CI/CD and Centralized Logging for a Video Streaming Service

Added Jun 2025 3 design docs

Media streaming services live or die by uptime and release velocity: viewers abandon platforms that buffer or break, and engineering teams that deploy manually cannot ship fixes fast enough. This project has the intern build the delivery backbone for a streaming platform, so every code change moves from commit to production through a repeatable, observable pipeline. The intern designs a Jenkins CI/CD pipeline that compiles, tests, and packages the application into Docker images, then deploys those containers to a Kubernetes cluster with rolling updates so releases never interrupt playback. Because a streaming stack spans many services, the project adds centralized observability with the ELK Stack: Logstash ingests logs from every container, Elasticsearch indexes them for fast querying, and Kibana dashboards let engineers trace errors and traffic patterns across the whole system in one place. The finished pipeline demonstrates skills that platform and site reliability teams hire for directly: writing pipeline-as-code, containerizing services, managing Kubernetes deployments, and building the logging infrastructure that turns scattered container output into actionable operational insight.

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