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End-to-end delivery using Jenkins, GitLab CI and GitHub Actions, with automated testing, security scanning and deployment.
End-to-end CI/CD pipelines using Jenkins, GitLab CI and GitHub Actions, with automated testing, security scanning and deployment.
Manual releases are slow and inconsistent, and they make people reluctant to ship. A pipeline makes the safe path the easy path.
What a delivery pipeline has to guarantee.
The stages run from cheapest to most expensive, so most bad changes fail within minutes. Production is reached only by a digest that has passed every earlier gate.
Choosing between the three systems.
Start by automating the release exactly as it is performed today. Then shorten it, measuring each stage, and add gates one at a time so each failure has a clear cause.
Build once and promote the digest. Use a canary or blue-green rollout where failure is expensive, with automated analysis deciding whether to continue.
Dependency and image scanning block on fixable critical issues. OIDC federation replaces stored cloud keys, and protected environments require approval for production.
Treat the pipeline as a production system: track its duration and failure rate, and quarantine flaky tests quickly, because a pipeline nobody trusts gets bypassed.
Where pipelines usually go wrong.
No verified figures are published for this project. The numbers that would prove it worked: deployment frequency, lead time for changes, change failure rate and time to restore.