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⏱ 2h 48m📚 28 lessons
Java G1 Garbage Collection: Architecture, Logs, and Performance Tuning
Master G1 garbage collection mechanics, analyze GC logs, and optimize JVM memory performance for high-throughput Java applications.
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About this course
As Java applications scale, managing memory and minimizing pause times becomes critical for maintaining high performance. Understanding how the G1 Garbage Collector manages heap memory is key to solving latency issues in production.
This text-based course guides you from the fundamental concepts of JVM memory management to the advanced mechanics of the G1 Garbage Collector. You will learn to decode GC logs, analyze garbage collection phases, and configure optimal JVM parameters to eliminate performance bottlenecks.
What you'll learn:
- Understand G1 heap partitioning, region allocation, and the pause-time prediction model.
- Analyze the triggers, execution phases, and mechanisms of Young GC, Mixed GC, and Full GC.
- Interpret real-world GC log files to diagnose memory leaks and latency spikes.
- Configure essential JVM tuning flags to optimize garbage collection performance.
- Apply modern JVM best practices for containerized environments and memory allocation.
You will start with core garbage collection terminology and memory layouts before diving deep into G1-specific phases and log analysis. Through structured written explanations, step-by-step log walk-throughs, and practical tuning scenarios, you will build a strong mental model of JVM internals.
This course is designed for backend developers, software engineers, and systems administrators who have a basic understanding of Java and want to master JVM memory tuning. No prior garbage collection tuning experience is required.
Start reading today to take control of your Java application's performance and memory footprint.
What you'll get
📜Certificate of completion Add it to your LinkedIn profile
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⚡Short & focused 2h 48m of practical content
Certificate of completion
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