Testcontainers tests that run perfectly on your developer laptop can fail in CI for environmental reasons — Docker daemon availability, image pull timeouts, port conflicts, and resource limits. This final article covers production-ready CI/CD configuration for Testcontainers in GitHub Actions, GitLab CI, and Jenkins, plus Spring Boot 3.1’s development-time container support. What You’ll Learn GitHub Actions configuration for Testcontainers (zero extra setup on ubuntu-latest) GitLab CI configuration with Docker-in-Docker Jenkins configuration with Docker socket mounting TestApplication — running your app locally with containers instead of a real database .

The Liquibase commands covered in Articles 5 and 16 become reliable only when they run automatically on every change. A developer who remembers to run futureRollbackSQL before merging is better than one who doesn’t — but a pipeline that enforces it is better than both. This article builds a complete GitHub Actions pipeline: PR validation gates that block merges when rollback is missing, a staging deployment workflow, and a production deployment workflow with mandatory tagging and pre-generated rollback files.

Most stock screeners cost $30–$200 per month. Bloomberg Terminal costs $24,000 per year. I built something that does a meaningful fraction of what those tools do — analysing 220+ UK and US stocks every hour, scoring them across six dimensions, detecting bearish warning signals, running insider trading checks via SEC EDGAR, and presenting everything in a React PWA — at zero ongoing cost. The platform is live at share.devops-monk.com. The full source is at github.