Overview

This book is a deep, practical exploration of modern, production-grade Java for engineers who want to go beyond idioms and APIs to understand how the platform really works. It connects language features to JVM internals, showing how bytecode, JIT compilation, and the memory model shape performance, reliability, and observability at scale. From virtual threads and structured concurrency to GC ergonomics and allocation hot paths, you'll learn how to reason about the runtime, avoid hidden cliffs, and make deliberate, measurable trade-offs. You'll master the performance toolbox end to end: reading and influencing JIT decisions, exploiting intrinsics and the Vector API, and applying profile-guided optimization and AOT with GraalVM Native Image. The guide walks through lock-free algorithms, VarHandles, and memory ordering; high-performance I/O with zero-copy techniques, Netty native transports, and off-heap memory via the Foreign Function & Memory API; and dynamic capabilities with ASM, MethodHandles, invokedynamic, Java agents, and runtime code generation. On the language side, it covers records, sealed hierarchies, pattern matching, advanced generics, and safe adoption of preview/incubator features, together with stream performance and future-facing value-object thinking. For maintainable, evolvable systems, the book delves into compile-time metaprogramming (JSR 269), AST manipulation, in-memory compilation, and static analysis with Error Prone and Checker Framework. You'll design robust modules and plugins with JPMS and custom class loaders, accelerate startup with CDS, jlink, and CRaC, and harden applications with JCA/JCE, TLS tuning, secure serialization strategies, and supply-chain controls like SBOMs and reproducible builds. Throughout, you'll build strong observability instincts using JFR, async-profiler, flame graphs, safepoint and GC analysis, JMH microbenchmarks, JCStress, and eBPF-based tooling-equipping you to ship fast, predictable, and trustworthy Java in the real world.

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