Automate Kubernetes cluster management by deploying, scaling, monitoring, troubleshooting resources, and managing configurations efficiently.
# kubernetes-automation Kubernetes cluster management and automation for AI agents. Deploy, scale, monitor, and troubleshoot K8s resources effortlessly. ## Overview A comprehensive Kubernetes assistant that helps agents manage clusters, deploy applications, and handle common K8s operations. ## Features - **Resource Deployment**: Deploy pods, deployments, services, and more - **Scaling Operations**: Scale deployments, manage replicas - **Health Monitoring**: Check pod status, resource usage, events - **Troubleshooting**: Diagnose failed pods, debug issues - **Config Management**: Manage configmaps, secrets, namespaces - **Service Mesh**: Work with Istio, Linkerd configurations - **Backup/Restore**: Export and import cluster state ## Commands ### Deploy Application ``` deploy app from deployment.yaml to production namespace ``` ### Check Status ``` get pod status in production namespace ``` ### Scale Deployment ``` scale my-app to 5 replicas ``` ### Debug Issue ``` debug pod crash in default namespace ``` ## Use Cases - Kubernetes deployment automation - Cluster health monitoring - Application scaling - Troubleshooting pod failures - Configuration management - DevOps workflow automation ## Requirements - kubectl configured - Kubernetes cluster access - Optional: Helm, Kustomize
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