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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
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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

Summary

In this chapter, we talked about the importance of knowing the terminology related to clustering, including load balancing, high availability, failover, and replication. While each feature has its benefits, there may also be drawbacks, especially in terms of maintenance and complexity. The two foundations of clustering in WildFly are as follows:

  • The cluster node communication by JGroups
  • Data distribution and caching with Infinispan

Large parts of the Java EE stack and its components can be clustered and tuned. In WildFly, these components include the following:

  • The different EJBs
  • Web applications
  • Load balancing of HTTP traffic using mod_cluster
  • The persistence layer
  • HornetQ

The golden rule for whenever replication is involved is to make sure that the dataset is as small as possible.

Now you can tune WildFly. Get out there and test its wings!

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