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.
Dive deep into JVM intrinsics and escape analysis, how HotSpot JIT optimizes code, reduces GC pressure, and improves Java performance in real-world apps.
Understand JVM safepoints, why the JVM halts threads, their role in garbage collection, JIT compilation, and how to optimize safepoint behavior in production systems
Learn JVM synchronization internals including biased locking, lightweight locking, and object monitors. Discover performance impacts and best practices in Java apps
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
Learn JVM deoptimization, why HotSpot rolls back JIT optimizations, how it ensures correctness, and its performance impact in Java applications
Discover how JVM inline caching accelerates method dispatch, reduces dynamic lookup overhead, and boosts Java application performance with JIT optimizations
Explore JVM profiling internals with stack sampling and instrumentation. Learn how to detect performance bottlenecks and optimize Java applications in production
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
Learn GC tuning strategies for high-throughput web applications. Explore G1, Parallel, and ZGC optimization with JVM flags, case studies, and best practices
Learn JVM internals in cloud-native environments. Explore GC tuning, memory management, and best practices for Docker and Kubernetes deployments