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)

Summary

The JSON generation is based on the methods identified in the Java object modeling structure. It is able to create a dedicated set of data elements that are related to each other in a non-linear manner. There are two main JSON elements. One is the parsing and the second is the array generation. The JSON generation provides a way of communicating between different programming languages. It has a unique standardization, which allows programmers to really use it in the Java 9 platform and prepare programs that have the best cross-functionality and are ideal for use on mobile platforms.

In the next chapter we will learn about JShell and the Ahead-of-Time (AOT) compiler. We will learn about Read-Eval-Print Loop (REPL) tool, which is quite similar to other languages such as Scala, Ruby and Python.