Troubleshoot DataSurface Yellow Kubernetes Job Failures

Diagnose and fix DataSurface Yellow Kubernetes job failures using kubectl.

2|Updated Jan 31, 2026

Search Tags:#troubleshooting #Kubernetes #kubectl #diagnose #jobs #DataSurface

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npx skills add https://github.com/datasurface/demo1 --skill troubleshoot-datasurface-yellow-kubernetes-job-failures-datasurface

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Please help me install this Agent Skill.
Skill: Troubleshoot DataSurface Yellow Kubernetes Job Failures
Source: https://github.com/datasurface/demo1/tree/main/.claude/skills/troubleshoot-k8s-jobs
Command: npx skills add https://github.com/datasurface/demo1 --skill troubleshoot-datasurface-yellow-kubernetes-job-failures-datasurface

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This guide helps diagnose and resolve failures in DataSurface Yellow Kubernetes jobs (init, merge, reconcile), reducing downtime and manual debugging effort.

Core Features & Use Cases

Diagnosis workflow: quickly check job status and access logs to identify failure points.
Event-based troubleshooting: use kubectl describe to surface Kubernetes events and anomalies.
Remediation & reruns: concrete steps to recreate failed jobs, fix credentials or config, and safely rerun workloads.
Use Case: when demo-psp-init or demo-psp-model-merge-job fails, follow the guide to isolate the issue, apply the fix, and verify completion.

Quick Start

Run these starter commands to begin troubleshooting:

kubectl get jobs -n $NAMESPACE
kubectl logs job/demo-psp-ring1-init -n $NAMESPACE
kubectl logs job/demo-psp-model-merge-job -n $NAMESPACE
kubectl describe job demo-psp-model-merge-job -n $NAMESPACE
kubectl delete job demo-psp-model-merge-job -n $NAMESPACE
kubectl apply -f generated_output/Demo_PSP/demo_psp_model_merge_job.yaml

Frequently Asked Questions about Troubleshoot DataSurface Yellow Kubernetes Job Failures

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I diagnose Kubernetes job failures using kubectl?▼

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.

Why does my Kubernetes init job fail to complete successfully?▼

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.

What is the best way to rerun a failed Kubernetes job after fixing the issue?▼

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.

Can I use kubectl to troubleshoot DataSurface merge and reconcile jobs?▼

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.

What should I check when Kubernetes job logs show authentication or secret errors?▼

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.

Does troubleshooting Kubernetes jobs require manually editing deployment manifests?▼

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.