mirror of https://github.com/kubeflow/website.git
Moving /notebooks to under /components + fix redirects (#2484)
* mv /notebooks under /components * Fix all redirects to /notebooks
This commit is contained in:
Rui Vasconcelos
GitHub
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@ -52,7 +52,7 @@ title = "Kubeflow"
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<div class="card-body bg-primary-dark">
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<h5 class="card-title text-white section-head">Notebooks</h5>
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<p class="card-text text-white">
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Kubeflow includes services to create and manage interactive <a target="_blank" rel="noopener" href="/docs/notebooks/">Jupyter
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Kubeflow includes services to create and manage interactive <a target="_blank" rel="noopener" href="/docs/components/notebooks/">Jupyter
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notebooks</a>. You can customize your notebook deployment and your compute resources to
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suit your data science needs. Experiment with your workflows locally, then
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deploy them to a cloud when you're ready.
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@ -92,5 +92,5 @@ See these docs for more information on the topics covered above:
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- [Hyperparameter tuning with Katib](/docs/components/katib/)
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- [Training models with operators](/docs/components/training/)
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- [Get started with Pipelines](https://www.kubeflow.org/docs/pipelines/)
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- [Jupyter notebooks](/docs/notebooks/)
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- [Jupyter notebooks](/docs/components/notebooks/)
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- [Kubeflow roadmap](http://bit.ly/kf_roadmap)
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@ -125,4 +125,4 @@ You can access Kubeflow via `kubectl` and port-forwarding as follows:
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option](/docs/components/multi-tenancy/) where you
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can set up a single namespace for a shared deployment or configure
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multi-tenancy for your Kubeflow deployment.
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* [Set up your Jupyter notebooks](/docs/notebooks/setup/) in Kubeflow.
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* [Set up your Jupyter notebooks](/docs/components/notebooks/setup/) in Kubeflow.
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@ -61,5 +61,5 @@ with your namespace available in the dropdown list at the top of the screen:
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## Next steps
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* [Set up a Jupyter notebook](/docs/notebooks/setup/) in Kubeflow.
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* [Set up a Jupyter notebook](/docs/components/notebooks/setup/) in Kubeflow.
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* Read more about [multi-tenancy in Kubeflow](/docs/components/multi-tenancy/).
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@ -54,7 +54,7 @@ The following are the goals of the [Kubeflow Fairing project][fairing-repo]:
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* Learn how to [set up a Jupyter notebooks instance on your Kubeflow
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cluster][kubeflow-notebooks].
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[kubeflow-notebooks]: /docs/notebooks/setup/
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[kubeflow-notebooks]: /docs/components/notebooks/setup/
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[ai-platform]: https://cloud.google.com/ml-engine/docs/
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[fairing-repo]: https://github.com/kubeflow/fairing
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[kubeflow]: /docs/about/kubeflow/
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@ -15,7 +15,7 @@ with a number of machine learning (ML) libraries.
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## Set up Kubeflow and access the Kubeflow notebook environment
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Follow the [Kubeflow notebook setup guide](/docs/notebooks/setup/)
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Follow the [Kubeflow notebook setup guide](/docs/components/notebooks/setup/)
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to install Kubeflow, access your Kubeflow hosted notebook environment, and
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create a new notebook server.
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@ -10,5 +10,5 @@ needs to be updated for Kubeflow 1.1.
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{{% /alert %}}
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Your Kubeflow deployment includes support for spawning and managing Jupyter
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notebooks. See how to [set up your notebooks](/docs/notebooks/setup/) and
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[explore more notebook functionality](/docs/notebooks/).
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notebooks. See how to [set up your notebooks](/docs/components/notebooks/setup/) and
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[explore more notebook functionality](/docs/components/notebooks/).
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@ -56,7 +56,7 @@ You can find an example of how to use the Metadata SDK in this
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To run the notebook in your Kubeflow cluster:
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1. Follow the guide to
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[setting up your Jupyter notebooks in Kubeflow](/docs/notebooks/setup/).
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[setting up your Jupyter notebooks in Kubeflow](/docs/components/notebooks/setup/).
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1. Go to the [`demo` notebook on GitHub](https://github.com/kubeflow/metadata/blob/master/sdk/python/sample/demo.ipynb).
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1. Download the notebook code by opening the **Raw** view of the file, then
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right-clicking on the content and saving the file locally as `demo.ipynb`.
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@ -87,4 +87,4 @@ CMD ["sh","-c", "jupyter notebook --notebook-dir=/home/jovyan --ip=0.0.0.0 --no-
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When starting a Jupyter notebook server from the
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Kubeflow UI, specify your custom Docker image. See the guide to [setting up
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your Jupyter notebooks](/docs/notebooks/setup/).
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your Jupyter notebooks](/docs/components/notebooks/setup/).
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@ -97,7 +97,7 @@ central dashboard](/docs/components/central-dash/overview/).
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* **Custom image**: If you select the custom option, you must specify a Docker
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image in the form `registry/image:tag`. For guidelines on creating a Docker
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image for your notebook, see the guide to
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[creating a custom Jupyter image](/docs/notebooks/custom-notebook/).
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[creating a custom Jupyter image](/docs/components/notebooks/custom-notebook/).
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* **Standard image**: Click the **Image** dropdown menu to see the list of
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available images. The standard Docker images include typical machine learning
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@ -309,8 +309,8 @@ exposed to the internet and is an unsecured endpoint by default.
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building, training, and deploying an ML model from a notebook.
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* See how to configure [multi-user isolation](/docs/components/multi-tenancy/) in Kubeflow, to separate the notebooks for each user in a shared Kubeflow deployment.
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* Learn the advanced features available from a Kubeflow notebook, such as
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[submitting Kubernetes resources](/docs/notebooks/submit-kubernetes/) or
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[building Docker images](/docs/notebooks/submit-docker-image/).
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* Visit the [troubleshooting guide](/docs/notebooks/troubleshoot) for fixing common
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[submitting Kubernetes resources](/docs/components/notebooks/submit-kubernetes/) or
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[building Docker images](/docs/components/notebooks/submit-docker-image/).
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* Visit the [troubleshooting guide](/docs/components/notebooks/troubleshoot) for fixing common
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errors in creating Jupyter notebooks in Kubeflow
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@ -43,6 +43,6 @@ For information about the format of the YAML file, see the
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## Next steps
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* See the guide to [setting up
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your Jupyter notebooks in Kubeflow](/docs/notebooks/setup/).
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your Jupyter notebooks in Kubeflow](/docs/components/notebooks/setup/).
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* Explore the [components of Kubeflow](/docs/components/), including custom
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Kubernetes resources.
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@ -22,4 +22,4 @@ Overall, Kubeflow-hosted notebooks are better integrated with other components w
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## Next steps
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* Learn more about [setting up notebooks](/docs/notebooks/setup/).
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* Learn more about [setting up notebooks](/docs/components/notebooks/setup/).
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@ -100,7 +100,7 @@ It's time to get started!
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1. Launch a Jupyter notebook in your Kubeflow cluster. See the guide to
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[setting up your
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notebooks](/docs/notebooks/setup/#create-a-jupyter-notebook-server-and-add-a-notebook).
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notebooks](/docs/components/notebooks/setup/#create-a-jupyter-notebook-server-and-add-a-notebook).
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*Note:* This tutorial has been tested with the *Tensorflow 1.15 CPU* image
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as the baseline image for the notebook.
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@ -71,7 +71,7 @@ how RBAC interacts with IAM on GCP.
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## Problems spawning Jupyter pods
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This section has been moved to [Jupyter Notebooks Troubleshooting Guide](/docs/notebooks/troubleshoot/).
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This section has been moved to [Jupyter Notebooks Troubleshooting Guide](/docs/components/notebooks/troubleshoot/).
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## Pods stuck in Pending state
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@ -141,7 +141,7 @@ Notes on specific features
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* After deployment, your Kubernetes cluster includes all the
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[Kubeflow components](/docs/components/).
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For example, you can use the Jupyter notebook services
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[deployed with Kubeflow](/docs/notebooks/) to create one or more notebook
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[deployed with Kubeflow](/docs/components/notebooks/) to create one or more notebook
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servers in your Kubeflow cluster.
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* Kubeflow Pipelines multi-user support is **only available** in full Kubeflow. It supports
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using a single Kubeflow Pipelines control plane to orchestrate user pipeline
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@ -90,7 +90,7 @@ Follow these steps to start a notebook:
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* When Kubeflow is running, access the Kubeflow UI at a URL of the form
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`https://<deployment-name>.endpoints.<project>.cloud.goog/`.
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1. Follow the [Kubeflow notebooks setup guide](/docs/notebooks/setup/) to
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1. Follow the [Kubeflow notebooks setup guide](/docs/components/notebooks/setup/) to
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create a Jupyter notebook server and open the Jupyter UI.
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1. Download the sample notebooks from
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@ -152,14 +152,14 @@ documentation for that application.
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<td></td>
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</tr>
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<tr>
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<td><a href="/docs/notebooks/why-use-jupyter-notebook/">Notebook web
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<td><a href="/docs/components/notebooks/why-use-jupyter-notebook/">Notebook web
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app</a>
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(<a href="https://github.com/kubeflow/kubeflow/tree/master/components/jupyter-web-app">GitHub</a>)
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<td>Stable</td>
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<td>1.0.0</td>
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</tr>
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<tr>
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<td><a href="/docs/notebooks/why-use-jupyter-notebook/">Notebook
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<td><a href="/docs/components/notebooks/why-use-jupyter-notebook/">Notebook
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controller</a>
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(<a href="https://github.com/kubeflow/kubeflow/tree/master/components/notebook-controller">GitHub</a>)
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</td>
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@ -90,7 +90,7 @@ components are useful at each stage:
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To learn more, read the following guides to the Kubeflow components:
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* Kubeflow includes services for spawning and managing
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[Jupyter notebooks](/docs/notebooks/). Use notebooks for interactive data
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[Jupyter notebooks](/docs/components/notebooks/). Use notebooks for interactive data
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science and experimenting with ML workflows.
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* [Kubeflow Pipelines](/docs/pipelines/pipelines-overview/) is a platform for
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