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Kubernetes Service Topology Diagram

Visualize Ingress, Service, Deployment, and Pod relationships from Kubernetes YAML.

Examples
Detected Kubernetes YAML

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

How to use

  1. 1Examples: choose a starter example or paste your own source.
  2. 2Review the generated preview and adjust labels, conditions, or configuration details.
  3. 3Copy the source or export the rendered result when it is ready for documentation.

Common use cases

README and engineering design docsArchitecture reviews and API documentationAI-generated diagram validation before publishing

FAQ

Can I use this with AI-generated content?

Yes. Use AI for a first draft, then preview and adjust the result before publishing it in documentation.

Use this tool when you need a fast browser workflow for developer documentation, architecture notes, runbooks, API specs, and AI-generated diagrams.

Start with one of the examples, replace it with your own source, and keep the generated output next to the original text so changes stay reviewable.

For production documentation, export SVG or PNG when available and keep the source text in your repository for future edits.

Demo: map Ingress, Service, Deployment, and Pods

A Kubernetes topology diagram helps explain how traffic reaches pods. It is especially useful for debugging selector mismatches and unexpected exposure.

  • Start from Ingress or Gateway and follow traffic inward.
  • Compare Service selectors with Deployment pod labels.
  • Show namespaces when multiple teams share a cluster.
Ingress api.example.com -> Service api-svc:80 -> Deployment api -> Pods app=api

Debugging: selectors are the topology glue

Most topology surprises come from selectors and labels. If a Service has no endpoints, the diagram should push attention toward label matching before deeper networking theories.

  • Check spec.selector on Services.
  • Check metadata.labels on Pod templates.
  • Verify port targetPort names and numbers.
service.selector.app = api
pod.labels.app = api
service.targetPort = http
container.ports.name = http

Review checklist for Kubernetes Service Topology Diagram

Use Kubernetes Service Topology Diagram when you need to inspect source content visually before it becomes documentation, a pull request note, an incident write-up, or a handoff artifact. Visualize Ingress, Service, Deployment, and Pod relationships from Kubernetes YAML.

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

  • Web app: apiVersion: apps/v1 kind: Deployment metadata: name: web spec: selector: matchLabels: app: web template: metadata: labels: app: web spec: containers: - name: web image: example/web...
  • Ingress routing: apiVersion: apps/v1 kind: Deployment metadata: name: web spec: selector: matchLabels: app: web template: metadata: labels: app: web spec: containers: - name: web image: example/web...
  • Workers: apiVersion: apps/v1 kind: Deployment metadata: name: worker spec: template: metadata: labels: app: worker spec: containers: - name: worker image: example/worker:1.0 --- apiVersion:...

Tool maturity

Advanced preview

Advanced parser

This tool extracts useful structure and relationships from developer input. Complex edge cases should still be checked against the source.

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.