongoDB Quickstart](/docs/guides/mongodb/quickstart/quickstart.md) guide. 2. Update `connection.uri` with your MongoDB URI. Example: `mongodb://::/`. 3. Update `database` and `collection` as per your MongoDB database and collection name. We are using `mongodb` and `source` as database and collection name respectively. diff --git a/docs/guides/kafka/monitoring/using-builtin-prometheus.md b/docs/guides/kafka/monitoring/using-builtin-prometheus.md new file mode 100644 index 0000000000..6d29116adc --- /dev/null +++ b/docs/guides/kafka/monitoring/using-builtin-prometheus.md @@ -0,0 +1,371 @@ +--- +title: Monitor Kafka using Builtin Prometheus Discovery +menu: + docs_{{ .version }}: + identifier: kf-using-builtin-prometheus-monitoring + name: Builtin Prometheus + parent: kf-monitoring-kafka + weight: 20 +menu_name: docs_{{ .version }} +section_menu_id: guides +--- + +> New to KubeDB? Please start [here](/docs/README.md). + +# Monitoring Kafka with builtin Prometheus + +This tutorial will show you how to monitor Kafka cluster using builtin [Prometheus](https://github.com/prometheus/prometheus) scraper. + +## Before You Begin + +- At first, you need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster. If you do not already have a cluster, you can create one by using [kind](https://kind.sigs.k8s.io/docs/user/quick-start/). + +- Install KubeDB operator in your cluster following the steps [here](/docs/setup/README.md). + +- If you are not familiar with how to configure Prometheus to scrape metrics from various Kubernetes resources, please read the tutorial from [here](https://github.com/appscode/third-party-tools/tree/master/monitoring/prometheus/builtin). + +- To learn how Prometheus monitoring works with KubeDB in general, please visit [here](/docs/guides/kafka/monitoring/overview.md). + +- To keep Prometheus resources isolated, we are going to use a separate namespace called `monitoring` to deploy respective monitoring resources. We are going to deploy database in `demo` namespace. + + ```bash + $ kubectl create ns monitoring + namespace/monitoring created + + $ kubectl create ns demo + namespace/demo created + ``` + +> Note: YAML files used in this tutorial are stored in [docs/examples/kafka](https://github.com/kubedb/docs/tree/{{< param "info.version" >}}/docs/examples/kafka) folder in GitHub repository [kubedb/docs](https://github.com/kubedb/docs). + +## Deploy Kafka with Monitoring Enabled + +At first, let's deploy a Kafka cluster with monitoring enabled. Below is the Kafka object that we are going to create. + +```yaml +apiVersion: kubedb.com/v1alpha2 +kind: Kafka +metadata: + name: kafka-builtin-prom + namespace: demo +spec: + replicas: 2 + version: 3.6.1 + storage: + accessModes: + - ReadWriteOnce + resources: + requests: + storage: 1Gi + storageClassName: standard + storageType: Durable + monitor: + agent: prometheus.io/builtin + prometheus: + exporter: + port: 56790 + serviceMonitor: + labels: + release: prometheus + interval: 10s + deletionPolicy: WipeOut +``` + +Here, + +- `spec.monitor.agent: prometheus.io/builtin` specifies that we are going to monitor this server using builtin Prometheus scraper. +- `spec.monitor.prometheus.exporter.port: 56790` specifies the port where the exporter is running. + +Let's create the Kafka crd we have shown above. + +```bash +$ kubectl apply -f https://github.com/kubedb/docs/raw/{{< param "info.version" >}}/docs/examples/kafka/monitoring/kafka-builtin-prom.yaml +kafka.kubedb.com/kafka-builtin-prom created +``` + +Now, wait for the cluster to go into `Ready` state. + +```bash +NAME TYPE VERSION STATUS AGE +kafka-builtin-prom kubedb.com/v1 3.6.1 Ready 31s +``` + +KubeDB will create a separate stats service with name `{Kafka crd name}-stats` for monitoring purpose. + +```bash +$ kubectl get svc -n demo --selector="app.kubernetes.io/instance=kafka-builtin-prom" +NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE +kafka-builtin-prom-pods ClusterIP None 9092/TCP,9093/TCP,29092/TCP 52s +kafka-builtin-prom-stats ClusterIP 10.96.222.96 56790/TCP 52s +``` + +Here, `kafka-builtin-prom-stats` service has been created for monitoring purpose. Let's describe the service. + +```bash +$ kubectl describe svc -n kafka-demo builtin-prom-stats +Name: kafka-builtin-prom-stats +Namespace: demo +Labels: app.kubernetes.io/component=database + app.kubernetes.io/instance=kafka-builtin-prom + app.kubernetes.io/managed-by=kubedb.com + app.kubernetes.io/name=kafkas.kubedb.com + kubedb.com/role=stats +Annotations: monitoring.appscode.com/agent: prometheus.io/builtin + prometheus.io/path: /metrics + prometheus.io/port: 56790 + prometheus.io/scrape: true +Selector: app.kubernetes.io/instance=kafka-builtin-prom,app.kubernetes.io/managed-by=kubedb.com,app.kubernetes.io/name=kafkas.kubedb.com +Type: ClusterIP +IP Family Policy: SingleStack +IP Families: IPv4 +IP: 10.96.222.96 +IPs: 10.96.222.96 +Port: metrics 56790/TCP +TargetPort: metrics/TCP +Endpoints: 10.244.0.31:56790,10.244.0.33:56790 +Session Affinity: None +Events: +``` + +You can see that the service contains following annotations. + +```bash +prometheus.io/path: /metrics +prometheus.io/port: 56790 +prometheus.io/scrape: true +``` + +The Prometheus server will discover the service endpoint using these specifications and will scrape metrics from the exporter. + +## Configure Prometheus Server + +Now, we have to configure a Prometheus scraping job to scrape the metrics using this service. We are going to configure scraping job similar to this [kubernetes-service-endpoints](https://github.com/appscode/third-party-tools/tree/master/monitoring/prometheus/builtin#kubernetes-service-endpoints) job that scrapes metrics from endpoints of a service. + +Let's configure a Prometheus scraping job to collect metrics from this service. + +```yaml +- job_name: 'kubedb-databases' + honor_labels: true + scheme: http + kubernetes_sd_configs: + - role: endpoints + # by default Prometheus server select all Kubernetes services as possible target. + # relabel_config is used to filter only desired endpoints + relabel_configs: + # keep only those services that has "prometheus.io/scrape","prometheus.io/path" and "prometheus.io/port" anootations + - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_scrape, __meta_kubernetes_service_annotation_prometheus_io_port] + separator: ; + regex: true;(.*) + action: keep + # currently KubeDB supported databases uses only "http" scheme to export metrics. so, drop any service that uses "https" scheme. + - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_scheme] + action: drop + regex: https + # only keep the stats services created by KubeDB for monitoring purpose which has "-stats" suffix + - source_labels: [__meta_kubernetes_service_name] + separator: ; + regex: (.*-stats) + action: keep + # service created by KubeDB will have "app.kubernetes.io/name" and "app.kubernetes.io/instance" annotations. keep only those services that have these annotations. + - source_labels: [__meta_kubernetes_service_label_app_kubernetes_io_name] + separator: ; + regex: (.*) + action: keep + # read the metric path from "prometheus.io/path: " annotation + - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_path] + action: replace + target_label: __metrics_path__ + regex: (.+) + # read the port from "prometheus.io/port: " annotation and update scraping address accordingly + - source_labels: [__address__, __meta_kubernetes_service_annotation_prometheus_io_port] + action: replace + target_label: __address__ + regex: ([^:]+)(?::\d+)?;(\d+) + replacement: $1:$2 + # add service namespace as label to the scraped metrics + - source_labels: [__meta_kubernetes_namespace] + separator: ; + regex: (.*) + target_label: namespace + replacement: $1 + action: replace + # add service name as a label to the scraped metrics + - source_labels: [__meta_kubernetes_service_name] + separator: ; + regex: (.*) + target_label: service + replacement: $1 + action: replace + # add stats service's labels to the scraped metrics + - action: labelmap + regex: __meta_kubernetes_service_label_(.+) +``` + +### Configure Existing Prometheus Server + +If you already have a Prometheus server running, you have to add above scraping job in the `ConfigMap` used to configure the Prometheus server. Then, you have to restart it for the updated configuration to take effect. + +>If you don't use a persistent volume for Prometheus storage, you will lose your previously scraped data on restart. + +### Deploy New Prometheus Server + +If you don't have any existing Prometheus server running, you have to deploy one. In this section, we are going to deploy a Prometheus server in `monitoring` namespace to collect metrics using this stats service. + +**Create ConfigMap:** + +At first, create a ConfigMap with the scraping configuration. Bellow, the YAML of ConfigMap that we are going to create in this tutorial. + +```yaml +apiVersion: v1 +kind: ConfigMap +metadata: + name: prometheus-config + labels: + app: prometheus-demo + namespace: monitoring +data: + prometheus.yml: |- + global: + scrape_interval: 5s + evaluation_interval: 5s + scrape_configs: + - job_name: 'kubedb-databases' + honor_labels: true + scheme: http + kubernetes_sd_configs: + - role: endpoints + # by default Prometheus server select all Kubernetes services as possible target. + # relabel_config is used to filter only desired endpoints + relabel_configs: + # keep only those services that has "prometheus.io/scrape","prometheus.io/path" and "prometheus.io/port" anootations + - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_scrape, __meta_kubernetes_service_annotation_prometheus_io_port] + separator: ; + regex: true;(.*) + action: keep + # currently KubeDB supported databases uses only "http" scheme to export metrics. so, drop any service that uses "https" scheme. + - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_scheme] + action: drop + regex: https + # only keep the stats services created by KubeDB for monitoring purpose which has "-stats" suffix + - source_labels: [__meta_kubernetes_service_name] + separator: ; + regex: (.*-stats) + action: keep + # service created by KubeDB will have "app.kubernetes.io/name" and "app.kubernetes.io/instance" annotations. keep only those services that have these annotations. + - source_labels: [__meta_kubernetes_service_label_app_kubernetes_io_name] + separator: ; + regex: (.*) + action: keep + # read the metric path from "prometheus.io/path: " annotation + - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_path] + action: replace + target_label: __metrics_path__ + regex: (.+) + # read the port from "prometheus.io/port: " annotation and update scraping address accordingly + - source_labels: [__address__, __meta_kubernetes_service_annotation_prometheus_io_port] + action: replace + target_label: __address__ + regex: ([^:]+)(?::\d+)?;(\d+) + replacement: $1:$2 + # add service namespace as label to the scraped metrics + - source_labels: [__meta_kubernetes_namespace] + separator: ; + regex: (.*) + target_label: namespace + replacement: $1 + action: replace + # add service name as a label to the scraped metrics + - source_labels: [__meta_kubernetes_service_name] + separator: ; + regex: (.*) + target_label: service + replacement: $1 + action: replace + # add stats service's labels to the scraped metrics + - action: labelmap + regex: __meta_kubernetes_service_label_(.+) +``` + +Let's create above `ConfigMap`, + +```bash +$ kubectl apply -f https://github.com/kubedb/docs/raw/{{< param "info.version" >}}/docs/examples/monitoring/builtin-prometheus/prom-config.yaml +configmap/prometheus-config created +``` + +**Create RBAC:** + +If you are using an RBAC enabled cluster, you have to give necessary RBAC permissions for Prometheus. Let's create necessary RBAC stuffs for Prometheus, + +```bash +$ kubectl apply -f https://github.com/appscode/third-party-tools/raw/master/monitoring/prometheus/builtin/artifacts/rbac.yaml +clusterrole.rbac.authorization.k8s.io/prometheus created +serviceaccount/prometheus created +clusterrolebinding.rbac.authorization.k8s.io/prometheus created +``` + +>YAML for the RBAC resources created above can be found [here](https://github.com/appscode/third-party-tools/blob/master/monitoring/prometheus/builtin/artifacts/rbac.yaml). + +**Deploy Prometheus:** + +Now, we are ready to deploy Prometheus server. We are going to use following [deployment](https://github.com/appscode/third-party-tools/blob/master/monitoring/prometheus/builtin/artifacts/deployment.yaml) to deploy Prometheus server. + +Let's deploy the Prometheus server. + +```bash +$ kubectl apply -f https://github.com/appscode/third-party-tools/raw/master/monitoring/prometheus/builtin/artifacts/deployment.yaml +deployment.apps/prometheus created +``` + +### Verify Monitoring Metrics + +Prometheus server is listening to port `9090`. We are going to use [port forwarding](https://kubernetes.io/docs/tasks/access-application-cluster/port-forward-access-application-cluster/) to access Prometheus dashboard. + +At first, let's check if the Prometheus pod is in `Running` state. + +```bash +$ kubectl get pod -n monitoring -l=app=prometheus +NAME READY STATUS RESTARTS AGE +prometheus-7bd56c6865-8dlpv 1/1 Running 0 28s +``` + +Now, run following command on a separate terminal to forward 9090 port of `prometheus-7bd56c6865-8dlpv` pod, + +```bash +$ kubectl port-forward -n monitoring prometheus-7bd56c6865-8dlpv 9090 +Forwarding from 127.0.0.1:9090 -> 9090 +Forwarding from [::1]:9090 -> 9090 +``` + +Now, we can access the dashboard at `localhost:9090`. Open [http://localhost:9090](http://localhost:9090) in your browser. You should see the endpoint of `kafka-builtin-prom-stats` service as one of the targets. + +

+  Prometheus Target +

+ +Check the labels marked with red rectangle. These labels confirm that the metrics are coming from `Kafka` cluster `kafka-builtin-prom` through stats service `kafka-builtin-prom-stats`. + +Now, you can view the collected metrics and create a graph from homepage of this Prometheus dashboard. You can also use this Prometheus server as data source for [Grafana](https://grafana.com/) and create beautiful dashboard with collected metrics. + +## Cleaning up + +To cleanup the Kubernetes resources created by this tutorial, run following commands + +```bash +kubectl delete -n demo kafka/kafka-builtin-prom + +kubectl delete -n monitoring deployment.apps/prometheus + +kubectl delete -n monitoring clusterrole.rbac.authorization.k8s.io/prometheus +kubectl delete -n monitoring serviceaccount/prometheus +kubectl delete -n monitoring clusterrolebinding.rbac.authorization.k8s.io/prometheus + +kubectl delete ns demo +kubectl delete ns monitoring +``` + +## Next Steps + +- Learn how to configure [Kafka Topology](/docs/guides/kafka/clustering/topology-cluster/index.md). +- Monitor your Kafka database with KubeDB using [`out-of-the-box` Prometheus operator](/docs/guides/kafka/monitoring/using-prometheus-operator.md). +- Want to hack on KubeDB? Check our [contribution guidelines](/docs/CONTRIBUTING.md). diff --git a/docs/guides/kafka/restproxy/_index.md b/docs/guides/kafka/restproxy/_index.md new file mode 100644 index 0000000000..b02df6b52b --- /dev/null +++ b/docs/guides/kafka/restproxy/_index.md @@ -0,0 +1,10 @@ +--- +title: Rest Proxy +menu: + docs_{{ .version }}: + identifier: kf-rest-proxy-guides + name: RestProxy + parent: kf-kafka-guides + weight: 25 +menu_name: docs_{{ .version }} +--- diff --git a/docs/guides/kafka/restproxy/overview.md b/docs/guides/kafka/restproxy/overview.md new file mode 100644 index 0000000000..771688af12 --- /dev/null +++ b/docs/guides/kafka/restproxy/overview.md @@ -0,0 +1,408 @@ +--- +title: Rest Proxy Overview +menu: + docs_{{ .version }}: + identifier: kf-rest-proxy-guides-overview + name: Overview + parent: kf-schema-registry-guides + weight: 10 +menu_name: docs_{{ .version }} +section_menu_id: guides +--- + +> New to KubeDB? Please start [here](/docs/README.md). + +# RestProxy QuickStart + +This tutorial will show you how to use KubeDB to run a [Rest Proxy](https://www.karapace.io/quickstart). + +

+  lifecycle +

+ +## Before You Begin + +At first, you need to have a Kubernetes cluster, and the `kubectl` command-line tool must be configured to communicate with your cluster. If you do not already have a cluster, you can create one by using [kind](https://kind.sigs.k8s.io/docs/user/quick-start/). + +Now, install the KubeDB operator in your cluster following the steps [here](/docs/setup/install/_index.md). + +To keep things isolated, this tutorial uses a separate namespace called `demo` throughout this tutorial. + +```bash +$ kubectl create namespace demo +namespace/demo created + +$ kubectl get namespace +NAME STATUS AGE +demo Active 9s +``` + +> Note: YAML files used in this tutorial are stored in [examples/kafka/restproxy/](https://github.com/kubedb/docs/tree/{{< param "info.version" >}}/docs/examples/kafka/restproxy) folder in GitHub repository [kubedb/docs](https://github.com/kubedb/docs). + +> We have designed this tutorial to demonstrate a production setup of KubeDB managed Schema Registry. If you just want to try out KubeDB, you can bypass some safety features following the tips [here](/docs/guides/kafka/quickstart/connectcluster/index.md#tips-for-testing). + +## Find Available RestProxy Versions + +When you install the KubeDB operator, it registers a CRD named [SchemaRegistryVersion](/docs/guides/kafka/concepts/schemaregistryversion.md). RestProxy uses SchemaRegistryVersions which distribution is `Aiven` to create a RestProxy instance. The installation process comes with a set of tested SchemaRegistryVersion objects. Let's check available SchemaRegistryVersions by, + +```bash +$ kubectl get ksrversion + +NAME VERSION DB_IMAGE DEPRECATED AGE +NAME VERSION DISTRIBUTION REGISTRY_IMAGE DEPRECATED AGE +2.5.11.final 2.5.11 Apicurio apicurio/apicurio-registry-kafkasql:2.5.11.Final 3d +3.15.0 3.15.0 Aiven ghcr.io/aiven-open/karapace:3.15.0 3d +``` + +> **Note**: Currently Schema is supported only for Apicurio distribution. Use distribution `Apicurio` to create Schema Registry. + +Notice the `DEPRECATED` column. Here, `true` means that this SchemaRegistryVersion is deprecated for the current KubeDB version. KubeDB will not work for deprecated KafkaVersion. You can also use the short from `ksrversion` to check available SchemaRegistryVersion. + +In this tutorial, we will use `3.15.0` SchemaRegistryVersion CR to create a Kafka Rest Proxy. + +## Create a Kafka RestProxy + +The KubeDB operator implements a RestProxy CRD to define the specification of SchemaRegistry. + +The RestProxy instance used for this tutorial: + +```yaml +apiVersion: kafka.kubedb.com/v1alpha1 +kind: RestProxy +metadata: + name: restproxy-quickstart + namespace: demo +spec: + version: 3.15.0 + replicas: 2 + kafkaRef: + name: kafka-quickstart + namespace: demo + deletionPolicy: WipeOut +``` + +Here, + +- `spec.version` - is the name of the SchemaRegistryVersion CR. Here, a SchemaRegistry of version `3.15.0` will be created. +- `spec.replicas` - specifies the number of rest proxy instances to run. Here, the RestProxy will run with 2 replicas. +- `spec.kafkaRef` specifies the Kafka instance that the RestProxy will connect to. Here, the RestProxy will connect to the Kafka instance named `kafka-quickstart` in the `demo` namespace. It is an appbinding reference of the Kafka instance. +- `spec.deletionPolicy` specifies what KubeDB should do when a user try to delete RestProxy CR. Deletion policy `WipeOut` will delete all the instances, secret when the RestProxy CR is deleted. + +Before create RestProxy, you have to deploy a `Kafka` cluster first. To deploy kafka cluster, follow the [Kafka Quickstart](/docs/guides/kafka/quickstart/kafka/index.md) guide. Let's assume `kafka-quickstart` is already deployed using KubeDB. +Let's create the RestProxy CR that is shown above: + +```bash +$ kubectl apply -f https://github.com/kubedb/docs/raw/{{< param "info.version" >}}/docs/examples/kafka/restproxy/restproxy-quickstart.yaml +restproxy.kafka.kubedb.com/restproxy-quickstart created +``` + +The RestProxy's `STATUS` will go from `Provisioning` to `Ready` state within few minutes. Once the `STATUS` is `Ready`, you are ready to use the RestProxy. + +```bash +$ kubectl get restproxy -n demo -w +NAME TYPE VERSION STATUS AGE +restproxy-quickstart kafka.kubedb.com/v1alpha1 3.6.1 Provisioning 2s +restproxy-quickstart kafka.kubedb.com/v1alpha1 3.6.1 Provisioning 4s +. +. +restproxy-quickstart kafka.kubedb.com/v1alpha1 3.6.1 Ready 112s +``` + +Describe the `RestProxy` object to observe the progress if something goes wrong or the status is not changing for a long period of time: + +```bash +$ kubectl describe restproxy -n demo restproxy-quickstart +Name: restproxy-quickstart +Namespace: demo +Labels: +Annotations: +API Version: kafka.kubedb.com/v1alpha1 +Kind: RestProxy +Metadata: + Creation Timestamp: 2024-09-02T06:27:36Z + Finalizers: + kafka.kubedb.com/finalizer + Generation: 1 + Resource Version: 179508 + UID: 5defcf67-015d-4f15-a8ef-661717258f76 +Spec: + Deletion Policy: WipeOut + Health Checker: + Failure Threshold: 3 + Period Seconds: 10 + Timeout Seconds: 10 + Kafka Ref: + Name: kafka-quickstart + Namespace: demo + Pod Template: + Controller: + Metadata: + Spec: + Containers: + Name: rest-proxy + Resources: + Limits: + Memory: 1Gi + Requests: + Cpu: 500m + Memory: 1Gi + Security Context: + Allow Privilege Escalation: false + Capabilities: + Drop: + ALL + Run As Non Root: true + Run As User: 1001 + Seccomp Profile: + Type: RuntimeDefault + Pod Placement Policy: + Name: default + Security Context: + Fs Group: 1001 + Replicas: 2 + Version: 3.15.0 +Status: + Conditions: + Last Transition Time: 2024-09-02T06:27:36Z + Message: The KubeDB operator has started the provisioning of RestProxy: demo/restproxy-quickstart + Observed Generation: 1 + Reason: RestProxyProvisioningStartedSuccessfully + Status: True + Type: ProvisioningStarted + Last Transition Time: 2024-09-02T06:28:17Z + Message: All desired replicas are ready. + Observed Generation: 1 + Reason: AllReplicasReady + Status: True + Type: ReplicaReady + Last Transition Time: 2024-09-02T06:28:29Z + Message: The RestProxy: demo/restproxy-quickstart is accepting client requests + Observed Generation: 1 + Reason: DatabaseAcceptingConnectionRequest + Status: True + Type: AcceptingConnection + Last Transition Time: 2024-09-02T06:28:29Z + Message: The RestProxy: demo/restproxy-quickstart is ready. + Observed Generation: 1 + Reason: ReadinessCheckSucceeded + Status: True + Type: Ready + Last Transition Time: 2024-09-02T06:28:30Z + Message: The RestProxy: demo/restproxy-quickstart is successfully provisioned. + Observed Generation: 1 + Reason: DatabaseSuccessfullyProvisioned + Status: True + Type: Provisioned + Phase: Ready +Events: +``` + +### KubeDB Operator Generated Resources + +On deployment of a RestProxy CR, the operator creates the following resources: + +```bash +$ kubectl get all,secret,petset -n demo -l 'app.kubernetes.io/instance=restproxy-quickstart' +NAME READY STATUS RESTARTS AGE +pod/restproxy-quickstart-0 1/1 Running 0 117s +pod/restproxy-quickstart-1 1/1 Running 0 79s + +NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE +service/restproxy-quickstart ClusterIP 10.96.117.46 8082/TCP 119s +service/restproxy-quickstart-pods ClusterIP None 8082/TCP 119s + +NAME TYPE DATA AGE +secret/restproxy-quickstart-config Opaque 1 119s + +NAME AGE +petset.apps.k8s.appscode.com/restproxy-quickstart 117s +``` + +- `PetSet` - a PetSet named after the RestProxy instance. +- `Services` - For a RestProxy instance headless service is created with name `{RestProxy-name}-{pods}` and a primary service created with name `{RestProxy-name}`. +- `Secrets` - default configuration secrets are generated for RestProxy. + - `{RestProxy-Name}-config` - the default configuration secret created by the operator. + +### Accessing Kafka using Rest Proxy + +You can access `Kafka` using the REST API. The RestProxy REST API is available at port `8082` of the Rest Proxy service. + +To access the RestProxy REST API, you can use `kubectl port-forward` command to forward the port to your local machine. + +```bash +$ kubectl port-forward svc/restproxy-quickstart 8082:8082 -n demo +Forwarding from 127.0.0.1:8082 -> 8082 +Forwarding from [::1]:8082 -> 8082 +``` + +In another terminal, you can use `curl` to list topics, produce and consume messages from the Kafka cluster. + +List topics: + +```bash +$ curl localhost:8082/topics | jq +[ + "order_notification", + "kafka-health", + "__consumer_offsets", + "kafkasql-journal" +] + +``` + +#### Produce a message to a topic `order_notification`(replace `order_notification` with your topic name): + +> Note: The topic must be created in the Kafka cluster before producing messages. + +```bash +curl -X POST http://localhost:8082/topics/order_notification \ + -H "Content-Type: application/vnd.kafka.json.v2+json" \ + -d '{ + "records": [ + {"value": {"orderId": "12345", "status": "Order Placed", "customerName": "Alice Johnson", "totalAmount": 150.75, "timestamp": "2024-08-30T12:34:56Z"}}, + {"value": {"orderId": "12346", "status": "Shipped", "customerName": "Bob Smith", "totalAmount": 249.99, "timestamp": "2024-08-30T12:45:12Z"}}, + {"value": {"orderId": "12347", "status": "Delivered", "customerName": "Charlie Brown", "totalAmount": 89.50, "timestamp": "2024-08-30T13:00:22Z"}} + ] + }' | jq + +{ + "key_schema_id": null, + "offsets": [ + { + "offset": 0, + "partition": 0 + }, + { + "offset": 1, + "partition": 0 + }, + { + "offset": 2, + "partition": 0 + } + ], + "value_schema_id": null +} +``` +#### Consume messages from a topic `order_notification`(replace `order_notification` with your topic name): + +To consume messages from a Kafka topic using the Kafka REST Proxy, you'll need to perform the following steps: + +Create a Consumer Instance + +```bash +$ curl -X POST http://localhost:8082/consumers/order_consumer \ + -H "Content-Type: application/vnd.kafka.v2+json" \ + -d '{ + "name": "order_consumer_instance", + "format": "json", + "auto.offset.reset": "earliest" + }' | jq + +{ + "base_uri": "http://restproxy-quickstart-0:8082/consumers/order_consumer/instances/order_consumer_instance", + "instance_id": "order_consumer_instance" +} +``` + +Subscribe the Consumer to a Topic + +```bash +$ curl -X POST http://localhost:8082/consumers/order_consumer/instances/order_consumer_instance/subscription \ + -H "Content-Type: application/vnd.kafka.v2+json" \ + -d '{ + "topics": ["order_notification"] + }' +``` + +Consume Messages + +```bash +$ curl -X GET http://localhost:8082/consumers/order_consumer/instances/order_consumer_instance/records \ + -H "Accept: application/vnd.kafka.json.v2+json" | jq + +[ + { + "key": null, + "offset": 0, + "partition": 0, + "timestamp": 1725259256610, + "topic": "order_notification", + "value": { + "customerName": "Alice Johnson", + "orderId": "12345", + "status": "Order Placed", + "timestamp": "2024-08-30T12:34:56Z", + "totalAmount": 150.75 + } + }, + { + "key": null, + "offset": 1, + "partition": 0, + "timestamp": 1725259256610, + "topic": "order_notification", + "value": { + "customerName": "Bob Smith", + "orderId": "12346", + "status": "Shipped", + "timestamp": "2024-08-30T12:45:12Z", + "totalAmount": 249.99 + } + }, + { + "key": null, + "offset": 2, + "partition": 0, + "timestamp": 1725259256610, + "topic": "order_notification", + "value": { + "customerName": "Charlie Brown", + "orderId": "12347", + "status": "Delivered", + "timestamp": "2024-08-30T13:00:22Z", + "totalAmount": 89.5 + } + } +] +``` + +Delete the Consumer Instance + +```bash +$ curl -X DELETE http://localhost:8082/consumers/order_consumer/instances/order_consumer_instance +``` + +You can also list brokers, describe topics and more using the Kafka RestProxy. + +## Cleaning up + +To clean up the Kubernetes resources created by this tutorial, run: + +```bash +$ kubectl patch -n demo restproxy restproxy-quickstart -p '{"spec":{"deletionPolicy":"WipeOut"}}' --type="merge" +restproxy.kafka.kubedb.com/restproxy-quickstart patched + +$ kubectl delete krp restproxy-quickstart -n demo +restproxy.kafka.kubedb.com "restproxy-quickstart" deleted + +$ kubectl delete kafka kafka-quickstart -n demo +kafka.kubedb.com "kafka-quickstart" deleted + +$ kubectl delete namespace demo +namespace "demo" deleted +``` + +## Tips for Testing + +If you are just testing some basic functionalities, you might want to avoid additional hassles due to some safety features that are great for the production environment. You can follow these tips to avoid them. + +1 **Use `deletionPolicy: Delete`**. It is nice to be able to resume the cluster from the previous one. So, we preserve auth `Secrets`. If you don't want to resume the cluster, you can just use `spec.deletionPolicy: WipeOut`. It will clean up every resource that was created with the SchemaRegistry CR. For more details, please visit [here](/docs/guides/kafka/concepts/schemaregistry.md#specdeletionpolicy). + +## Next Steps + +- [Quickstart Kafka](/docs/guides/kafka/quickstart/kafka/index.md) with KubeDB Operator. +- [Quickstart ConnectCluster](/docs/guides/kafka/quickstart/connectcluster/index.md) with KubeDB Operator. +- Use [kubedb cli](/docs/guides/kafka/cli/cli.md) to manage databases like kubectl for Kubernetes. +- Detail concepts of [ConnectCluster object](/docs/guides/kafka/concepts/connectcluster.md). +- Want to hack on KubeDB? Check our [contribution guidelines](/docs/CONTRIBUTING.md). diff --git a/docs/guides/kafka/schemaregistry/_index.md b/docs/guides/kafka/schemaregistry/_index.md new file mode 100644 index 0000000000..31f884753c --- /dev/null +++ b/docs/guides/kafka/schemaregistry/_index.md @@ -0,0 +1,10 @@ +--- +title: Schema Registry +menu: + docs_{{ .version }}: + identifier: kf-schema-registry-guides + name: SchemaRegistry + parent: kf-kafka-guides + weight: 25 +menu_name: docs_{{ .version }} +--- diff --git a/docs/guides/kafka/schemaregistry/overview.md b/docs/guides/kafka/schemaregistry/overview.md new file mode 100644 index 0000000000..b9d0304696 --- /dev/null +++ b/docs/guides/kafka/schemaregistry/overview.md @@ -0,0 +1,351 @@ +--- +title: Schema Registry Overview +menu: + docs_{{ .version }}: + identifier: kf-schema-registry-guides-overview + name: Overview + parent: kf-schema-registry-guides + weight: 10 +menu_name: docs_{{ .version }} +section_menu_id: guides +--- + +> New to KubeDB? Please start [here](/docs/README.md). + +# ConnectCluster QuickStart + +This tutorial will show you how to use KubeDB to run a [Schema Registry](https://www.apicur.io/registry/). + +

+  lifecycle +

+ +## Before You Begin + +At first, you need to have a Kubernetes cluster, and the `kubectl` command-line tool must be configured to communicate with your cluster. If you do not already have a cluster, you can create one by using [kind](https://kind.sigs.k8s.io/docs/user/quick-start/). + +Now, install the KubeDB operator in your cluster following the steps [here](/docs/setup/install/_index.md). + +To keep things isolated, this tutorial uses a separate namespace called `demo` throughout this tutorial. + +```bash +$ kubectl create namespace demo +namespace/demo created + +$ kubectl get namespace +NAME STATUS AGE +demo Active 9s +``` + +> Note: YAML files used in this tutorial are stored in [examples/kafka/schemaregistry/](https://github.com/kubedb/docs/tree/{{< param "info.version" >}}/docs/examples/kafka/schemaregistry) folder in GitHub repository [kubedb/docs](https://github.com/kubedb/docs). + +> We have designed this tutorial to demonstrate a production setup of KubeDB managed Schema Registry. If you just want to try out KubeDB, you can bypass some safety features following the tips [here](/docs/guides/kafka/quickstart/connectcluster/index.md#tips-for-testing). + +## Find Available SchemaRegistry Versions + +When you install the KubeDB operator, it registers a CRD named [SchemaRegistryVersion](/docs/guides/kafka/concepts/schemaregistryversion.md). The installation process comes with a set of tested SchemaRegistryVersion objects. Let's check available SchemaRegistryVersions by, + +```bash +$ kubectl get ksrversion + +NAME VERSION DB_IMAGE DEPRECATED AGE +NAME VERSION DISTRIBUTION REGISTRY_IMAGE DEPRECATED AGE +2.5.11.final 2.5.11 Apicurio apicurio/apicurio-registry-kafkasql:2.5.11.Final 3d +3.15.0 3.15.0 Aiven ghcr.io/aiven-open/karapace:3.15.0 3d +``` + +> **Note**: Currently Schema Registry is supported only for Apicurio distribution. Use distribution `Apicurio` to create Schema Registry. + +Notice the `DEPRECATED` column. Here, `true` means that this SchemaRegistryVersion is deprecated for the current KubeDB version. KubeDB will not work for deprecated KafkaVersion. You can also use the short from `ksrversion` to check available SchemaRegistryVersion. + +In this tutorial, we will use `2.5.11.final` SchemaRegistryVersion CR to create a Kafka Schema Registry. + +## Create a Kafka Schema Registry + +The KubeDB operator implements a SchemaRegistry CRD to define the specification of SchemaRegistry. + +The SchemaRegistry instance used for this tutorial: + +```yaml +apiVersion: kafka.kubedb.com/v1alpha1 +kind: SchemaRegistry +metadata: + name: schemaregistry-quickstart + namespace: demo +spec: + version: 2.5.11.final + replicas: 2 + kafkaRef: + name: kafka-quickstart + namespace: demo + deletionPolicy: WipeOut +``` + +Here, + +- `spec.version` - is the name of the SchemaRegistryVersion CR. Here, a SchemaRegistry of version `2.5.11.final` will be created. +- `spec.replicas` - specifies the number of schema registry instances to run. Here, the SchemaRegistry will run with 2 replicas. +- `spec.kafkaRef` specifies the Kafka instance that the SchemaRegistry will store its schema. Here, the SchemaRegistry will store schema to the Kafka instance named `kafka-quickstart` in the `demo` namespace. It is an appbinding reference of the Kafka instance. +- `spec.deletionPolicy` specifies what KubeDB should do when a user try to delete SchemaRegistry CR. Deletion policy `WipeOut` will delete all the instances, secret when the SchemaRegistry CR is deleted. + +## N.B: +1. If `spec.kafkaRef` is not provided, the SchemaRegistry will run in memory mode. SchemaRegistry will store schema to the memory. + +Before create SchemaRegistry, you have to deploy a `Kafka` cluster first. To deploy kafka cluster, follow the [Kafka Quickstart](/docs/guides/kafka/quickstart/kafka/index.md) guide. Let's assume `kafka-quickstart` is already deployed using KubeDB. +Let's create the SchemaRegistry CR that is shown above: + +```bash +$ kubectl apply -f https://github.com/kubedb/docs/raw/{{< param "info.version" >}}/docs/examples/kafka/schemaregistry/schemaregistry-apicurio.yaml +schemaregistry.kafka.kubedb.com/schemaregistry-quickstart created +``` + +The SchemaRegistry's `STATUS` will go from `Provisioning` to `Ready` state within few minutes. Once the `STATUS` is `Ready`, you are ready to use the SchemaRegistry. + +```bash +$ kubectl get schemaregistry -n demo -w +NAME TYPE VERSION STATUS AGE +schemaregistry-quickstart kafka.kubedb.com/v1alpha1 3.6.1 Provisioning 2s +schemaregistry-quickstart kafka.kubedb.com/v1alpha1 3.6.1 Provisioning 4s +. +. +schemaregistry-quickstart kafka.kubedb.com/v1alpha1 3.6.1 Ready 112s +``` + +Describe the `SchemaRegistry` object to observe the progress if something goes wrong or the status is not changing for a long period of time: + +```bash +$ kubectl describe schemaregistry -n demo schemaregistry-quickstart +Name: schemaregistry-quickstart +Namespace: demo +Labels: +Annotations: +API Version: kafka.kubedb.com/v1alpha1 +Kind: SchemaRegistry +Metadata: + Creation Timestamp: 2024-09-02T05:29:55Z + Finalizers: + kafka.kubedb.com/finalizer + Generation: 1 + Resource Version: 174971 + UID: 5a5f0c8f-778b-471f-973a-683004b26c78 +Spec: + Deletion Policy: WipeOut + Health Checker: + Failure Threshold: 3 + Period Seconds: 20 + Timeout Seconds: 10 + Kafka Ref: + Name: kafka-quickstart + Namespace: demo + Pod Template: + Controller: + Metadata: + Spec: + Containers: + Name: schema-registry + Resources: + Limits: + Memory: 1Gi + Requests: + Cpu: 500m + Memory: 1Gi + Security Context: + Allow Privilege Escalation: false + Capabilities: + Drop: + ALL + Run As Non Root: true + Run As User: 1001 + Seccomp Profile: + Type: RuntimeDefault + Pod Placement Policy: + Name: default + Security Context: + Fs Group: 1001 + Replicas: 2 + Version: 2.5.11.final +Status: + Conditions: + Last Transition Time: 2024-09-02T05:29:55Z + Message: The KubeDB operator has started the provisioning of SchemaRegistry: demo/schemaregistry-quickstart + Observed Generation: 1 + Reason: SchemaRegistryProvisioningStartedSuccessfully + Status: True + Type: ProvisioningStarted + Last Transition Time: 2024-09-02T05:30:47Z + Message: All desired replicas are ready. + Observed Generation: 1 + Reason: AllReplicasReady + Status: True + Type: ReplicaReady + Last Transition Time: 2024-09-02T05:31:09Z + Message: The SchemaRegistry: demo/schemaregistry-quickstart is accepting client requests + Observed Generation: 1 + Reason: DatabaseAcceptingConnectionRequest + Status: True + Type: AcceptingConnection + Last Transition Time: 2024-09-02T05:31:09Z + Message: The SchemaRegistry: demo/schemaregistry-quickstart is ready. + Observed Generation: 1 + Reason: ReadinessCheckSucceeded + Status: True + Type: Ready + Last Transition Time: 2024-09-02T05:31:11Z + Message: The SchemaRegistry: demo/schemaregistry-quickstart is successfully provisioned. + Observed Generation: 1 + Reason: DatabaseSuccessfullyProvisioned + Status: True + Type: Provisioned + Phase: Ready +Events: +``` + +### KubeDB Operator Generated Resources + +On deployment of a SchemaRegistry CR, the operator creates the following resources: + +```bash +$ kubectl get all,secret,petset -n demo -l 'app.kubernetes.io/instance=schemaregistry-quickstart' +NAME READY STATUS RESTARTS AGE +pod/schemaregistry-quickstart-0 1/1 Running 0 4m14s +pod/schemaregistry-quickstart-1 1/1 Running 0 3m28s + +NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE +service/schemaregistry-quickstart ClusterIP 10.96.187.98 8080/TCP 4m17s +service/schemaregistry-quickstart-pods ClusterIP None 8080/TCP 4m17s + +NAME TYPE DATA AGE +secret/schemaregistry-quickstart-config Opaque 1 4m17s + +NAME AGE +petset.apps.k8s.appscode.com/schemaregistry-quickstart 4m14s +``` + +- `PetSet` - a PetSet named after the SchemaRegistry instance. +- `Services` - For a SchemaRegistry instance headless service is created with name `{SchemaRegistry-name}-{pods}` and a primary service created with name `{SchemaRegistry-name}`. +- `Secrets` - default configuration secrets are generated for SchemaRegistry. + - `{SchemaRegistry-Name}-config` - the default configuration secret created by the operator. + +### Accessing Schema Registry(Rest API) + +You can access the Schema Registry using the REST API. The Schema Registry REST API is available at port `8080` of the Schema Registry service. + +To access the Schema Registry REST API, you can use `kubectl port-forward` command to forward the port to your local machine. + +```bash +$ kubectl port-forward service/schemaregistry-quickstart 8080:8080 -n demo +Forwarding from 127.0.0.1:8080 -> 8080 +Forwarding from [::1]:8080 -> 8080 +``` + +In another terminal, you can use `curl` to get, create or update schema using the Schema Registry REST API. + +Create a new schema with the following command: + +```bash +$ curl -X POST -H "Content-Type: application/json; artifactType=AVRO" -H "X-Registry-ArtifactId: share-price" \ + --data '{"type":"record","name":"price","namespace":"com.example", \ + "fields":[{"name":"symbol","type":"string"},{"name":"price","type":"string"}]}' \ + localhost:8080/apis/registry/v2/groups/quickstart-group/artifacts | jq + +{ + "createdBy": "", + "createdOn": "2024-09-02T05:53:03+0000", + "modifiedBy": "", + "modifiedOn": "2024-09-02T05:53:03+0000", + "id": "share-price", + "version": "1", + "type": "AVRO", + "globalId": 2, + "state": "ENABLED", + "groupId": "quickstart-group", + "contentId": 2, + "references": [] +} +``` + +Get all the groups: + +```bash +$ curl localhost:8080/apis/registry/v2/groups | jq . +{ + "groups": [ + { + "id": "quickstart-group", + "createdOn": "2024-09-02T05:49:33+0000", + "createdBy": "", + "modifiedBy": "" + } + ], + "count": 1 +} +``` + +Get all the artifacts in the group `quickstart-group`: + +```bash +$ curl localhost:8080/apis/registry/v2/groups/quickstart-group/artifacts | jq +{ + "artifacts": [ + { + "id": "share-price", + "createdOn": "2024-09-02T05:53:03+0000", + "createdBy": "", + "type": "AVRO", + "state": "ENABLED", + "modifiedOn": "2024-09-02T05:53:03+0000", + "modifiedBy": "", + "groupId": "quickstart-group" + } + ], + "count": 1 +} +``` + +### Accessing Schema Registry(UI) + +You can also use the Schema Registry UI to interact with the Schema Registry. The Schema Registry UI is available at port `8080` of the Schema Registry service. + +Use `http://localhost:8080/ui/artifacts` to access the Schema Registry UI. + +You will see the following screen: + +

+ +From the UI, you can create, update, delete, and view the schema. Also add compatibility level, view the schema history, etc. + +## Use Schema Registry with Kafka + + + +## Cleaning up + +To clean up the Kubernetes resources created by this tutorial, run: + +```bash +$ kubectl patch -n demo schemaregistry schemaregistry-quickstart -p '{"spec":{"deletionPolicy":"WipeOut"}}' --type="merge" +schemaregistry.kafka.kubedb.com/schemaregistry-quickstart patched + +$ kubectl delete ksr schemaregistry-quickstart -n demo +schemaregistry.kafka.kubedb.com "schemaregistry-quickstart" deleted + +$ kubectl delete kafka kafka-quickstart -n demo +kafka.kubedb.com "kafka-quickstart" deleted + +$ kubectl delete namespace demo +namespace "demo" deleted +``` + +## Tips for Testing + +If you are just testing some basic functionalities, you might want to avoid additional hassles due to some safety features that are great for the production environment. You can follow these tips to avoid them. + +1 **Use `deletionPolicy: Delete`**. It is nice to be able to resume the cluster from the previous one. So, we preserve auth `Secrets`. If you don't want to resume the cluster, you can just use `spec.deletionPolicy: WipeOut`. It will clean up every resource that was created with the SchemaRegistry CR. For more details, please visit [here](/docs/guides/kafka/concepts/schemaregistry.md#specdeletionpolicy). + +## Next Steps + +- [Quickstart Kafka](/docs/guides/kafka/quickstart/kafka/index.md) with KubeDB Operator. +- [Quickstart ConnectCluster](/docs/guides/kafka/quickstart/connectcluster/index.md) with KubeDB Operator. +- Use [kubedb cli](/docs/guides/kafka/cli/cli.md) to manage databases like kubectl for Kubernetes. +- Detail concepts of [ConnectCluster object](/docs/guides/kafka/concepts/connectcluster.md). +- Want to hack on KubeDB? 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