Engineering teams lacked visibility into build performance and bottleneck causes across a complex Jenkins environment with hundreds of concurrent jobs.
Built a monitoring dashboard using Node.js that consumes Jenkins JSON APIs, processes job metadata, and provides actionable insights via visualization components.
Developed a custom aggregator to avoid putting unnecessary load on the Jenkins master, utilizing caching strategies to provide near-real-time updates.
Handling high-volume API responses and normalizing data from diverse build environments (Linux, Windows, Docker).