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Java 9 High Performance

You're reading from   Java 9 High Performance Practical techniques and best practices for optimizing Java applications through concurrency, reactive programming, and more

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781787120785
Length 398 pages
Edition 1st Edition
Languages
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Authors (2):
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Nick Samoylov Nick Samoylov
Author Profile Icon Nick Samoylov
Nick Samoylov
Mayur Ramgir Mayur Ramgir
Author Profile Icon Mayur Ramgir
Mayur Ramgir
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Toc

Table of Contents (11) Chapters Close

1. Learning Java 9 Underlying Performance Improvements 2. Identifying Performance Bottlenecks FREE CHAPTER 3. Learning How to Troubleshoot Code 4. Learning How to Use Profiling Tools 5. Understanding Garbage Collection and Making Use of It 6. Optimizing Code with Microbenchmarking 7. Speeding Up JSON Generation 8. Tools for Higher Productivity and Faster Application 9. Multithreading and Reactive Programming 10. Microservices 11. Making Use of New APIs to Improve Your Code

Why a developer should use a profiling tool

It does not matter how proficient a developer is; the fact remains that in spite of the most meticulous attention to detail, the odds are that actual code will not run at peak performance levels around which it has been designed, at least not the first time in its generation. The actual speed of the code versus its theoretical speed tends to differ to a great degree.

This is because there are a lot of elements that combine to create a visible gap between the two. In order to substantially decrease that gap (with the core aim of ultimately closing it altogether), all code must be debugged, analyzed, and reviewed again and again until it has been determined that all of its bugs have been removed and it is running as fast and as efficiently as it had been initially designed to do so.

But the question is how to go about achieving this? That...

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