In the previous chapters, we talked about possible ways to improve the performance of your Java application--from using the new command and monitoring tools to adding multithreading and introducing reactive programming and even to radically re-architecting your current solution into an unruly and flexible bunch of small independent deployment units and microservices. Without knowing your particular situation, there is no way for us to guess which of the provided recommendations can be helpful to you. That's why, in this chapter, we will describe a few recent additions to the JDK that can be helpful to you too. As we mentioned in the previous chapter, the gain in performance and overall code improvement does not always require us to radically redesign it. Small incremental changes can sometimes bring more significant improvements...
Java 9 High Performance
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Java 9 High Performance
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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)
Free Chapter
Learning Java 9 Underlying Performance Improvements
Identifying Performance Bottlenecks
Learning How to Troubleshoot Code
Learning How to Use Profiling Tools
Understanding Garbage Collection and Making Use of It
Optimizing Code with Microbenchmarking
Speeding Up JSON Generation
Tools for Higher Productivity and Faster Application
Multithreading and Reactive Programming
Microservices
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