K8sGPT

K8sGPT is a Kubernetes utility that scans your Kubernetes clusters, diagnoses and triages issues in simple English. It codifies SRE experience into its analyzers and uses AI to pull out the most relevant information to enrich insights. It connects to scanners like Trivy for CVE review and works across CNCF-conformant Kubernetes clusters. Get it now to work smarter, not harder.

What it does

• Workload health analysis: Find critical issues with your workloads.
• Humans in the loop: Translates complex signals into easy-to-understand recommendations.
• Fast triage, AI analysis: Get a quick glance of your cluster or deep AI-driven analysis.
• Security CVE review: Integrates with scanners (e.g., Trivy) to triage CVEs.
• Compatibility: Works on all CNCF-conformant Kubernetes clusters, tested up to N-2 releases.
• Codified SRE knowledge: Analyzers search for common problems based on established SRE practices.
• AI-assisted prioritization: AI backends help filter noise and highlight the most relevant issues.
• Local-first and scalable: Designed to support both quick checks and in-depth investigations.

How it helps

• Accelerates incident response by surfacing the most impactful issues.
• Reduces cognitive load by translating complex cluster telemetry into actionable steps.
• Improves security posture by integrating CVE data into triage workflows.
• Keeps pace with Kubernetes releases by aligning with up-to-date SRE practices.

How to use

1. Connect K8sGPT to your Kubernetes cluster (and any scanners like Trivy you use).
2. Run workload health analysis to surface issues and bottlenecks.
3. Review AI-generated triage summaries and recommended actions.
4. Iterate fixes and re-run analyses to verify improvements.

Impressions

• Platform objective: Save support teams many hours by automating triage and guidance.
• Endorsements: Bartłomiej Płotka (Senior SWE, Google) and Anton Smith (Head Of Product, Spectro Cloud) highlight the promise of K8sGPT, including integration with LocalAI for local model execution.

Core Features

• AI-assisted cluster analysis with simple-English triage
• CVE review integration via scanners like Trivy
• Works with all CNCF-conformant Kubernetes clusters up to N-2 releases
• Codified SRE knowledge in specialized analyzers
• AI backends to cut through noise and prioritize issues
• Quick-glance cluster overview and in-depth AI-driven analysis
• Scalable for both small and large clusters
• Designed to stay current with Kubernetes releases