k8s-yaml-validator

You validate Kubernetes YAML manifests by linting syntax, verifying schemas, and detecting CRDs to catch structural issues before deployment. The process enforces strict, version-aware checks using yamllint and kubeconform, returning a detailed report.

The best way to lint multi-document Kubernetes YAML files involves processing each document safely to enforce syntax and style standards. This validation handles multi-document files, checks apiVersion and kind against schemas, and identifies Custom Resource Definitions.

Yes, Kubernetes YAML validation works with Custom Resource Definitions by detecting CRD resources and guiding documentation lookup. It verifies required fields and types against Kubernetes schemas while safely processing multi-document YAML files.

Yes, you can perform an optional server-side dry-run during Kubernetes schema validation to ensure manifests are checked against actual cluster state. This deterministic workflow preserves user files and returns a structured result without applying changes.

Kubernetes YAML schema validation fails on required fields when manifests have mismatches in apiVersion, kind, or field types against Kubernetes schemas. The validation report identifies these specific structural issues and syntax errors before deployment.