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)

Identifying Performance Bottlenecks

Before diving deep into understanding code-related performance problems, it is important to understand the platform on which the code is going to run. This not only includes the JVM, but also the underline operating system, hardware infrastructure, and network infrastructure. You may be wondering, why should I care about that? Isn’t just focusing on the application code enough to make sure my application runs smoothly?

Unfortunately, the answer is no. No, it's not enough just to focus on improving your code. The reason is very simple--your code depends on the resources provided by JVM, operating system, and network infrastructure. When you write the REST client, you are relying on the underline network infrastructure to deliver the data. When you write the multithreaded code, you are relying on JVM and underlying operating system...