Java Application Monitoring and Observability on Azure

Running Java applications in the cloud requires deep visibility to ensure performance and reliability. Without the right monitoring strategy, diagnosing bottlenecks and system failures can feel like searching for a needle in a haystack. This text-based course guides you from the absolute basics of cloud monitoring to implementing comprehensive observability for your Java workloads on Azure. You will learn how to collect critical telemetry data, analyze application health, and proactively resolve issues before they affect your users. What you'll learn: - Understand core observability concepts, including metrics, logs, and distributed tracing. - Configure Application Insights to automatically collect telemetry from your Java services. - Implement modern OpenTelemetry standards for vendor-neutral monitoring instrumentation. - Analyze live application performance data and JVM metrics to detect memory leaks and bottlenecks. - Set up structured logging and distributed tracing to follow requests across microservices. - Create custom alerts to monitor system health and respond to incidents in real-time. You will begin with foundational terminology and core monitoring concepts before moving into step-by-step written guides on configuring Azure-native tools. Through practical text-based explanations and written configuration exercises, you will learn to instrument Java code, set up performance alerts, and interpret diagnostic data. This course is designed for beginner Java developers, system administrators, and cloud newcomers who want to learn application monitoring on Azure. No prior cloud monitoring experience is required. Start reading today to build reliable, observable Java applications in the cloud.