Includes index

Performance tuning is an experimental science, but that doesn't mean engineers should resort to guesswork and folklore to get the job done. Yet that's often the case. With this practical book, intermediate to advanced Java technologists working with complex platforms will learn how to tune Java cloud applications for performance using a quantitative, verifiable, and repeatable approach. In response to the ubiquity of cloud computing, this updated edition of Optimizing Cloud Native Java addresses topics that are key to high performance of Java applications in the cloud. Many resources on performance tend to focus on the theory and internals of Java virtual machines, but this book discusses the low-level technical aspects within the context of performance-tuning practicalities and examines a wide range of aspects.--Page [4] of cover

First edition published in 2018 as "Optimizing Java."

Optimization and Performance Defined -- Performance Testing Methodology -- Overview of the JVM -- Understanding Garbage Collection -- Advanced Garbage Collection -- Code Execution on the JVM -- Hardware and Operating Systems -- Components of the Cloud Stack -- Deploying Java in the Cloud -- Introduction to Observability -- Implementing Observability in Java -- Profiling -- Concurrent Performance Techniques -- Distributed Systems Techniques and Patterns -- Modern Performance and The Future -- Appendix A: Microbenchmarking -- B. Performance Antipatterns Catalog