Initial Analysis
First things first -- we grabbed our magnifying glasses (metaphorically, of course) and analyzed the CI/CD process. Turns out, the build and test stages were slower than a snail on a lazy Sunday. Why? Monolithic scripts and inconsistent environments were dragging things down.
Lack of Testing
We quickly spotted another culprit: a severe case of 'release now, fix later' syndrome. Bugs were sneaking into production because pre-deployment testing was, well… let's say it was more of an afterthought.
Containerization
Time to bring in the big guns! We introduced Docker to ensure that developers weren't playing the 'it works on my machine' card anymore. Consistent build environments for everyone? Check!
Automated Tests
Remember those bugs? We gave them a tough time by implementing automated unit, integration, and end-to-end tests. Now, bad code doesn’t stand a chance!
Parallel Execution
Why wait for one test when you can run them all at once? We introduced parallel test execution, making the CI/CD pipeline faster than ever. Think Formula 1, but with code.
Automated Caching ⚡
Nobody likes waiting for things to load — including developers. We added caching strategies for dependencies and builds, cutting down build times. Because life’s too short to watch progress bars.
