Optimizing Java: practical techniques for improving JVM application performance

Optimization and performance defined

Overview of the JVM

Hardware and operating systems

Performance testing patterns and antipatterns

Microbenchmarking and statistics

Understanding garbage collection

Advanced garbage collection

GC logging, monitoring, tuning, and tools

Code execution on the JVM

Understanding JIT compilation

Java language performance techniques

Concurrent performance techniques

Profiling

High-performance logging and messaging

Java 9 and the future.

Intro; Copyright; Table of Contents; Foreword; Preface; Conventions Used in This Book; Using Code Examples; O'Reilly Safari; How to Contact Us; Acknowledgments; Chapter 1. Optimization and Performance Defined; Java Performance-The Wrong Way; Java Performance Overview; Performance as an Experimental Science; A Taxonomy for Performance; Throughput; Latency; Capacity; Utilization; Efficiency; Scalability; Degradation; Connections Between the Observables; Reading Performance Graphs; Summary; Chapter 2. Overview of the JVM; Interpreting and Classloading; Executing Bytecode; Introducing HotSpot

Introducing Just-in-Time CompilationJVM Memory Management; Threading and the Java Memory Model; Meet the JVMs; A Note on Licenses; Monitoring and Tooling for the JVM; VisualVM; Summary; Chapter 3. Hardware and Operating Systems; Introduction to Modern Hardware; Memory; Memory Caches; Modern Processor Features; Translation Lookaside Buffer; Branch Prediction and Speculative Execution; Hardware Memory Models; Operating Systems; The Scheduler; A Question of Time; Context Switches; A Simple System Model; Basic Detection Strategies; Utilizing the CPU; Garbage Collection; I/O; Mechanical Sympathy

VirtualizationThe JVM and the Operating System; Summary; Chapter 4. Performance Testing Patterns and Antipatterns; Types of Performance Test; Latency Test; Throughput Test; Load Test; Stress Test; Endurance Test; Capacity Planning Test; Degradation Test; Best Practices Primer; Top-Down Performance; Creating a Test Environment; Identifying Performance Requirements; Java-Specific Issues; Performance Testing as Part of the SDLC; Introducing Performance Antipatterns; Boredom; Résumé Padding; Peer Pressure; Lack of Understanding; Misunderstood/Nonexistent Problem

Performance Antipatterns CatalogueDistracted by Shiny; Distracted by Simple; Performance Tuning Wizard; Tuning by Folklore; The Blame Donkey; Missing the Bigger Picture; UAT Is My Desktop; Production-Like Data Is Hard; Cognitive Biases and Performance Testing; Reductionist Thinking; Confirmation Bias; Fog of War (Action Bias); Risk Bias; Ellsberg's Paradox; Summary; Chapter 5. Microbenchmarking and Statistics; Introduction to Measuring Java Performance; Introduction to JMH; Don't Microbenchmark If You Can Help It (A True Story); Heuristics for When to Microbenchmark; The JMH Framework

Executing BenchmarksStatistics for JVM Performance; Types of Error; Non-Normal Statistics; Interpretation of Statistics; Summary; Chapter 6. Understanding Garbage Collection; Introducing Mark and Sweep; Garbage Collection Glossary; Introducing the HotSpot Runtime; Representing Objects at Runtime; GC Roots and Arenas; Allocation and Lifetime; Weak Generational Hypothesis; Garbage Collection in HotSpot; Thread-Local Allocation; Hemispheric Collection; The Parallel Collectors; Young Parallel Collections; Old Parallel Collections; Limitations of Parallel Collectors; The Role of Allocation