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ray/doc/source/cluster/cluster_under_construction/ray-clusters-on-kubernetes/user-guides/k8s-cluster-setup.md

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[KubeRay] Documentation structure and skeleton (#26589) Adds outline and structure for new KubeRay-based Ray-on-Kubernetes docs.
2022-07-19 13:28:04 -07:00
(kuberay-k8s-setup)=
[docs][kubernetes] GPU user guide (#27360) Signed-off-by: Dmitri Gekhtman <dmitri.m.gekhtman@gmail.com> This PR adds a page of guidance on GPU deployment with Ray/K8s. This page is a modified and slightly expanded version of the existing page https://docs.ray.io/en/latest/cluster/kubernetes-gpu.html moves managed K8s service intro links to their own page
2022-08-02 15:58:23 -07:00
# Managed Kubernetes services
[KubeRay] Documentation structure and skeleton (#26589) Adds outline and structure for new KubeRay-based Ray-on-Kubernetes docs.
2022-07-19 13:28:04 -07:00
[kubernetes][docs] Logging guide, networking info, migration guide, fixes. (#27607) This PR Adds notes and example on logging for Ray/K8s. Implements an API Reference paging pointing to the configuration guide and the RayCluster CR definition. Takes managed K8s services out of the tabbed structure, to make that page look less sad. Adds a comparison of the KubeRay operator and legacy K8s operator Adds an architecture diagram for the autoscaling sections Fixes some other minor items Adds some info about networking to the configuration guide, removes the previously planned networking page Signed-off-by: Dmitri Gekhtman <dmitri.m.gekhtman@gmail.com>
2022-08-09 00:38:05 -07:00
The KubeRay operator and Ray can run on any cloud or on-prem Kubernetes cluster.
The simplest way to provision a remote Kubernetes cluster is to use a cloud-based managed service.
[docs][kubernetes] GPU user guide (#27360) Signed-off-by: Dmitri Gekhtman <dmitri.m.gekhtman@gmail.com> This PR adds a page of guidance on GPU deployment with Ray/K8s. This page is a modified and slightly expanded version of the existing page https://docs.ray.io/en/latest/cluster/kubernetes-gpu.html moves managed K8s service intro links to their own page
2022-08-02 15:58:23 -07:00
We collect a few helpful links for users who are getting started with a managed Kubernetes service.
[KubeRay] Documentation structure and skeleton (#26589) Adds outline and structure for new KubeRay-based Ray-on-Kubernetes docs.
2022-07-19 13:28:04 -07:00
[kubernetes][docs] Logging guide, networking info, migration guide, fixes. (#27607) This PR Adds notes and example on logging for Ray/K8s. Implements an API Reference paging pointing to the configuration guide and the RayCluster CR definition. Takes managed K8s services out of the tabbed structure, to make that page look less sad. Adds a comparison of the KubeRay operator and legacy K8s operator Adds an architecture diagram for the autoscaling sections Fixes some other minor items Adds some info about networking to the configuration guide, removes the previously planned networking page Signed-off-by: Dmitri Gekhtman <dmitri.m.gekhtman@gmail.com>
2022-08-09 00:38:05 -07:00
(gke-setup)=
# Setting up a GKE cluster (Google Cloud)
[docs][kubernetes] GPU user guide (#27360) Signed-off-by: Dmitri Gekhtman <dmitri.m.gekhtman@gmail.com> This PR adds a page of guidance on GPU deployment with Ray/K8s. This page is a modified and slightly expanded version of the existing page https://docs.ray.io/en/latest/cluster/kubernetes-gpu.html moves managed K8s service intro links to their own page
2022-08-02 15:58:23 -07:00
You can find the landing page for GKE [here](https://cloud.google.com/kubernetes-engine).
If you have an account set up, you can immediately start experimenting with Kubernetes clusters in the provider's console.
Alternatively, check out the [documentation](https://cloud.google.com/kubernetes-engine/docs/) and
[quickstart guides](https://cloud.google.com/kubernetes-engine/docs/deploy-app-cluster). To successfully deploy Ray on Kubernetes,
you will need to configure pools of Kubernetes nodes;
find guidance [here](https://cloud.google.com/kubernetes-engine/docs/concepts/node-pools).
[KubeRay] Documentation structure and skeleton (#26589) Adds outline and structure for new KubeRay-based Ray-on-Kubernetes docs.
2022-07-19 13:28:04 -07:00
[kubernetes][docs] Logging guide, networking info, migration guide, fixes. (#27607) This PR Adds notes and example on logging for Ray/K8s. Implements an API Reference paging pointing to the configuration guide and the RayCluster CR definition. Takes managed K8s services out of the tabbed structure, to make that page look less sad. Adds a comparison of the KubeRay operator and legacy K8s operator Adds an architecture diagram for the autoscaling sections Fixes some other minor items Adds some info about networking to the configuration guide, removes the previously planned networking page Signed-off-by: Dmitri Gekhtman <dmitri.m.gekhtman@gmail.com>
2022-08-09 00:38:05 -07:00
(eks-setup)=
# Setting up an EKS cluster (AWS)
[docs][kubernetes] GPU user guide (#27360) Signed-off-by: Dmitri Gekhtman <dmitri.m.gekhtman@gmail.com> This PR adds a page of guidance on GPU deployment with Ray/K8s. This page is a modified and slightly expanded version of the existing page https://docs.ray.io/en/latest/cluster/kubernetes-gpu.html moves managed K8s service intro links to their own page
2022-08-02 15:58:23 -07:00
You can find the landing page for EKS [here](https://aws.amazon.com/eks/).
If you have an account set up, you can immediately start experimenting with Kubernetes clusters in the provider's console.
Alternatively, check out the [documentation](https://docs.aws.amazon.com/eks/latest/userguide/) and
[quickstart guides](https://docs.aws.amazon.com/eks/latest/userguide/getting-started.html). To successfully deploy Ray on Kubernetes,
you will need to configure groups of Kubernetes nodes;
find guidance [here](https://docs.aws.amazon.com/eks/latest/userguide/managed-node-groups.html).
[KubeRay] Documentation structure and skeleton (#26589) Adds outline and structure for new KubeRay-based Ray-on-Kubernetes docs.
2022-07-19 13:28:04 -07:00
[kubernetes][docs] Logging guide, networking info, migration guide, fixes. (#27607) This PR Adds notes and example on logging for Ray/K8s. Implements an API Reference paging pointing to the configuration guide and the RayCluster CR definition. Takes managed K8s services out of the tabbed structure, to make that page look less sad. Adds a comparison of the KubeRay operator and legacy K8s operator Adds an architecture diagram for the autoscaling sections Fixes some other minor items Adds some info about networking to the configuration guide, removes the previously planned networking page Signed-off-by: Dmitri Gekhtman <dmitri.m.gekhtman@gmail.com>
2022-08-09 00:38:05 -07:00
(aks-setup)=
# Setting up an AKS (Microsoft Azure)
[docs][kubernetes] GPU user guide (#27360) Signed-off-by: Dmitri Gekhtman <dmitri.m.gekhtman@gmail.com> This PR adds a page of guidance on GPU deployment with Ray/K8s. This page is a modified and slightly expanded version of the existing page https://docs.ray.io/en/latest/cluster/kubernetes-gpu.html moves managed K8s service intro links to their own page
2022-08-02 15:58:23 -07:00
You can find the landing page for AKS [here](https://azure.microsoft.com/en-us/services/kubernetes-service/).
If you have an account set up, you can immediately start experimenting with Kubernetes clusters in the provider's console.
Alternatively, check out the [documentation](https://docs.microsoft.com/en-us/azure/aks/) and
[quickstart guides](https://docs.microsoft.com/en-us/azure/aks/learn/quick-kubernetes-deploy-portal?tabs=azure-cli). To successfully deploy Ray on Kubernetes,
you will need to configure pools of Kubernetes nodes;
find guidance [here](https://docs.microsoft.com/en-us/azure/aks/use-multiple-node-pools).
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