K8s Deployment Validator Skill

You validate a Kubernetes deployment by generating a checklist and running kubectl commands to inspect pods, services, deployments, and logs. This skill automates that process, including port-forward and curl health checks, to produce a structured validation report.

Automating pod log checks and health endpoint validation is best done by executing kubectl commands to analyze startup messages and using port-forward with curl to test connectivity. This skill automates these steps to detect errors across frontend, backend, and chatbot components.

Yes, you need kubectl access to a Kubernetes cluster to validate deployments. This skill requires kubectl to inspect resources, analyze logs, and perform port-forwarding for live health checks and end-to-end connectivity testing.

Yes, you can test microservices connectivity by using kubectl port-forward to expose frontend and backend services locally, then running curl against their health endpoints. This skill automates these connectivity tests and validates functionality across typical microservice architectures.

An automated deployment validation checklist works by systematically executing kubectl commands to inspect deployments, replicas, and logs, then verifying health endpoints. This skill generates and executes this checklist to identify errors and confirm component functionality.

Kubernetes pods may fail startup due to configuration errors or application faults. This skill helps identify the cause by analyzing pod logs and startup messages via kubectl, detecting errors or warnings within your frontend, backend, and chatbot components.