Java EE 8 High Performance: Master techniques such as memory optimization, caching, concurrency, and multithreading to achieve maximum performance from your enterprise applications

Java EE 8 High Performance: Master techniques such as memory optimization, caching, concurrency, and multithreading to achieve maximum performance from your enterprise applications
Java EE 8 High Performance: Master techniques such as memory optimization, caching, concurrency, and multithreading to achieve maximum performance from your enterprise applications by Romain Manni-Bucau
English | 2018 | ISBN: 1788473064 | 350 Pages | True PDF, EPUB | 29 MB

Get more control of your applications performances in development and production and know how to meet your Service Level Agreement on critical microservices.
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.
What You Will Learn

  • Identify performance bottlenecks in an application
  • Locate application hotspots using performance tools
  • Understand the work done under the hood by EE containers and its impact on performance
  • Identify common patterns to integrate with Java EE applications
  • Implement transparent caching on your applications
  • Extract more information from your applications using Java EE without modifying existing code
  • Ensure constant performance and eliminate regression