Kubernetes operator for managed K8sGPT workloads
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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
helm install release k8sgpt/k8sgpt-operator -n k8sgpt-operator-system --create-namespace
kubectl
.Highlighted Details
Maintenance & Community
Licensing & Compatibility
Limitations & Caveats
cluster-admin
permissions, suggesting a need for more restricted kubeconfigs for least-privilege environments.1 week ago
1 week