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Kubernetes Manifest Visualizer

Paste one or more Kubernetes YAML resources and review kind, name, namespace, labels, and spec summaries.

Examples

Kubernetes YAML

Manifest treeReady

Paste one or more Kubernetes YAML resources and review kind, name, namespace, labels, and spec summaries.

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Move this preview into a nearby workflow for conversion, debugging, or export.

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How to use

1Paste one or more Kubernetes YAML manifests into the editor.
2Review resource kind, namespace, labels, selectors, container images, ports, and ingress routes.
3Check that Service selectors match Pod template labels before applying changes.
4Inspect risky fields such as image tags, env vars, resource limits, probes, and hostPath volumes.
5Export the visualization for release notes, PR review, or onboarding docs.

Common use cases

Kubernetes YAML reviewDeployment and Service inspectionIngress route documentationRelease manifest reviewAI-generated manifest validation

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FAQ

Does this tool use AI?

No. It parses and visualizes the source locally in the browser.

Can this prove a Kubernetes manifest will deploy successfully?

No. It helps review structure and relationships. Use kubectl, policy checks, and cluster validation for final deployment confidence.

What Kubernetes mistakes are easiest to spot visually?

Selector and label mismatches, wrong namespaces, surprising image tags, missing probes, exposed ports, and risky volume mounts are easier to catch in a resource tree.

Kubernetes Manifest Visualizer turns YAML manifests into readable resource trees for Deployments, Services, Ingress, ConfigMaps, labels, selectors, and namespaces.

Use it before release review to inspect image tags, ports, probes, resource limits, selectors, and routing assumptions without reading a long manifest line by line.

The tool supports documentation and review workflows; final deployment validation should still happen with Kubernetes-native commands and policy checks.

Demo: inspect a Deployment and Service together

Kubernetes YAML is easier to review when resources are grouped by namespace, labels, selectors, and exposed ports. The preview helps catch mismatched labels before kubectl apply.

Compare Service selectors with Pod template labels.
Check image tags and pull policies during release review.
Inspect resource requests and limits next to replica counts.

apiVersion: apps/v1
kind: Deployment
metadata:
  name: api
spec:
  selector:
    matchLabels: {app: api}
  template:
    metadata:
      labels: {app: api}

Release checklist: find risky manifest changes

A manifest visualizer should surface production-sensitive fields first: ingress hosts, service type, image tags, probes, secrets, and resources.

Treat LoadBalancer and NodePort changes as exposure changes.
Verify liveness and readiness probes before increasing replicas.
Do not paste real secret values into public tools.

service.type: ClusterIP -> LoadBalancer
image.tag: 1.8.2 -> latest
resources.limits.cpu: 500m

Debug pattern: selectors before containers

When a Service has no endpoints, the container image is often not the first thing to inspect. Start by comparing Service selectors with Pod template labels.

Check metadata.labels and spec.selector side by side.
Confirm namespace consistency for related resources.
Review targetPort names when Services reference named container ports.

Service selector: app=checkout
Pod labels: app=checkout-api
Result: Service has no matching endpoints

Review checklist for Kubernetes Manifest Visualizer

Use Kubernetes Manifest Visualizer when you need to inspect source content visually before it becomes documentation, a pull request note, an incident write-up, or a handoff artifact. Inspect Kubernetes manifests as resource trees for deployments, services, ingress, labels, and namespaces.

Before exporting, check that labels are readable, relationships match the source, generated examples do not contain private data, and the preview still makes sense after you edit the input.

Limits and troubleshooting

If the preview fails, reduce the input to the smallest complete example, confirm the format syntax, and then add sections back one at a time. Many rendering failures come from partial files, indentation mistakes, missing diagram headers, or copied snippets that depend on hidden context.

Treat the preview as a review surface rather than a source of truth. Generated diagrams, converted files, dashboards, and rule examples should be checked before they are used in production documentation or operations.

Example inputs to test

Deployment: apiVersion: apps/v1 kind: Deployment metadata: name: diagram-preview namespace: production labels: app: diagram-preview spec: replicas: 3 selector: matchLabels: app: diagram-previe...
Service: apiVersion: v1 kind: Service metadata: name: diagram-preview labels: app: diagram-preview spec: type: ClusterIP ports: - port: 80 targetPort: 3000
Ingress: apiVersion: networking.k8s.io/v1 kind: Ingress metadata: name: diagram-preview spec: rules: - host: diagrampreview.com http: paths: - path: / pathType: Prefix

Tool maturity

Basic parser

This tool focuses on fast structure inspection. Use it for review and debugging, then verify critical output before production use.

The maturity label is not a quality score. It tells visitors whether the tool is best for stable export, deeper debugging, quick parsing, or AI-assisted generation.