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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

Summary

Without the extensive utilization of a Java profiling tool, many programs would be prone to bugs as well as degradation of code, which would in turn lead to the program hanging or even crashing. Initially, when profiling tools were created, many developers were quite weary of using them due to the fact that they made the whole process considerably slower. Furthermore, there was the added fear that the profiler would insert issues in the code itself.

However, with the passage of time, a whole new generation of profiling tools has changed this equation, and now it has become imperative for software developers to use them when developing new programs or even when fine-tuning old ones.

In the next chapter, we will learn about garbage collector, benefits of using garbage collector and carious garbage collection methods like escape analysis and reference counting. We will also...

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