DevOps Lifecycle

The DevOps lifecycle is usually drawn as an infinity loop rather than a straight line, because it never really ends — monitoring data from production feeds straight back into planning for the next change. Each phase has its own tooling: source control and issue tracking for plan/code, CI pipelines and automated test suites for build/test, CD pipelines and infrastructure-as-code for release/deploy, and observability platforms for operate/monitor. What makes it 'DevOps' rather than just automation is the collaboration model behind it: development and operations teams share ownership of reliability instead of throwing builds over a wall. Automation removes manual handoffs, shortens the feedback loop between writing code and seeing its production impact, and makes small, frequent releases safer than large, infrequent ones. Organizations adopting the DevOps lifecycle typically see fewer failed deployments, faster mean-time-to-recovery (MTTR), and shorter lead time for changes — the four key DORA metrics used to benchmark DevOps performance. CertScope's DevOps Foundation training covers the full lifecycle, the tool categories at each stage, and how CI/CD and site reliability engineering practices fit together.