Java Performance Tuning and Troubleshooting Guide

Writing Java code that works is only the first step; ensuring it runs efficiently and reliably under heavy load is where true engineering begins. Slow response times, memory leaks, and sudden crashes can cripple production systems if you do not know how to diagnose and resolve them. This text-based course guides you from the fundamental architecture of the Java Virtual Machine (JVM) to advanced profiling and troubleshooting techniques. You will learn how to read system metrics, analyze thread dumps, and optimize application performance systematically through structured written explanations and code examples. What you'll learn: - Understand JVM memory architecture, including heap, non-heap, and stack memory allocations. - Configure and tune modern garbage collectors, including G1 and ZGC, for optimal throughput and low latency. - Diagnose memory leaks and analyze heap dumps using industry-standard profiling concepts. - Troubleshoot thread contention, deadlocks, and CPU spikes using systematic thread dump analysis. - Apply modern Java features, such as virtual threads, and understand their performance implications. - Implement proactive monitoring and profiling practices to catch performance regressions before they reach production. The course starts with essential JVM internals and memory management definitions before moving into practical debugging scenarios. You will progress through written case studies, diagnostic workflows, and code snippets designed to build your troubleshooting confidence. This course is designed for Java developers who want to transition from writing basic code to managing high-performance systems. A foundational understanding of Java programming is recommended, but no prior experience with performance tuning is required. Start reading today to unlock deeper insights into your Java applications and build highly resilient systems.