k8s-manifest-validatorlisted

# K8s Manifest Validator ## Prerequisites & Dependencies - Python 3.10+ (for YAML/JSON parsing) - `kubectl` for Kubernetes cluster interaction (optional, for validation) - `jq` for JSON parsing (optional) ## Execution Steps 1. **Parse the Kubernetes manifest**: Read the YAML or JSON file containing the Kubernetes resource definition. 2. **Validate required fields**: Check for essential fields like `apiVersion`, `kind`, `metadata.name`, and appropriate `spec` structure based on the resource type. 3. **Check resource constraints**: Validate CPU/memory requests and limits, replica counts, and service account settings. 4. **Generate validation report**: Output a structured report listing: - Valid fields and structures - Missing or invalid fields - Warnings for deprecated or recommended settings - Suggested fixes for common issues 5. **Optional kubectl dry-run**: If `kubectl` is available, run `kubectl apply --dry-run=client` to validate the manifest against the cluster's schema. 6. **Example output**: A validation report indicating the manifest is valid, or listing issues like missing `selector`, incorrect `apiVersion`, or improper `metadata` formatting. ```bash kubectl apply --dry-run=client -f manifest.yaml ```