| A mid-sized fintech company was experiencing bottlenecks in their CI/CD pipeline.
Build times had grown to over 4 hours, and deployments frequently failed
due to inconsistent environments and manual QA steps. |
| The goal was to streamline the CI/CD process to achieve sub-15-minute builds,
improve deployment success to excess of 95%, reducing reliance on manual QA
by automating at least 80% of regression tests. |
| We implemented a containerized build system using Docker and introduced parallelized
workflows in GitHub Actions. Test coverage reports were integrated directly into pull requests.
Deployment testing ranged from backend to frontend, based on the code committed.
By building QA and Ready for Business tests together, we streamlined the ability to report on health. |
| Build times dropped to an average of 11 minutes.
Deployment failures were reduced significantly, and deployment success was raised to 98%,
and a full 93% of regression test coverage was achieved through automation. |
| The team recouped over 55 engineering hours per week, enabling more focus on feature development.
Releases shifted from biweekly to weekly, allowing faster time-to-market. |
| This engagement demonstrated how tactical DevOps enhancements can yield rapid, measurable returns.
The company now uses the new workflow as a standard across all engineering teams. |