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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

The art of profiling

By going through the earlier section, hopefully you have convinced yourself that you are going to need to use a profiling tool to improve the performance of your application. Now, let's look into the art behind profiling. In other words, let's see how our applications are profiled. As you have learned, the main purpose of a profiler is to measure resource usage in your application like CPU utilization, memory consumption, I/O utilization, and so on.

In simpler terms, the profiler needs to record methods that are getting invoked and the time they took to complete the processing. To do this, the profiler needs to collect data; this process is called sampling. The data collection, like call stack, occurs at specified intervals. This is a more passive technique where we are not meddling with the application code. Hence, this approach has less impact...

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