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Validate Kubernetes YAML manifests for syntax correctness, verify resource definitions (Pods, Services, Deployments), check API version compatibility, validate resource schemas, detect common Kubernetes configuration errors, and provide detailed validation reports.
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All checks passed for v1.30
Common questions about this tool
Upload or paste your Kubernetes YAML manifest. The validator checks YAML syntax, verifies resource definitions (Pods, Services, Deployments, etc.), validates API versions, checks resource schemas, detects configuration errors, and provides detailed validation reports.
The validator supports all Kubernetes resource types including Pods, Services, Deployments, ConfigMaps, Secrets, Ingress, StatefulSets, DaemonSets, Jobs, CronJobs, and custom resources. It validates each resource according to Kubernetes API specifications.
The validator supports multiple Kubernetes API versions including v1, apps/v1, networking.k8s.io/v1, and others. It checks API version compatibility and validates resource schemas according to the specified API version.
The validator detects YAML syntax errors, invalid resource definitions, missing required fields, incorrect field values, API version mismatches, schema violations, and common configuration mistakes that would cause deployment failures.
Yes, you can validate multiple resources separated by '---' (YAML document separator). The validator processes each resource individually and provides validation results for all resources in the file.
Verified content & sources
This tool's content and its supporting explanations have been created and reviewed by subject-matter experts. Calculations and logic are based on established research sources.
Scope: interactive tool, explanatory content, and related articles.
ToolGrid — Product & Engineering
Leads product strategy, technical architecture, and implementation of the core platform that powers ToolGrid calculators.
ToolGrid — Research & Content
Conducts research, designs calculation methodologies, and produces explanatory content to ensure accurate, practical, and trustworthy tool outputs.
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Learn what this tool does, when to use it, and how it fits into your workflow.
This tool checks a single Kubernetes YAML manifest for basic correctness. It parses the YAML, checks that required top-level fields exist, and runs simple checks for a few resource types (Deployment, Service, Pod, ConfigMap, Secret). It reports syntax and schema errors with line and column so you can fix them before applying the manifest to a cluster.
Invalid or incomplete manifests cause apply failures and wasted time. Finding missing fields or bad structure by hand is slow. This tool runs the checks as you edit and shows where each problem is. A related operation involves validating Helm charts as part of a similar workflow.
It is for developers and operators who work with Kubernetes YAML. You need basic knowledge of YAML and Kubernetes resources. No account or sign-in is required. For adjacent tasks, validating Docker Compose files addresses a complementary step.
Kubernetes resources are often written as YAML. Each manifest usually has apiVersion, kind, and metadata, plus a spec or data section depending on the resource type. The cluster rejects manifests that are invalid YAML or that miss required fields. Catching these errors before apply saves time and avoids failed deployments. When working with related formats, validating YAML syntax can be a useful part of the process.
This tool parses your input as YAML with a single-document parser. If the input has multiple documents separated by a line with three dashes, only the first document is validated. It then checks that the root is an object and that apiVersion, kind, and metadata are present and that metadata.name exists. For Deployments it checks for spec, spec.selector, and spec.template. For Services it checks for spec.ports when spec exists. For Pods it checks for spec.containers. For ConfigMap and Secret it checks that data, when present, is an object. It also checks that apiVersion looks like a valid format (for example group/version or v1). It does not validate against the full Kubernetes API schema; it only runs these basic checks. In some workflows, validating Dockerfiles is a relevant follow-up operation.
People struggle when the cluster returns a generic error or when the manifest is long. The tool reports the first set of problems with line and column when available so you know where to look. For related processing needs, validating JSON syntax handles a complementary task.
You are writing or editing a Deployment, Service, or Pod manifest and want to catch missing fields and YAML errors before running kubectl apply. You paste the YAML into the tool and fix any reported issues. You use the sample to see a minimal valid Deployment. Before applying a manifest from a doc or script, you paste it here to check syntax and basic structure. When an error is unclear, you use Get Fix to get an explanation and suggested YAML if the service is available.
The tool checks YAML syntax, root structure, and the presence of apiVersion, kind, metadata, and metadata.name. It runs basic checks for Deployment (spec, selector, template), Service (spec.ports), Pod (spec.containers), ConfigMap (data as object), and Secret (data as object). It warns when apiVersion does not match a simple group/version or v1 pattern. It does not validate against the full Kubernetes API schema. It does not check that resource names or labels are valid, that image names exist, or that the cluster will accept the manifest. For full validation use kubectl apply --dry-run=server or other Kubernetes tooling. Only one YAML document is validated; if you have multiple documents, only the first is used.
| Check | Done by this tool |
|---|---|
| YAML syntax (parse) | Yes |
| Root is object | Yes |
| apiVersion, kind, metadata present | Yes |
| metadata.name present | Yes |
| Deployment: spec, selector, template | Yes |
| Service: spec.ports | Yes |
| Pod: spec.containers | Yes |
| ConfigMap/Secret: data is object | Yes |
| apiVersion format (warning) | Yes |
| Multiple documents (---) | Only first document validated |
| Full Kubernetes API schema | No |
| Server-side dry-run | No |
Keep the manifest under 500KB and 10,000 lines. Use the sample to see a valid structure. Ensure the root is a single YAML object with apiVersion, kind, and metadata at the top level. For multi-resource files, validate one document at a time or split the file.
The tool does not connect to a cluster. It does not check that the Kubernetes server will accept the manifest. Use kubectl apply --dry-run=server for server-side validation when possible. The version selector does not change validation rules; it is for reference only.
Get Fix sends your YAML and the error message to a backend service. Do not use it with secrets or sensitive data. If the service fails, use the error message and line and column to fix the problem by hand.
We’ll add articles and guides here soon. Check back for tips and best practices.
Summary: Validate Kubernetes YAML manifests for syntax correctness, verify resource definitions (Pods, Services, Deployments), check API version compatibility, validate resource schemas, detect common Kubernetes configuration errors, and provide detailed validation reports.