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Java EE 8 High Performance

Java EE 8 High Performance

By : Romain Manni-Bucau
3.9 (36)
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Java EE 8 High Performance

Java EE 8 High Performance

3.9 (36)
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)
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Be Lazy; Cache Your Data

In the previous chapter, we saw how to parallelize the processing of our requests and reduce our response time using our processor more accurately.

However, the best way to be efficient and fast is, obviously, not doing anything. This is what caching tries to do, allowing you to use the memory to keep track of the already processed results and read them fast when needed later on.

In this chapter, we will go through the following topics:

  • What caching is, how it works, and when it is interesting
  • Which kind of cache to use: local versus remote caching
  • JCache – a standard API for Java EE

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