Book Image

Java 9 High Performance

By : Mayur Ramgir, Nick Samoylov
Book Image

Java 9 High Performance

By: Mayur Ramgir, Nick Samoylov

Overview of this book

Finally, a book that focuses on the practicalities rather than theory of Java application performance tuning. This book will be your one-stop guide to optimize the performance of your Java applications. We will begin by understanding the new features and APIs of Java 9. You will then be taught the practicalities of Java application performance tuning, how to make the best use of garbage collector, and find out how to optimize code with microbenchmarking. Moving ahead, you will be introduced to multithreading and learning about concurrent programming with Java 9 to build highly concurrent and efficient applications. You will learn how to fine tune your Java code for best results. You will discover techniques on how to benchmark performance and reduce various bottlenecks in your applications. We'll also cover best practices of Java programming that will help you improve the quality of your codebase. By the end of the book, you will be armed with the knowledge to build and deploy efficient, scalable, and concurrent applications in Java.
Table of Contents (11 chapters)

Learning Java 9 Underlying Performance Improvements

Just when you think you have a handle on lambdas and all the performance-related features of Java 8, along comes Java 9. What follows are several of the capabilities that made it into Java 9 that you can use to help improve the performance of your applications. These go beyond byte-level changes like for string storage or garbage collection changes, which you have little control over. Also, ignore implementation changes like those for faster object locking, since you don't have to do anything differently and you automatically get these improvements. Instead, there are new library features and completely new command-line tools that will help you create apps quickly.

In this chapter, we will cover the following topics:

  • Modular development and it's impact on performance
  • Various string-related performance improvements, including compact string and indify string concatenation
  • Advancement in concurrency
  • Various underlying compiler improvements, such as tiered attribution and Ahead-of-Time (AOT) compilation
  • Security manager improvements
  • Enhancements in graphics rasterizers