Book Image

Java EE 8 High Performance

By : Romain Manni-Bucau
Book Image

Java EE 8 High Performance

By: Romain Manni-Bucau

Overview of this book

The ease with which we write applications has been increasing, but with this comes the need to address their performance. A balancing act between easily implementing complex applications and keeping their performance optimal is a present-day need. In this book, we explore how to achieve this crucial balance while developing and deploying applications with Java EE 8. The book starts by analyzing various Java EE specifications to identify those potentially affecting performance adversely. Then, we move on to monitoring techniques that enable us to identify performance bottlenecks and optimize performance metrics. Next, we look at techniques that help us achieve high performance: memory optimization, concurrency, multi-threading, scaling, and caching. We also look at fault tolerance solutions and the importance of logging. Lastly, you will learn to benchmark your application and also implement solutions for continuous performance evaluation. By the end of the book, you will have gained insights into various techniques and solutions that will help create high-performance applications in the Java EE 8 environment.
Table of Contents (12 chapters)

Thread data and consistency

Before getting Java EE-specific, it is important to step back a moment and understand the implications of concurrency on the programming model.

Concurrent data access

When a single thread accesses data, then the access is always thread-safe, and it is not possible for a thread to mutate data while another one is reading it. When you increase the number of threads and multiple threads can access the same data structure instances, it is possible for a thread to read the data that's currently being modified, or for two concurrent modifications to happen, leading to an inconsistent result.

Here is a schema representing this issue with two threads. Keep in mind that a Java EE server often handles...