[Doc] [KubeRay] Update v0.6.0 to v1.0.0-rc.0 (#39285)

Analogous to #37833, this PR updates the default KubeRay version in the docs to 1.0.0-rc.0. We will release KubeRay 1.0.0-rc.0 before the Ray 2.7 docs go live. --------- Signed-off-by: Archit Kulkarni <[email protected]>
ray-project · Sep 6, 2023 · 573251b · 573251b
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diff --git a/doc/source/cluster/kubernetes/examples/gpu-training-example.md b/doc/source/cluster/kubernetes/examples/gpu-training-example.md
@@ -40,10 +40,10 @@ kubectl apply -f https://raw.githubusercontent.com/GoogleCloudPlatform/container
 # (Method 2) "gcloud container clusters get-credentials <your-cluster-name> --region <your-region> --project <your-project>"
 # (Method 3) "kubectl config use-context ..."
 
-# Install both CRDs and KubeRay operator v0.6.0.
+# Install both CRDs and KubeRay operator v1.0.0-rc.0.
 helm repo add kuberay https://ray-project.github.io/kuberay-helm/
 helm repo update
-helm install kuberay-operator kuberay/kuberay-operator --version 0.6.0
+helm install kuberay-operator kuberay/kuberay-operator --version 1.0.0-rc.0
 
 # Create a Ray cluster
 kubectl apply -f https://raw.githubusercontent.com/ray-project/ray/master/doc/source/cluster/kubernetes/configs/ray-cluster.gpu.yaml
@@ -116,7 +116,7 @@ It is optional.
 # Create the KubeRay operator
 helm repo add kuberay https://ray-project.github.io/kuberay-helm/
 helm repo update
-helm install kuberay-operator kuberay/kuberay-operator --version 0.6.0
+helm install kuberay-operator kuberay/kuberay-operator --version 1.0.0-rc.0
 
 # Create a Ray cluster
 kubectl apply -f https://raw.githubusercontent.com/ray-project/ray/master/doc/source/cluster/kubernetes/configs/ray-cluster.gpu.yaml

diff --git a/doc/source/cluster/kubernetes/getting-started/raycluster-quick-start.md b/doc/source/cluster/kubernetes/getting-started/raycluster-quick-start.md
@@ -26,8 +26,8 @@ Deploy the KubeRay operator with the [Helm chart repository](https://github.com/
 helm repo add kuberay https://ray-project.github.io/kuberay-helm/
 helm repo update
 
-# Install both CRDs and KubeRay operator v0.6.0.
-helm install kuberay-operator kuberay/kuberay-operator --version 0.6.0
+# Install both CRDs and KubeRay operator v1.0.0-rc.0.
+helm install kuberay-operator kuberay/kuberay-operator --version 1.0.0-rc.0
 
 # Confirm that the operator is running in the namespace `default`.
 kubectl get pods
@@ -43,7 +43,7 @@ Once the KubeRay operator is running, we are ready to deploy a RayCluster. To do
 
 ```sh
 # Deploy a sample RayCluster CR from the KubeRay Helm chart repo:
-helm install raycluster kuberay/ray-cluster --version 0.6.0
+helm install raycluster kuberay/ray-cluster --version 1.0.0-rc.0
 
 # Once the RayCluster CR has been created, you can view it by running:
 kubectl get rayclusters

diff --git a/doc/source/cluster/kubernetes/k8s-ecosystem/ingress.md b/doc/source/cluster/kubernetes/k8s-ecosystem/ingress.md
@@ -2,7 +2,7 @@
 
 # Ingress
 
-Two examples show how to use ingress to access your Ray cluster:
+Three examples show how to use ingress to access your Ray cluster:
 
  * [AWS Application Load Balancer (ALB) Ingress support on AWS EKS](kuberay-aws-alb)
  * [GKE Ingress support](kuberay-gke-ingress)
@@ -25,10 +25,10 @@ Two examples show how to use ingress to access your Ray cluster:
 # Step 1: Install KubeRay operator and CRD
 helm repo add kuberay https://ray-project.github.io/kuberay-helm/
 helm repo update
-helm install kuberay-operator kuberay/kuberay-operator --version 0.6.0
+helm install kuberay-operator kuberay/kuberay-operator --version 1.0.0-rc.0
 
 # Step 2: Install a RayCluster
-helm install raycluster kuberay/ray-cluster --version 0.6.0
+helm install raycluster kuberay/ray-cluster --version 1.0.0-rc.0
 
 # Step 3: Edit the `ray-operator/config/samples/ray-cluster-alb-ingress.yaml`
 #
@@ -113,10 +113,10 @@ Now run the following commands:
 # Step 1: Install KubeRay operator and CRD
 helm repo add kuberay https://ray-project.github.io/kuberay-helm/
 helm repo update
-helm install kuberay-operator kuberay/kuberay-operator --version 0.6.0
+helm install kuberay-operator kuberay/kuberay-operator --version 1.0.0-rc.0
 
 # Step 2: Install a RayCluster
-helm install raycluster kuberay/ray-cluster --version 0.6.0
+helm install raycluster kuberay/ray-cluster --version 1.0.0-rc.0
 
 # Step 3: Edit ray-cluster-gclb-ingress.yaml to replace the service name with the name of the head service from the RayCluster. (Output of `kubectl get svc`)
 
@@ -176,7 +176,7 @@ kubectl wait --namespace ingress-nginx \
 # Step 3: Install KubeRay operator and CRD
 helm repo add kuberay https://ray-project.github.io/kuberay-helm/
 helm repo update
-helm install kuberay-operator kuberay/kuberay-operator --version 0.6.0
+helm install kuberay-operator kuberay/kuberay-operator --version 1.0.0-rc.0
 
 # Step 4: Install RayCluster and create an ingress separately.
 # More information about change of setting was documented in https://github.com/ray-project/kuberay/pull/699 

diff --git a/doc/source/cluster/kubernetes/k8s-ecosystem/kubeflow.md b/doc/source/cluster/kubernetes/k8s-ecosystem/kubeflow.md
@@ -42,7 +42,7 @@ kustomize version --short
 ```sh
 # Create a RayCluster CR, and the KubeRay operator will reconcile a Ray cluster
 # with 1 head Pod and 1 worker Pod.
-helm install raycluster kuberay/ray-cluster --version 0.6.0 --set image.tag=2.2.0-py38-cpu
+helm install raycluster kuberay/ray-cluster --version 1.0.0-rc.0 --set image.tag=2.2.0-py38-cpu
 
 # Check RayCluster
 kubectl get pod -l ray.io/cluster=raycluster-kuberay

diff --git a/doc/source/cluster/kubernetes/user-guides/rayserve-dev-doc.md b/doc/source/cluster/kubernetes/user-guides/rayserve-dev-doc.md
@@ -16,7 +16,7 @@ Follow [this document](kuberay-operator-deploy) to install the latest stable Kub
 # Step 2: Create a RayCluster CR
 
 ```sh
-helm install raycluster kuberay/ray-cluster --version 0.6.0
+helm install raycluster kuberay/ray-cluster --version 1.0.0-rc.0
 ```
 
 # Step 3: Log in to the head Pod
@@ -50,7 +50,7 @@ the second `mobilenet` is the name of the Python file in the directory `mobilene
 helm uninstall raycluster
 
 # Install the RayCluster CR with the Ray image `rayproject/ray-ml:${RAY_VERSION}`
-helm install raycluster kuberay/ray-cluster --version 0.6.0 --set image.repository=rayproject/ray-ml
+helm install raycluster kuberay/ray-cluster --version 1.0.0-rc.0 --set image.repository=rayproject/ray-ml
 ```
 
 The error message in Step 4 indicates that the Ray image `rayproject/ray:${RAY_VERSION}` does not have the TensorFlow package.

diff --git a/doc/source/cluster/kubernetes/user-guides/tls.md b/doc/source/cluster/kubernetes/user-guides/tls.md
@@ -36,7 +36,7 @@ This [YouTube video](https://youtu.be/T4Df5_cojAs) is a good start.
 your CA private key in a Kubernetes Secret in your production environment.
 
 ```sh
-# Install v0.6.0 KubeRay operator
+# Install v1.0.0-rc.0 KubeRay operator
 # `ray-cluster.tls.yaml` will cover from Step 1 to Step 3
 
 # Download `ray-cluster.tls.yaml`