Notebooks: Rename "Notebook" to "Workbench" in web documentation

content/en/_index.html

@@ -50,10 +50,10 @@ <h4 class="section-head">What is Kubeflow?</h4>
           alt="Jupyter Logo"
         />
         <div class="card-body bg-primary-dark">
-          <h5 class="card-title text-white section-head">Notebooks</h5>
+          <h5 class="card-title text-white section-head">Workbenches</h5>
           <p class="card-text text-white">
-            Kubeflow includes services to create and manage interactive <a target="_blank" rel="noopener" href="/docs/components/notebooks/">Jupyter
-            notebooks</a>.  You can customize your notebook deployment and your compute resources to
+            Kubeflow includes services to create and manage interactive <a target="_blank" rel="noopener" href="/docs/components/notebooks/">Workbenches</a>.
+            You can customize your workbench deployment and your compute resources to
             suit your data science needs. Experiment with your workflows locally, then
             deploy them to a cloud when you're ready.
           </p>

content/en/docs/about/community.md

@@ -161,7 +161,7 @@ The following table outlines which components are maintained by each Working Gro
       </tr>
       <tr>
         <td>
-          <a href="https://github.com/kubeflow/kubeflow/tree/master/components/notebook-controller">Notebook Controller</a>
+          <a href="https://github.com/kubeflow/kubeflow/tree/master/components/notebook-controller">Workbench Controller</a>
         </td>
       </tr>
       <tr>

content/en/docs/components/central-dash/customizing-menu.md

@@ -40,7 +40,7 @@ data:
         {
           "type": "item",
           "link": "/jupyter/",
-          "text": "Notebooks",
+          "text": "Workbenches",
           "icon": "book"
         },
 .
@@ -98,7 +98,7 @@ data:
         {
           "type": "item",
           "link": "/jupyter/",
-          "text": "Notebooks",
+          "text": "Workbenches",
           "icon": "book"
         },
 .

content/en/docs/components/central-dash/overview.md

@@ -11,10 +11,10 @@ Your Kubeflow deployment includes a central dashboard that provides quick access
 to the Kubeflow components deployed in your cluster. The dashboard includes the
 following features:
 
-- Shortcuts to specific actions, a list of recent pipelines and notebooks, and
+- Shortcuts to specific actions, a list of recent pipelines and workbenches, and
   metrics, giving you an overview of your jobs and cluster in one view.
 - A housing for the UIs of the components running in the cluster, including
-  **Pipelines**, **Katib**, **Notebooks**, and more.
+  **Pipelines**, **Katib**, **Workbenches**, and more.
 - A [registration flow](/docs/components/central-dash/registration-flow/) that
   prompts new users to set up their namespace if necessary.
 
@@ -24,7 +24,7 @@ The Kubeflow UIs include the following:
 
 * **Home**: Home, the central hub to access recent resources, active
   experiments, and useful documentation.
-* **Notebook Servers**: To manage [Notebook servers](/docs/components/notebooks/).
+* **Workbench Servers**: To manage [Workbench servers](/docs/components/notebooks/).
 * **TensorBoards**: To manage TensorBoard servers.
 * **Models**: To manage deployed [KFServing models](/docs/components/kfserving/kfserving/).
 * **Volumes**: To manage the cluster's Volumes.
@@ -125,4 +125,4 @@ You can access Kubeflow via `kubectl` and port-forwarding as follows:
   option](/docs/components/multi-tenancy/) where you
   can set up a single namespace for a shared deployment or configure
   multi-tenancy for your Kubeflow deployment.
-* [Set up your Jupyter notebooks](/docs/components/notebooks/setup/) in Kubeflow.
+* [Set up your Workbenches](/docs/components/notebooks/setup/) in Kubeflow.

content/en/docs/components/central-dash/registration-flow.md

@@ -61,5 +61,5 @@ with your namespace available in the dropdown list at the top of the screen:
 
 ## Next steps
 
-* [Set up a Jupyter notebook](/docs/components/notebooks/setup/) in Kubeflow.
+* [Set up a Workbench](/docs/components/notebooks/setup/) in Kubeflow.
 * Read more about [multi-tenancy in Kubeflow](/docs/components/multi-tenancy/).

content/en/docs/components/multi-tenancy/getting-started.md

@@ -29,36 +29,36 @@ to which you have view or modify access.
   alt="Select active profile "
   class="mt-3 mb-3 border border-info rounded">
 
-This guide illustrates the user isolation functionality using the Jupyter
-notebooks service which is the first service in the system to have full
+This guide illustrates the user isolation functionality using the Kubeflow
+workbenches service which is the first service in the system to have full
 integration with the multi-user isolation functionality.
 
-After you select an active profile, the Notebooks Servers UI
-displays only the active notebook servers in the currently selected
-profile. All other notebook servers remain hidden from you. If you switch
-the active profile, the view switches the list of active notebooks
-appropriately. You can connect to any of the listed notebook servers and
-view and modify the existing Jupyter notebooks available in the server.
+After you select an active profile, the Workbenches Servers UI
+displays only the active workbench servers in the currently selected
+profile. All other workbench servers remain hidden from you. If you switch
+the active profile, the view switches the list of active workbenches
+appropriately. You can connect to any of the listed workbench servers and
+view and modify the existing Kubeflow workbenches available in the server.
 
-For example, the following image shows the list of notebook servers available
+For example, the following image shows the list of workbench servers available
 in a user's primary profile:
 
 <img src="/docs/images/notebooks-in-profile.png"
-  alt="List of notebooks in active profile "
+  alt="List of workbenches in active profile "
   class="mt-3 mb-3 border border-info rounded">
 
-When an unauthorized user accesses the notebooks in this profile, they see an
+When an unauthorized user accesses the workbenches in this profile, they see an
 error:
 
 <img src="/docs/images/notebook-access-error.png"
-  alt="Error listing notebooks in inacessible profile"
+  alt="Error listing workbenches in inacessible profile"
   class="mt-3 mb-3 border border-info rounded">
 
-When you create Jupyter notebook servers from the Notebooks Servers UI,
-the notebook pods are created in your active profile. If you don't have
+When you create workbench servers from the Workbenches Servers UI,
+the workbench pods are created in your active profile. If you don't have
 modify access to the active profile, you can only browse currently active
-notebook servers and access the existing notebooks but cannot create
-new notebook servers in that profile. You can create notebook
+workbench servers and access the existing workbenches but cannot create
+new workbench servers in that profile. You can create workbench
 servers in your primary profile which you have view and modify access to.
 
 ## Onboarding a new user
@@ -285,8 +285,8 @@ profiles in the system along with their contributors.
 
 
 The contributors have access to all the Kubernetes resources in the
-namespace and can create notebook servers as well as access
-existing notebooks.
+namespace and can create workbench servers as well as access
+existing workbenches.
 
 ## Managing contributors manually
 

content/en/docs/components/multi-tenancy/overview.md

@@ -30,7 +30,7 @@ With multi-user isolation, Users are authenticated and authorized, and then prov
 
 ## Current integration 
 
-These Kubeflow Components can support multi-user isolation: Central Dashboard, Notebooks, Pipelines, AutoML (Katib), KFServing.  Furthermore, resources created by the notebooks (for example, training jobs and deployments) also inherit the same access.
+These Kubeflow Components can support multi-user isolation: Central Dashboard, Workbenches, Pipelines, AutoML (Katib), KFServing.  Furthermore, resources created by the workbenches (for example, training jobs and deployments) also inherit the same access.
 
 Important notes: Multi-user isolation has several configurable dependencies, especially those related to how Kubeflow is configured with the underlying Kubernetes cluster’s identity management system.   Additionally, Kubeflow multi-user isolation doesn’t provide hard security guarantees against malicious attempts to infiltrate another user’s profile.
 

content/en/docs/components/notebooks/_index.md

@@ -1,5 +1,5 @@
 +++
-title = "Kubeflow Notebooks"
-description = "Documentation for Kubeflow Notebooks"
+title = "Kubeflow Workbenches"
+description = "Documentation for Kubeflow Workbenches"
 weight = 10
 +++

content/en/docs/components/notebooks/api-reference/_index.md

@@ -1,5 +1,5 @@
 +++
 title = "API Reference"
-description = "Reference documentation for Kubeflow Notebooks"
+description = "Reference documentation for Kubeflow Workbenches"
 weight = 900
 +++

content/en/docs/components/notebooks/container-images.md

@@ -1,19 +1,19 @@
 +++
 title = "Container Images"
-description = "About Container Images for Kubeflow Notebooks"
+description = "About Container Images for Kubeflow Workbenches"
 weight = 30
 
 +++
-Kubeflow Notebooks natively supports three types of notebooks, [JupyterLab](https://github.com/jupyterlab/jupyterlab), [RStudio](https://github.com/rstudio/rstudio), and [Visual Studio Code (code-server)](https://github.com/cdr/code-server), but any web-based IDE should work.
-Notebook servers run as containers inside a Kubernetes Pod, which means the type of IDE (and which packages are installed) is determined by the Docker image you pick for your server.
+Kubeflow Workbenches natively supports three types of workbenches, [JupyterLab](https://github.com/jupyterlab/jupyterlab), [RStudio](https://github.com/rstudio/rstudio), and [Visual Studio Code (code-server)](https://github.com/cdr/code-server), but any web-based IDE should work.
+Workbench servers run as containers inside a Kubernetes Pod, which means the type of IDE (and which packages are installed) is determined by the Docker image you pick for your server.
 
 ## Images
 
 We provide a number of [example container images](https://github.com/kubeflow/kubeflow/tree/master/components/example-notebook-servers) to get you started.
 
 ### Base Images
 
-These images provide a common starting point for Kubeflow Notebook containers.
+These images provide a common starting point for Kubeflow Workbench containers.
 See [custom images](#custom-images) to learn how to extend them with your own packages.
 
 Dockerfile | Registry | Notes
@@ -43,23 +43,23 @@ Dockerfile | Registry | Notes
 
 ### Image Dependency Chart
 
-This flow-chart shows how our notebook container images depend on each other.
+This flow-chart shows how our workbench container images depend on each other.
 
 <img src="/docs/images/notebook-container-image-chart.png" 
-     alt="A flow-chart showing how notebook container images depend on each other"  
+     alt="A flow-chart showing how workbench container images depend on each other"  
      class="mt-3 mb-3 border border-info rounded">
 
 ## Custom Images
 
-Packages installed by users __after spawning__ a Kubeflow Notebook will only last the lifetime of the pod (unless installed into a PVC-backed directory).
+Packages installed by users __after spawning__ a Kubeflow Workbench will only last the lifetime of the pod (unless installed into a PVC-backed directory).
 
 To ensure packages are preserved throughout Pod restarts users will need to either:
 1. [Build custom images that include them](https://github.com/kubeflow/kubeflow/tree/master/components/example-notebook-servers#custom-images), or
 2. Ensure they are installed in a PVC-backed directory
 
 ### Image Requirements
 
-For Kubeflow Notebooks to work with a container image, the image must:
+For Kubeflow Workbenches to work with a container image, the image must:
 - expose an HTTP interface on port `8888`:
   - kubeflow sets an environment variable `NB_PREFIX` at runtime with the URL path we expect the container be listening under
   - kubeflow uses IFrames, so ensure your application sets `Access-Control-Allow-Origin: *` in HTTP response headers
@@ -71,5 +71,5 @@ For Kubeflow Notebooks to work with a container image, the image must:
 
 ## Next steps
 
-- Use your container image by specifying it when spawning your notebook server.
+- Use your container image by specifying it when spawning your workbench server.
   (See the [quickstart guide](/docs/components/notebooks/quickstart-guide/).)

content/en/docs/components/notebooks/jupyter-tensorflow-examples.md

@@ -1,6 +1,6 @@
 +++
 title = "Jupyter TensorFlow Examples"
-description = "Examples using Jupyter and TensorFlow in Kubeflow Notebooks"
+description = "Examples using Jupyter and TensorFlow in Kubeflow Workbenches"
 weight = 40
 
 +++
@@ -9,7 +9,7 @@ weight = 40
 
 (adapted from [tensorflow/tensorflow - mnist_softmax.py](https://github.com/tensorflow/tensorflow/blob/r1.4/tensorflow/examples/tutorials/mnist/mnist_softmax.py))
 
-1. When creating your notebook server choose a [container image](/docs/components/notebooks/container-images/) which has Jupyter and TensorFlow installed.
+1. When creating your workbench server choose a [container image](/docs/components/notebooks/container-images/) which has Jupyter and TensorFlow installed.
 
 2. Use Jupyter's interface to create a new **Python 3** notebook.
 
@@ -55,4 +55,4 @@ weight = 40
 
 - See a [simple example](https://github.com/kubeflow/examples/tree/master/pipelines/simple-notebook-pipeline) of creating Kubeflow pipelines in a Jupyter notebook.
 - Build machine-learning pipelines with the [Kubeflow Pipelines SDK](/docs/components/pipelines/sdk/sdk-overview/).
-- Learn the advanced features available from a Kubeflow notebook, such as [submitting Kubernetes resources](/docs/components/notebooks/submit-kubernetes/) or [building Docker images](/docs/components/notebooks/custom-notebook/). 
+- Learn the advanced features available from a Kubeflow workbench, such as [submitting Kubernetes resources](/docs/components/notebooks/submit-kubernetes/) or [building Docker images](/docs/components/notebooks/custom-notebook/). 

content/en/docs/components/notebooks/overview.md

@@ -1,22 +1,22 @@
 +++
 title = "Overview"
-description = "An overview of Kubeflow Notebooks"
+description = "An overview of Kubeflow Workbenches"
 weight = 5
 
 +++
 {{% stable-status %}}
 
-## What is Kubeflow Notebooks?
+## What is Kubeflow Workbenches?
 
-Kubeflow Notebooks provides a way to run web-based development environments inside your Kubernetes cluster by running them inside Pods.
+Kubeflow Workbenches provides a way to run web-based development environments inside your Kubernetes cluster by running them inside Pods.
 
 Some key features include:
 - Native support for [JupyterLab](https://github.com/jupyterlab/jupyterlab), [RStudio](https://github.com/jupyterlab/jupyterlab), and [Visual Studio Code (code-server)](https://github.com/cdr/code-server).
-- Users can create notebook containers directly in the cluster, rather than locally on their workstations.
-- Admins can provide standard notebook images for their organization with required packages pre-installed.
-- Access control is managed by Kubeflow's RBAC, enabling easier notebook sharing across the organization.
+- Users can create workbench containers directly in the cluster, rather than locally on their workstations.
+- Admins can provide standard workbench images for their organization with required packages pre-installed.
+- Access control is managed by Kubeflow's RBAC, enabling easier workbench sharing across the organization.
 
 ## Next steps
 
-- Get started with Kubeflow Notebooks using the [quickstart guide](/docs/components/notebooks/quickstart-guide/).
+- Get started with Kubeflow Workbenches using the [quickstart guide](/docs/components/notebooks/quickstart-guide/).
 - Learn how to create your own [container images](/docs/components/notebooks/container-images/).