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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 FREE CHAPTER 2. Identifying Performance Bottlenecks 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

Introducing profiling

Now, let's understand profiling in a little more detail. In the context of software engineering and development, profiling is a form of dynamic program analysis that may be used as a means of measurement regarding certain parameters such as memory, CPU time, and so on.

Here, profiling may also be defined as the use of a specific set of instructions in a program, along with the length or the regularity of function calls. However, profiling is most often undertaken as an aid to the optimization of any computer software.

Profiling is typically conducted by a specific tool that is referred to as a profiler. This tool may utilize multiple methods based on either statistical simulation or even many event-based techniques to create such profiles.

Furthermore, profiling helps address the cumbersome task of having to perform memory management on its own. In most...

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