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Microsoft

Advanced Azure Monitoring & Reliability

Microsoft via edX

Overview

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The Advanced Azure Monitoring & Reliability course is built for professionals who want to move beyond basic monitoring into proactive resilience engineering and governance. Modern cloud environments demand not only visibility but also automated responses and strategic reliability planning.

Learners will begin by orchestrating unified data ingestion with the Azure Monitor Agent and Data Collection Rules, ensuring telemetry flows seamlessly into Log Analytics. From there, the course emphasizes advanced diagnostic querying with Kusto Query Language (KQL), enabling real-time correlation of distributed traces and exceptions.

Governance is addressed through Service Level Objectives (SLOs) and error budgets, teaching participants how to translate reliability metrics into actionable release decisions. The curriculum then explores autonomous incident response with the Azure SRE Agent, followed by proactive resilience testing through chaos experiments in Azure Chaos Studio.

Finally, learners will integrate Azure Advisor’s reliability recommendations into a continuous improvement workflow, ensuring best-practice governance and measurable progress. By the end, participants will be prepared to lead monitoring and reliability initiatives that align with enterprise standards and modern Site Reliability Engineering (SRE) practices.

Syllabus

● Orchestrate Unified Data Ingestion: Configure the Azure Monitor Agent (AMA) and Data Collection Rules (DCR) to centralize telemetry in Log Analytics.

  • Perform Advanced Diagnostic Querying: Write complex KQL queries to correlate traces, exceptions, and latency in real time.
  • Apply SLO-Based Governance: Define Service Level Objectives and calculate error budget burn rates to guide release decisions.
  • Deploy Autonomous Incident Response: Automate triage, root cause analysis, and mitigation with the Azure SRE Agent and Response Plans.
  • Engineer Proactive Resilience: Design and execute chaos experiments to validate failover mechanisms and circuit breakers.
  • Manage Best-Practice Governance: Integrate Azure Advisor recommendations into continuous improvement workflows and track progress via Advisor Score.

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