Check your own pipeline

Upload your YAML and we will compare it against the map below — MVP step coverage, what is missing and the usual anti-patterns. Multiple files including templates are fine.

🔒 Runs locally in your browser, nothing is uploaded

Drop your pipeline files here or

azure-pipelines.yml · .github/workflows/*.yml · .gitlab-ci.yml · Jenkinsfile

…or paste the contents instead
Your MVP coverage: 0 of 0 steps 0 %
Feedback closes the loop. What production tells you — incidents, new CVEs in running images, drift in the cluster — has to come back to the start as work for developers. A pipeline with no return path only pushes problems into production.

Pick a step in the pipeline above — you will get the reasoning, the risk and a configuration example.

Three principles the MVP rests on

Tools change, principles do not. When you design a pipeline from scratch, hold on to these three — the rest can be added later.

Build once, deploy many

The artefact is built once and the same one travels through dev, test and production. The moment you rebuild for every environment, what you deploy to production is not what you tested.

Immutable artefact identity

Tag images with the git SHA, not latest. That is the only way to know which commit is running in production — and the only way rollback and incident forensics mean anything.

A gate, not a report

A scan that only prints findings to a log protects nobody. Measure and report first, then set a firm threshold and let the pipeline fail. Without that, security is optional.

Missing more than a couple of steps?

We design and implement CI/CD pipelines for enterprise environments — Azure DevOps, Kubernetes, GitOps and security gates teams actually use.

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