Monitoring JVM Garbage Collection with JVisualVM, JConsole, and Mission Control
Learn how to monitor and analyze JVM Garbage Collection using JVisualVM, JConsole, and Mission Control for tuning, troubleshooting, and optimizing Java apps
Tutorials under 'JVM Internals'
Tuning the Heap Size in JVM: Xms, Xmx, and Metaspace Parameters Explained
Learn how to tune JVM heap size with Xms, Xmx, and Metaspace parameters to improve performance, prevent memory errors, and optimize garbage collection
Common GC Tuning Flags and Parameters in JVM Explained
Learn the most important JVM garbage collection tuning flags and parameters, their impact on performance, and how to use them effectively in production
Tuning Garbage Collectors in JVM: Balancing Throughput vs Latency
Learn how to tune JVM Garbage Collectors for throughput vs latency trade-offs, with best practices, GC flags, case studies, and real-world tuning strategies
Analyzing GC Pauses and Latency Spikes in JVM Production Systems
Learn how to analyze JVM garbage collection pauses and latency spikes in production using GC logs, tuning flags, and monitoring tools for stable performance
Memory Leaks in Java: Causes, Detection, and Prevention Explained
Learn what causes memory leaks in Java, how to detect them using tools like VisualVM and JFR, and best practices to prevent memory issues in production systems
Using GC Logs and Java Flight Recorder (JFR) for Troubleshooting JVM Performance Issues
Learn how to troubleshoot JVM performance issues using GC logs and Java Flight Recorder (JFR) with real-world analysis, tuning techniques, and case studies.
Benchmarking JVM Garbage Collection Performance: Tools and Best Practices
Learn how to benchmark JVM Garbage Collection performance using tools like JMH, JFR, and GC logs, plus best practices for tuning throughput and latency
JVM Just-In-Time (JIT) Compilation: How HotSpot Optimizes Java Code
Discover how JVM Just-In-Time (JIT) compilation in HotSpot optimizes Java code with adaptive optimization, profiling, and real-world performance benefits
Tiered Compilation in JVM: Understanding C1 vs C2 Compilers for Performance Optimization
Learn how tiered compilation in JVM combines C1 and C2 compilers to balance startup performance and runtime optimization for Java applications
Understanding Class Data Sharing (CDS) and AppCDS for Faster JVM Startup and Lower Memory Usage
Learn how Class Data Sharing (CDS) and AppCDS optimize JVM startup, reduce memory footprint, and improve performance in Java applications with real-world use cases
GraalVM JIT Compiler: Next-Generation JVM Performance and Optimization
Explore GraalVM’s JIT compiler for next-generation JVM performance, advanced optimizations, polyglot support, and real-world tuning strategies for Java apps.
JVM Intrinsics and Escape Analysis Explained in Depth for Performance Optimization
Dive deep into JVM intrinsics and escape analysis, how HotSpot JIT optimizes code, reduces GC pressure, and improves Java performance in real-world apps.
JVM Safepoints Explained: Why the JVM Halts Threads and How It Impacts Performance
Understand JVM safepoints, why the JVM halts threads, their role in garbage collection, JIT compilation, and how to optimize safepoint behavior in production systems
Biased Locking, Lightweight Locking, and JVM Synchronization Internals Explained
Learn JVM synchronization internals including biased locking, lightweight locking, and object monitors. Discover performance impacts and best practices in Java apps
GC Tuning Case Study: Optimizing JVM for Low-Latency Trading Systems
Explore a real-world GC tuning case study in low-latency trading systems. Learn how ZGC, Shenandoah, and JVM flags help achieve predictable sub-10ms pauses
Deoptimization in JVM: Understanding When Optimizations Are Rolled Back
Learn JVM deoptimization, why HotSpot rolls back JIT optimizations, how it ensures correctness, and its performance impact in Java applications
Inline Caching in the JVM: Faster Method Dispatch and JIT Optimization
Discover how JVM inline caching accelerates method dispatch, reduces dynamic lookup overhead, and boosts Java application performance with JIT optimizations
JVM Profiling Internals: Stack Sampling and Instrumentation for Performance Optimization
Explore JVM profiling internals with stack sampling and instrumentation. Learn how to detect performance bottlenecks and optimize Java applications in production
Choosing the Right Garbage Collector for Your Application: G1, ZGC, Shenandoah, and Beyond
Learn how to choose the right JVM garbage collector (G1, ZGC, Shenandoah, Parallel) for your application. Compare throughput vs latency tuning with real-world cases