Troubleshoot DataSurface Yellow Kubernetes Job Failures

To diagnose Kubernetes job failures, use kubectl to check job status with `kubectl get jobs` and review logs with `kubectl logs job/<name>`. You can also run `kubectl describe job` to surface Kubernetes events and identify specific failure points like missing secrets or config errors.

Kubernetes init jobs often fail due to missing credentials, invalid secrets, or configuration errors. Use `kubectl logs job/<name>` to review the container output and `kubectl describe job` to inspect Kubernetes events for specific anomalies preventing successful completion.

The best way to rerun a failed Kubernetes job is to delete the failed job using `kubectl delete job <name>` and then recreate it by applying the job manifest with `kubectl apply -f`. Verify the new job completes successfully by checking its status and logs.

Yes, you can use kubectl to troubleshoot DataSurface merge and reconcile jobs. The process involves checking job status with `kubectl get jobs`, reviewing logs with `kubectl logs`, and interpreting Kubernetes events via `kubectl describe` to isolate and fix failures across multiple job types.

When Kubernetes job logs show authentication errors, you should verify that the required secrets and credentials are properly configured in your namespace. Use `kubectl describe job` to check for secret mount issues, fix the credentials configuration, and safely rerun the workload.

Troubleshooting Kubernetes jobs does not always require manually editing manifests. You can often resolve failures by checking job status, reviewing logs, and using `kubectl delete` followed by `kubectl apply` to recreate the job from existing generated output files after fixing underlying config issues.