CI/CD Testing
Merge requests are the central quality gate in GitLab's workflow. Code doesn't reach the main branch until it passes review — but human review catches logical problems, not regressions. The automated tests in your CI pipeline are what prevent working code from breaking existing functionality. GitLab provides
CI/CD Testing
Deploying software isn't a single event — it's a series of progressively higher-stakes environments, each with different testing requirements. Code that passes unit tests in CI needs to prove itself in integration environments, staging, and finally production. GitLab's environments feature tracks these deployments and
CI/CD Testing
A broken CI pipeline blocks your entire team. When .gitlab-ci.yml has a syntax error or a job misconfiguration, every developer pushing to a branch hits the same failure until someone fixes it. The obvious solution — test your pipeline configuration before pushing — is less obvious to execute without the
CI/CD Testing
A test suite that takes 45 minutes to run sequentially can run in 5 minutes when split across 10 parallel jobs. GitLab CI's parallel keyword and matrix jobs provide the infrastructure for this — but making parallel testing work well requires thinking carefully about how you split your tests
API Testing
Postman collections are useful for manual API testing. Newman — Postman's command-line runner — makes those same collections run in CI/CD. Every push triggers the full API test suite, reports go into your build artifacts, and failures block merges. This guide covers setting up Newman in CI/CD: