Implementing Azure Monitor and KQL for Application Flow Tracking

Modern cloud applications require deep visibility to remain performant, reliable, and user-friendly. Understanding how users navigate your application and where bottlenecks occur is crucial for continuous improvement. This course guides you through setting up comprehensive telemetry and application tracking using Azure's powerful monitoring ecosystem. You will learn to collect, analyze, and act on telemetry data, transforming raw system logs into actionable insights about application health and user behavior. What you'll learn: - Understand core observability principles, telemetry types, and cloud monitoring architecture. - Configure Azure Monitor and Application Insights to capture custom events, page views, and dependency calls. - Write Kusto Query Language (KQL) queries to extract meaningful performance and usage trends from Log Analytics. - Analyze user behavior patterns, session flows, and retention metrics to optimize the user experience. - Implement modern structured logging and alert rules to proactively detect and troubleshoot application issues. The course begins with foundational concepts of cloud monitoring and telemetry before guiding you through the step-by-step configuration of Azure tracking tools. You will then progress to writing queries and building monitoring workflows to analyze live application traffic. This program is designed for developers, system administrators, and cloud beginners who want to master application monitoring without prior telemetry experience. Start reading today to gain complete visibility into your cloud applications.