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WildFly Performance Tuning

You're reading from   WildFly Performance Tuning Develop high-performing server applications using the widely successful WildFly platform

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Product type Paperback
Published in Jun 2014
Publisher
ISBN-13 9781783980567
Length 330 pages
Edition 3rd Edition
Languages
Tools
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Toc

Table of Contents (12) Chapters Close

Preface 1. The Science of Performance Tuning FREE CHAPTER 2. Tools of the Tuning Trade 3. Tuning the Java Virtual Machine 4. Tuning WildFly 5. EJB Tuning in WildFly 6. Tuning the Persistence Layer 7. Tuning the Web Container in WildFly 8. Tuning Web Applications and Services 9. JMS and HornetQ 10. WildFly Clustering Index

Memory leaks


A very common performance problem in software development is memory leaks. The creators and maintainers of the Java language have done a lot to minimize this problem by the garbage collection of released (set to null) and unreferenced object instances for example, but poor code can and will still create problems. When an OOME occurs and the problem is suspected to be due to a memory leak, it is time to start investigating the real cause(s).

The rule of thumb to identify a likely heap leak is as follows:

If the heap size usage keeps increasing for a while after each time a Full GC has executed, it implies a likely memory leak

For the best estimate, the same type and amount of operations should be performed iteratively during each cycle before/after the Full GCs.

By using a tool such as VisualVM, it can, in some obvious cases, be possible to identify a leak directly by simply looking at the graph of the heap space memory. If it keeps growing despite Full GCs being executed, it is...

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