KubeRay Operator Installation and Management

Deploying the KubeRay Operator

Deploy the KubeRay operator in the ray namespace using the Helm chart repository. If you don’t have helm installed, install Helm first.

helm repo add kuberay https://ray-project.github.io/kuberay-helm/
helm repo update

Update the values.yaml to override the default settings. For example, update the requests section:

requests:
   cpu: 100m
   memory: 512Mi

If this is a new installation, install both the CRDs and the KubeRay operator:

helm install kuberay-operator kuberay/kuberay-operator -f values.yaml -n ray

If this is an upgrade to an existing installation, use the following command to upgrade:

helm upgrade --install kuberay-operator kuberay/kuberay-operator -f values.yaml -n ray

To confirm that the operator is running, check the pods:

kubectl get pods

A kuberay-operator- pod should appear, as shown below:

# NAME                                          READY   STATUS    RESTARTS       AGE
# kuberay-operator-5bc8dbcfb-wddp8              1/1     Running   3 (130m ago)   138m

Allow Other Namespaces to Create Ray Resources

To allow other namespaces to create Ray resources, run kubectl edit clusterrole kubeless-user and add the following section:

- apiGroups:
  - ray.io
  resources:
  - rayjobs
  - rayservices
  - rayclusters
  verbs:
  - list
  - watch
  - get
  - update
  - delete

Cleaning Up KubeRay Operator

To uninstall the KubeRay Operator, run the following command:

helm uninstall kuberay-operator
# release "kuberay-operator" uninstalled

It may take a few seconds for the KubeRay Operator pod to terminate. Confirm that the pods are gone by running:

kubectl get pods