Bridge the gap between code commits and business outcomes by building a sophisticated observability and traceability layer. This course empowers you to transform raw telemetry into actionable insights using Azure Monitor, Grafana, and OpenTelemetry. You will begin by constructing comprehensive pipeline-health dashboards that track critical DORA metrics—such as deployment frequency and MTTR—providing a clear view of your delivery velocity and stability.

The curriculum moves into the critical area of reliability, where you will use Python-based analysis to identify flaky-test trends and implement systematic de-flaking strategies to drive failure rates below 1%. You will also master end-to-end distributed tracing, learning to correlate live production requests directly back to the specific pipeline run and commit SHA that triggered them. By the end of this course, you will have engineered a full-stack observability solution capable of detecting performance regressions in real-time and automating rollbacks when latency spikes. This is an essential program for SREs and DevOps leaders who aim to achieve 95% traceability and foster a data-driven engineering culture at scale.