Hi @kiran8 ,
Welcome to Google Cloud Community!
Here’s the step-by-step basic troubleshooting you can use:
1.Verify Operator Health:
- Check operator pod status
(kubectl get pods -n <operator-namespace>)
- View operator logs
(kubectl logs -n <operator-namespace> <operator-pod-name>)
2. Check RayCluster CR Status:
- Use
kubectl get raycluster -n <your-namespace> -o yaml <your-raycluster-name> to see the current state, events, and any errors associated with your cluster.
- Pay close attention to the status field in the output. Look for any error messages.
3.Inspect Events:
- Use
kubectl get events -n <your-namespace> to review events related to pod scheduling, creation, or any failures.
- Look for events related to your RayCluster or the operator.
4. Describe Failing Pods:
- If any pods have been created and are failing, use
kubectl describe pod -n <your-namespace> <failing-pod-name> to get more detailed information on errors (like ImagePullBackOff, scheduling failures, etc.).
5. Simplify:
- Try a minimal RayCluster CR with the bare minimum configuration to see if it works. Start from the basics and add complexity gradually.
6. Check Resources:
- Use
kubectl describe node on your cluster nodes to see the available resources and any node taints.
7. Check the Ray Operator's RBAC:
- Ensure the operator service account has the necessary roles.
8. Review Ray Operator and Cluster Configuration:
- Review the YAML files for any potential errors or typos
To understand more about Kuberay, you may check “Getting Started with KubeRay”.
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