
Kubernetes SRE in a box: Giving Kubernetes superpowers to everyone through automated AI-driven cluster diagnostics.

K8sGPT is a CNCF Sandbox project designed to democratize Kubernetes site reliability engineering. By leveraging Large Language Models (LLMs), K8sGPT provides a specialized layer of intelligence that sits atop standard Kubernetes clusters to scan, diagnose, and remediate issues in plain English. The technical architecture consists of a series of modular 'Analyzers' that extract relevant cluster state data—such as Pod logs, Service configurations, and Ingress rules—and filter them through a robust anonymizer to ensure PII and sensitive data never leave the environment. In the 2026 landscape, K8sGPT has evolved into the industry standard for 'Self-Healing Clusters,' integrating natively with major AI providers like OpenAI, Anthropic, and local-first solutions like Ollama. Its ability to correlate Prometheus metrics with LLM-driven root cause analysis allows it to transition from a simple CLI tool to a continuous reconciliation operator. It addresses the complexity gap in cloud-native ecosystems by transforming cryptic Kubernetes error codes into actionable remediation playbooks, significantly reducing Mean Time to Repair (MTTR) for platform engineering teams.
K8sGPT is a CNCF Sandbox project designed to democratize Kubernetes site reliability engineering.
Explore all tools that specialize in security vulnerability analysis. This domain focus ensures K8sGPT delivers optimized results for this specific requirement.
Filters sensitive data like IPs, Secrets, and PII from cluster manifests before sending them to external AI backends.
Native integration with OpenAI, Azure AI, Anthropic, Cohere, and local-hosting via LocalAI or Ollama.
Combines vulnerability scanning with AI to explain security risks and provide patching instructions.
A controller that continuously reconciles cluster state and maintains up-to-date Analysis reports as CRDs.
Analyzers can query Prometheus metrics to correlate performance spikes with configuration errors.
Supports S3, Azure Blob, or GCS to store analysis results for historical comparison.
Extensible Go-based framework for writing logic that targets specialized CRDs or internal business logic.
Install the K8sGPT CLI using Homebrew or binary download.
Authenticate with your preferred AI provider (e.g., k8sgpt auth add --backend openai).
Configure the anonymizer to mask sensitive cluster data before processing.
Run your first cluster scan using 'k8sgpt analyze'.
Use the --explain flag to generate human-readable remediation steps for found issues.
Deploy the K8sGPT Operator into your cluster for continuous monitoring.
Configure Custom Resource Definitions (CRDs) for automated reports.
Integrate with Prometheus to enable metric-aware diagnostics.
Setup integrations for Slack or MS Teams to receive real-time AI alerts.
Define custom analyzers in Go to support proprietary resource types.
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Verified feedback from other users.
"Highly praised for its ease of use and the immediate value it adds to DevOps workflows. Users love the privacy-first approach of the anonymizer."
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