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)

Libraries monitor your application

We saw what the JVM provides us with tools and what the server gives us performance hints, but there are a lot of libraries intended to help you work on the performance.

Counters, gauges, timers, and more

The most famous library is probably Metrics from Dropwizard ( but all libraries share more or less the same sort of API. The metrics are centered around a few important concepts:

  • Gauges: These provide the measure of a value at a certain time. They are intended to build a time series. Most famous examples are the CPU or memory usages.
  • Counters: These are long values, often associated with a gauges in order to build time series.
  • Histogram: This structure allows...