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Kubernetes Runtime Diagnostics Analyzer

Normalize a Kubernetes runtime support bundle locally, identify CrashLoopBackOff, ImagePullBackOff, OOMKilled, FailedScheduling, probe and dependency failures, then generate a timeline and read-only commands.

Cluster objects and logs are analyzed only in this browser
The tool never connects to a cluster or runs kubectl. Secrets, tokens, authentication headers and credential-like text are masked in exports.

Runtime support bundle

Resources: 10 MiB and 5,000 objects. Describe and logs: 5 MiB each, with up to 50,000 log lines.

Load a sample or add runtime evidence

Pods, containers, Events, an incident timeline, diagnostics and read-only troubleshooting commands will appear here.

Offline analysis cannot observe live state, controller behavior, network dataplane or cloud-provider events and does not replace in-cluster diagnostics.

About Kubernetes Runtime Diagnostics Analyzer

Analyze Pods, Events, describe output and container logs together. Normalize a Kubernetes runtime support bundle locally, identify CrashLoopBackOff, ImagePullBackOff, OOMKilled, FailedScheduling, probe and dependency failures, then generate a timeline and read-only commands. The core workflow is designed to run in your current browser.

Key capabilities

  • Read Pods, Lists, Events, Nodes, PVCs, describe output and logs
  • Identify common startup, image, memory, scheduling, volume and probe failures
  • Combine Events and container termination states into an incident timeline
  • Generate a sanitized support bundle and read-only kubectl commands that are never executed

Useful for

  • Quickly triage Pending, CrashLoopBackOff and OOMKilled workloads
  • Explain FailedScheduling, resource pressure, taints and PVC problems
  • Share sanitized evidence and reproduction commands with a platform team or vendor

Frequently asked questions

Is Kubernetes Runtime Diagnostics Analyzer free to use online?

Yes. Kubernetes Runtime Diagnostics Analyzer opens in a modern browser and does not require desktop software installation.

What is Kubernetes Runtime Diagnostics Analyzer useful for?

Common use cases include Quickly triage Pending, CrashLoopBackOff and OOMKilled workloads; Explain FailedScheduling, resource pressure, taints and PVC problems.

Is my input or file uploaded?

The core processing workflow is designed to run locally in the browser. Key capabilities include Read Pods, Lists, Events, Nodes, PVCs, describe output and logs, Identify common startup, image, memory, scheduling, volume and probe failures, Combine Events and container termination states into an incident timeline; account, comments, and anonymous analytics may still create normal site requests.

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