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Merge pull request #3048 from manics/externalredirects
docs: Replace most permanent-redirects from linkcheck
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docs/source/administrator/authentication.md

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@@ -198,7 +198,7 @@ The narrower scope `read:user` is sufficient for a configuration of `allowed_org
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The broader scope `read:org` doesn't have the limitations of `read:user`, but will require a one-off approval by the admins of the GitHub organizations' listed in `allowed_organizations`. This kind of approval can be requested by organization users [as documented on GitHub](https://docs.github.com/en/account-and-profile/setting-up-and-managing-your-personal-account-on-github/managing-your-membership-in-organizations/requesting-organization-approval-for-oauth-apps).
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For details about GitHub scopes, see [GitHub's documentation](https://docs.github.com/en/developers/apps/building-oauth-apps/scopes-for-oauth-apps).
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For details about GitHub scopes, see [GitHub's documentation](https://docs.github.com/en/apps/oauth-apps/building-oauth-apps/scopes-for-oauth-apps).
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```
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#### Google
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#### Azure Active Directory
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[Azure Active Directory](https://docs.microsoft.com/en-us/azure/active-directory/)
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[Azure Active Directory](https://learn.microsoft.com/en-us/azure/active-directory/)
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is an identity provider from Microsoft Azure. Apart from needing a OAuth2
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_client id_ and _client secret_, you will also need a _tenant id_.
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docs/source/administrator/upgrading/index.md

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@@ -11,7 +11,7 @@ then follow [](helm-upgrade-command).
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Major releases may contain breaking changes, and will often require changes to your configuration.
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They have dedicated instructions for upgrading your deployment in addition to the general instructions on this page.
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For additional help, feel free to reach out to us on [gitter](https://gitter.im/jupyterhub/jupyterhub)
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For additional help, feel free to reach out to us on [gitter](https://app.gitter.im/#/room/#jupyterhub_jupyterhub:gitter.im)
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or the [Discourse forum](https://discourse.jupyter.org/).
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(upgrading-major-upgrades)=
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## JupyterHub versions installed in each Helm Chart
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Each Helm Chart is packaged with a specific version of JupyterHub (and
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other software as well). See the [Helm Chart repository](https://jupyterhub.github.io/helm-chart/) for
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other software as well). See the [Helm Chart repository](https://hub.jupyter.org/helm-chart/) for
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information about the versions of relevant software packages.
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## Troubleshooting

docs/source/jupyterhub/customizing/user-resources.md

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- [Google Kubernetes Engine (GKE)](https://cloud.google.com/kubernetes-engine/docs/how-to/gpus)
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- [Amazon Elastic Kubernetes Service (EKS)](https://aws.amazon.com/blogs/compute/running-gpu-accelerated-kubernetes-workloads-on-p3-and-p2-ec2-instances-with-amazon-eks/)
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- [Azure Kubernetes Service (AKS)](https://docs.microsoft.com/en-us/azure/aks/gpu-cluster)
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- [Azure Kubernetes Service (AKS)](https://learn.microsoft.com/en-us/azure/aks/gpu-cluster)
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You will also need to deploy the k8s-device-plugin following the instructions [here](https://github.com/NVIDIA/k8s-device-plugin#quick-start).
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docs/source/kubernetes/amazon/step-zero-aws-eks.md

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If you'd like to do some {ref}`optimizations <efficient-cluster-autoscaling>`, you need to deploy Cluster Autoscaler (CA) first.
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See <https://www.eksworkshop.com/beginner/080_scaling/deploy_ca/>
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See <https://archive.eksworkshop.com/beginner/080_scaling/deploy_ca/>

docs/source/kubernetes/google/step-zero-gcp.md

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[Google Kubernetes Engine](https://cloud.google.com/kubernetes-engine/)
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(GKE) is the simplest and most common way of setting
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up a Kubernetes Cluster. You may be able to receive [free credits](https://cloud.google.com/free/) for trying it out (though note that a
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free account [comes with limitations](https://cloud.google.com/free/docs/gcp-free-tier#free-tier-usage-limits)).
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free account [comes with limitations](https://cloud.google.com/free/docs/free-cloud-features#free-tier-usage-limits)).
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Either way, you will need to connect your credit card or other payment method to
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your google cloud account.
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- Replace `<CLUSTERNAME>` with a name that can be used to refer to this cluster
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in the future.
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- `--machine-type` specifies the amount of CPU and RAM in each node within
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this default node pool. There is a [variety of types](https://cloud.google.com/compute/docs/machine-types) to choose from.
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this default node pool. There is a [variety of types](https://cloud.google.com/compute/docs/machine-resource) to choose from.
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- `--num-nodes` specifies how many nodes to spin up. You can change this
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later through the cloud console or using the `gcloud` command line tool.
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- `--zone` specifies the data center zone where your cluster will be created.

docs/source/kubernetes/microsoft/step-zero-azure.md

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# Kubernetes on Microsoft Azure Kubernetes Service (AKS)
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You can create a Kubernetes cluster [either through the Azure portal website, or using the Azure command line tools](https://docs.microsoft.com/en-us/azure/aks/).
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You can create a Kubernetes cluster [either through the Azure portal website, or using the Azure command line tools](https://learn.microsoft.com/en-us/azure/aks/).
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This page describes the commands required to setup a Kubernetes cluster using the command line.
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If you prefer to use the Azure portal see the [Azure Kubernetes Service quickstart](https://docs.microsoft.com/en-us/azure/aks/learn/quick-kubernetes-deploy-portal).
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If you prefer to use the Azure portal see the [Azure Kubernetes Service quickstart](https://learn.microsoft.com/en-us/azure/aks/learn/quick-kubernetes-deploy-portal).
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1. Prepare your Azure shell environment. You have two options, one is to use
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the Azure interactive shell, the other is to install the Azure command-line
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`<RESOURCE-GROUP-NAME>` of `ucb_2018sp_data100_hub`.
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- `--location` specifies the location of the data center you want your resource to be in.
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In this case, we used the `centralus` location. For other options, see the
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[Azure list of locations that support AKS](https://docs.microsoft.com/en-us/azure/aks/quotas-skus-regions#region-availability).
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[Azure list of locations that support AKS](https://learn.microsoft.com/en-us/azure/aks/quotas-skus-regions#region-availability).
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Note that not all locations offer all VM sizes. To see a list of recommended locations, go to
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[Azure Portal > Virtual Machines](https://portal.azure.com/#view/HubsExtension/BrowseResource/resourceType/Microsoft.Compute%2FVirtualMachines),
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click on "create.." and see the list of recommended locations in the drop down list for `Region`.
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To enable this in Azure, we must first create a [Virtual Network](https://docs.microsoft.com/en-gb/azure/virtual-network/virtual-networks-overview) with Azure's own network policies enabled.
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To enable this in Azure, we must first create a [Virtual Network](https://learn.microsoft.com/en-gb/azure/virtual-network/virtual-networks-overview) with Azure's own network policies enabled.
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This section of the documentation is following the Microsoft Azure tutorial on [creating an AKS cluster and enabling network policy](https://docs.microsoft.com/en-us/azure/aks/use-network-policies#create-an-aks-cluster-and-enable-network-policy), which includes information on using [Calico](https://projectcalico.docs.tigera.io/) network policies.
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This section of the documentation is following the Microsoft Azure tutorial on [creating an AKS cluster and enabling network policy](https://learn.microsoft.com/en-us/azure/aks/use-network-policies#create-an-aks-cluster-and-enable-network-policy), which includes information on using [Calico](https://docs.tigera.io/) network policies.
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We will create an Azure Active Directory (Azure AD) [service principal](https://docs.microsoft.com/en-us/azure/active-directory/develop/app-objects-and-service-principals) for use with the cluster, and assign the [Contributor role](https://docs.microsoft.com/en-us/azure/role-based-access-control/built-in-roles#contributor) for use with the VNet.
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We will create an Azure Active Directory (Azure AD) [service principal](https://learn.microsoft.com/en-us/azure/active-directory/develop/app-objects-and-service-principals) for use with the cluster, and assign the [Contributor role](https://learn.microsoft.com/en-us/azure/role-based-access-control/built-in-roles#contributor) for use with the VNet.
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There is a [list of all possible node sizes](https://learn.microsoft.com/en-us/azure/cloud-services/cloud-services-sizes-specs)
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for you to choose from, but not all might be available in your location.
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[azure resource group]: https://docs.microsoft.com/en-us/azure/azure-resource-manager/resource-group-overview#resource-groups
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[azure resource group]: https://learn.microsoft.com/en-us/azure/azure-resource-manager/resource-group-overview#resource-groups

docs/source/resources/glossary.md

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for that cloud.
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- [The Illustrated Children's Guide to Kubernetes](https://www.youtube.com/watch?v=4ht22ReBjno)
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- [The official "What is Kubernetes?" text](https://kubernetes.io/docs/concepts/overview/what-is-kubernetes/)
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- [The official "What is Kubernetes?" text](https://kubernetes.io/docs/concepts/overview/)
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Kubernetes API server
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The [Kubernetes API](https://kubernetes.io/docs/concepts/overview/kubernetes-api/) server,

docs/source/resources/reference-docs.md

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provides information about JupyterHub itself (not the Kubernetes deployment).
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- [Binder](https://mybinder.org) allows users to create sharable computational
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environments on-the-fly. It makes heavy use of JupyterHub.
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- The [2016 JupyterHub Workshop](https://github.com/jupyter-resources/jupyterhub-2016-workshop)
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- The [2016 JupyterHub Workshop](https://github.com/jupyter/jupyterhub-2016-workshop)
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was an informal gathering to share experience in deploying JupyterHub for various
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use-cases, including teaching and high-performance computing.

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