K8sGPT

K8sGPT is a Kubernetes scanning tool that explains cluster errors in plain English using AI backends.

K8sGPT is an open source tool that scans Kubernetes clusters to diagnose issues and explain them in plain English. It features twenty-three built-in analyzers to detect cluster problems and supports fourteen artificial intelligence backends, including cloud and local options like Ollama and OpenAI. Users can run it via a command line interface, an in-cluster operator, or a model context protocol server. The operator supports automated tasks such as watching, recording, notifying team channels, and remediation based on a risk threshold. It also includes data anonymization features to mask names and identifiers before sending prompts to external backends.

K8sGPT at a glance

Best for: Software engineer
Runs on: CLI, operator, open source
Pricing: 100% open source, Apache 2.0
Released: March 2023
Category: AI coding tool
Website: k8sgpt.ai

Key features

Scan Kubernetes clusters with built-in analyzers
Explain errors in plain English
Run as a command line interface, operator, or server
Anonymize names and identifiers before sending prompts
Support local artificial intelligence backends
Integrate with Trivy, Prometheus, Kyverno, Keda, and AWS
Execute automated remediation with risk thresholds

Use it for

Diagnose broken Kubernetes pods and services
Triage cluster errors in the terminal
Automate cluster monitoring and notifications
Run air-gapped diagnostics with local backends

Alternatives to K8sGPT

Garak — It checks large language models for hallucinations, data leakage, and prompt injections.
Kite — Manage multiple Kubernetes clusters and workloads from a single open-source workspace.
New Relic — Unified visibility across applications, infrastructure, and AI models.
Genkit — Provides unified APIs and local developer tools for AI application workflows.
HolmesGPT — It monitors infrastructure 24/7 and proactively identifies issues.
Gspot — Stops bad code, type errors, and leaked keys before commits happen.
Tusk — Generates tests from production traffic to catch regressions in PRs.
jevgrep — Reduces coding agent costs by providing targeted, relevant repository context.
kubectl-ai — Translates natural language directly into precise Kubernetes operations.
Goast — Pinpoints the root cause of production errors and generates pull requests instantly.
PentAGI — It autonomously manages penetration testing workflows within a secure Docker sandbox.
DocsGPT — Open source code allows for transparent development and customization.

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