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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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I log, you log, they log

When do we use logging? This very technically-oriented question should be rephrased this way: when do we provide information about what the application is doing? This is exactly what logging is used for; it lets the user know what the application did at some point.

This is something we, as developers, often forget because we are focused on the feature we are implementing. But if the application intends to hit production, it is crucial to not forget to make sure the operation teams can work with it very efficiently as well. Don't forget that if the development takes six months, the production will probably last for some years and the cost of an incident is way higher than a small delay before the production is launched. Therefore, investing in a system communicating enough information is often worth it.

However, logging is not a trivial task to underestimate...

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