Metaspace Explained: Evolution from PermGen to Metaspace
Understand the evolution from PermGen to Metaspace in the JVM. Learn why PermGen was replaced, how Metaspace works, and tuning strategies for production apps
Tutorials under 'GC Algorithms'
Escape Analysis in the JVM: Stack Allocation of Objects
Learn how JVM escape analysis enables stack allocation of objects, reducing GC pressure, improving performance, and optimizing memory in Java applications
Direct Memory and Off-Heap Memory in Java
Learn about direct memory and off-heap memory in Java. Explore how they work, benefits, pitfalls, JVM tuning, and real-world performance optimizations
String Pool and Interning in JVM: How It Works
Learn how the JVM string pool and interning work. Explore memory optimization, performance benefits, pitfalls, and best practices for Java developers
What is Garbage Collection in Java? Concepts and Motivation
Understand Java garbage collection: concepts, motivation, algorithms, tuning, and best practices to optimize performance and memory efficiency in JVM apps
The JVM Garbage Collection Process: Reachability and Root Sets
Learn how JVM garbage collection works through reachability analysis and root sets. Understand GC fundamentals, algorithms, tuning, and best practices
Minor vs Major GC: Young Generation and Old Generation Explained
Learn the differences between Minor and Major Garbage Collection in Java. Explore young vs old generation, GC algorithms, tuning, and performance tips
Stop-the-World Events: Why Your Application Pauses
Understand Stop-the-World events in the JVM. Learn why applications pause, how GC triggers them, performance impacts, and tuning strategies to reduce latency
Reference Types and GC: Strong, Weak, Soft, and Phantom References
Understand strong, weak, soft, and phantom references in Java. Learn their role in JVM garbage collection, memory optimization, and real-world use cases
Finalization in Java: Why finalize() is Deprecated and Alternatives
Learn why finalize() is deprecated in Java, the problems it caused, and modern alternatives like try-with-resources, AutoCloseable, and Cleaner API
Mark-and-Sweep Algorithm: Foundations of Garbage Collection
Learn the Mark-and-Sweep algorithm in Java Garbage Collection. Understand its process, pros, cons, and role in JVM memory management
Copying and Compacting Collectors Explained
Understand copying and compacting collectors in Java GC. Learn how they reduce fragmentation, improve memory efficiency, and impact JVM performance
Generational Garbage Collection: Young vs Old Generation Strategy
Understand Generational Garbage Collection in Java. Learn how Young and Old Generations optimize JVM performance, memory efficiency, and GC tuning
G1 (Garbage First) Garbage Collector: Modern Default for Java
Learn G1 Garbage Collector in Java. Explore its region-based design, tuning options, advantages over CMS, and why it’s the modern JVM default
CMS (Concurrent Mark Sweep) Garbage Collector Explained
Learn the CMS Garbage Collector in Java. Understand its phases, strengths, weaknesses, and why it was deprecated in favor of G1, ZGC, and Shenandoah
Shenandoah GC: Low-Pause Garbage Collection in OpenJDK
Learn Shenandoah GC in Java: a low-pause, concurrent garbage collector in OpenJDK. Explore design, tuning, advantages, and production scenarios
ZGC: Sub-Millisecond Pause Garbage Collector Explained
Learn ZGC in Java: a low-latency garbage collector with sub-millisecond pause times. Explore its design, tuning options, and real-world use cases
How GC Chooses Which Objects to Collect: Root Reachability Analysis
Learn how Java’s Garbage Collector identifies unreachable objects using root reachability analysis, improving memory efficiency, performance, and reliability
Comparing GC Algorithms: CMS vs G1 vs ZGC vs Shenandoah
Compare CMS, G1, ZGC, and Shenandoah garbage collectors in Java. Learn differences, tuning options, and best use cases for latency and throughput
JVM Garbage Collection Logs: How to Read and Interpret Them
Master the art of reading and interpreting JVM Garbage Collection logs to optimize performance, reduce latency, and troubleshoot memory issues effectively