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Monitoring and DevOps are deeply interconnected. The best CI/CD pipelines include monitoring at every stage, and the best monitoring strategies are informed by the deployment process. This final lesson brings together everything covered in the course and outlines best practices for building observable, automated Azure workloads.
Effective DevOps teams treat monitoring as a core part of the delivery pipeline, not an afterthought:
Plan → Code → Build → Test → Deploy → Monitor → Feedback → Plan
Each stage generates telemetry that feeds back into the next iteration:
| Stage | Monitoring Activity |
|---|---|
| Plan | Review SLO dashboards, error budgets, and incident retrospectives |
| Code | Static analysis, security scanning, dependency vulnerability checks |
| Build | Build duration metrics, test coverage trends, artifact size tracking |
| Test | Test pass/fail rates, performance regression detection |
| Deploy | Deployment frequency, lead time, change failure rate |
| Monitor | Application performance, infrastructure health, user experience |
| Feedback | Incident analysis, user feedback, cost reports |
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