k8sgpt-operator  by k8sgpt-ai

Kubernetes operator for managed K8sGPT workloads

created 2 years ago
385 stars

Top 75.5% on sourcepulse

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Project Summary

This project provides a Kubernetes Operator to automate the deployment and management of K8sGPT, an AI-powered tool for Site Reliability Engineering (SRE) within Kubernetes clusters. It enables users to define K8sGPT's behavior and scope via custom resources, integrating analysis outputs into existing workflows.

How It Works

The operator leverages Kubernetes Custom Resource Definitions (CRDs) to manage K8sGPT instances. Users define a K8sGPT resource specifying AI backend (OpenAI, Azure OpenAI, Amazon Bedrock, LocalAI), model, and configuration. The operator then deploys K8sGPT pods, which analyze cluster resources and generate insights. It supports remote cluster monitoring via kubeconfig secrets and integrates with caching solutions like Interplex, Azure Blob Storage, and S3 for performance and data management.

Quick Start & Requirements

  • Install: helm install release k8sgpt/k8sgpt-operator -n k8sgpt-operator-system --create-namespace
  • Prerequisites: Kubernetes cluster, Helm, OpenAI API key (or other AI backend credentials), kubectl.
  • Setup: Minimal, primarily involves Helm installation and secret creation.
  • Docs: Installation, Configuration Options

Highlighted Details

  • Supports multiple AI backends including OpenAI, Azure OpenAI, Amazon Bedrock, and LocalAI.
  • Enables multi-cluster monitoring by providing remote kubeconfig secrets.
  • Integrates with distributed caching systems (Interplex, Azure Blob, S3) for enhanced performance.
  • Allows configuration of AI model, language, anonymization, and output sinks (e.g., Slack, Mattermost).

Maintenance & Community

  • Project appears actively maintained with regular updates.
  • Community channels and roadmap links are not explicitly provided in the README.

Licensing & Compatibility

  • The README does not explicitly state the license. It mentions a link to "License" at the end, which is not provided.

Limitations & Caveats

  • The specific license is not detailed, which may impact commercial use.
  • The README mentions that Cluster API-generated kubeconfigs grant cluster-admin permissions, suggesting a need for more restricted kubeconfigs for least-privilege environments.
Health Check
Last commit

1 week ago

Responsiveness

1 week

Pull Requests (30d)
6
Issues (30d)
3
Star History
23 stars in the last 90 days

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