Java Performance: The Definitive Guide
Scott Oaks
Abstract
Scott Oaks
Abstract
Coding and testing are often considered separate areas of expertise. In this comprehensive guide, author and Java expert Scott Oaks takes the approach that anyone who works with Java should be equally adept at understanding how code behaves in the JVM, as well as the tunings likely to help its performance.Youll gain in-depth knowledge of Java application performance, using the Java Virtual Machine (JVM) and the Java platform, including the language and API. Developers and performance engineers alike will learn a variety of features, tools, and processes for improving the way Java 7 and 8 applications perform.Apply four principles for obtaining the best results from performance testingUse JDK tools to collect data on how a Java application is performingUnderstand the advantages and disadvantages of using a JIT compilerTune JVM garbage collectors to affect programs as little as possibleUse techniques to manage heap memory and JVM native memoryMaximize Java threading and synchronization performance featuresTackle performance issues in Java EE and Java SE APIsImprove Java-driven database application performance
OpenAlex reports 16 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Coding and testing are often considered separate areas of expertise. In this comprehensive guide, author and Java expert Scott Oaks takes the approach that anyone who works with Java should be equally adept at understanding how code behaves in the JVM, as well as the tunings likely to help its performance.Youll gain in-depth knowledge of Java application performance, using the Java Virtual Machine (JVM) and the Java platform, including the language and API. Developers and performance engineers alike will learn a variety of features, tools, and processes for improving the way Java 7 and 8 applications perform.Apply four principles for obtaining the best results from performance testingUse JDK tools to collect data on how a Java application is performingUnderstand the advantages and disadvantages of using a JIT compilerTune JVM garbage collectors to affect programs as little as possibleUse techniques to manage heap memory and JVM native memoryMaximize Java threading and synchronization performance featuresTackle performance issues in Java EE and Java SE APIsImprove Java-driven database application performance
Key concepts: Java, Computer science, Real time Java, Java annotation, strictfp, Java concurrency, Operating system, Generics in Java