Advanced Java & JVM Internals Roadmap
A comprehensive learning path for senior Java engineers to master JVM internals, memory management, bytecode manipulation, concurrency patterns, and performance tuning.
A comprehensive learning path for senior Java engineers to master JVM internals, memory management, bytecode manipulation, concurrency patterns, and performance tuning.
Learn async-profiler for low-overhead CPU and memory profiling in production. Generate flame graphs, analyze allocations, and diagnose JVM bottlenecks.
Understanding Java atomic operations: AtomicInteger, AtomicReference, VarHandle, compareAndSet, atomics vs locks, and lock-free programming patterns.
A technical deep dive into the JVM bytecode verifier, covering type checking, stack map frames, the four verification stages, and what happens when verification fails.
A guide to Class Data Sharing in the JVM, covering how CDS and AppCDS work, how to create shared archives, and how they reduce startup time and memory footprint.
Deep dive into the JVM Class Loader subsystem covering loading, linking, initialization phases and the ClassLoader hierarchy with parent delegation model.
How CMS and G1 garbage collectors reduce pause times through concurrent marking, region-based heap layout, and incremental compaction.
Master the most frequently used JVM bytecode instructions: aload, astore, invoke, return, and arithmetic operations.
Java concurrent collections deep dive: ConcurrentHashMap, BlockingQueue, CopyOnWriteArrayList, ConcurrentLinkedQueue, and choosing the right structure.
A guide to how the JVM detects container memory limits, configures heap accordingly, and avoids pitfalls when running Java in Docker and Kubernetes.