Analyzing App Telemetry with Azure Application Insights

Modern applications generate vast amounts of data, but understanding that data is key to maintaining system health and reliability. If you want to proactively detect failures and understand how your software behaves in production, mastering application telemetry is essential. This text-based course guides you from telemetry novice to a confident analyst capable of monitoring and troubleshooting cloud applications. You will learn how to read, interpret, and act on logs, metrics, and distributed traces to keep your applications running smoothly. In this course, you will: 1. Understand foundational telemetry concepts, including the differences between logs, metrics, and traces. 2. Query application data using Kusto Query Language (KQL) to isolate errors and performance anomalies. 3. Monitor application health and track custom metrics for specialized workloads, including AI-driven services. 4. Analyze distributed tracing data to pinpoint latency and bottlenecks across microservices. 5. Configure alerts and dashboards to maintain continuous operational visibility. 6. Apply modern observability practices to troubleshoot real-world application failures systematically. The course begins with essential terminology and the core principles of observability, then transitions into practical querying techniques and monitoring strategies. You will progress through structured text explanations and written scenarios designed to build your troubleshooting skills. This course is designed for beginner developers, system administrators, and cloud enthusiasts who want to learn application monitoring from scratch. No prior experience with telemetry tools or Azure is required. Start reading today to gain deep visibility into your application's performance and health.