Don't Let Jenkins Dictate Your Release Cadence: Architecture Decisions and Lessons from Building a Go DAG Scheduler Engine
Overview 2 AM. A ride-hailing platform’s release window just opened. Jenkins Master suddenly hits CPU 100%. The build queue backs up with 200+ tasks. The entire deployment pipeline is frozen. The ops team spent 40 minutes finding the root cause: a legacy project’s Git repo had 15GB of binary files stuffed in it. A single clone took 20 minutes, exhausting all of Master’s thread pool. This isn’t an isolated case. Jenkins is a fine CI tool, but when you have 120+ microservices with tangled deployment dependencies and need fine-grained control over concurrency and rollback ordering, Jenkins’s Stage model starts to crack....