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WildFly Performance Tuning

Book Image

WildFly Performance Tuning

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WildFly Performance Tuning
Jun, 2014 | 330 pages
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Table of Contents (17 chapters)
WildFly Performance Tuning
WildFly Performance Tuning
Credits
Credits
About the Authors
About the Authors
About the Reviewers
About the Reviewers
www.PacktPub.com
www.PacktPub.com
Preface
Preface
Free Chapter
1
The Science of Performance Tuning
The Science of Performance Tuning
Performance
Scalability
Performance tuning anti-patterns
Software development and quality assurance
Software development with performance focus
The iterative performance-tuning process
The environment of performance tests
The software life cycle
Tuning an enterprise stack
Summary
2
Tools of the Tuning Trade
Tools of the Tuning Trade
The key features of performance tuning
Profiling
Profiling and sampling
VisualVM
Monitoring
OS tools
WildFly tools
Generating load
Apache JMeter
Summary
3
Tuning the Java Virtual Machine
Tuning the Java Virtual Machine
JVM
JVM memory areas
GC
JVM memory management with the GC
Configuring the JVM
Large objects
Large memory pages
The java.lang.OutOfMemoryError error
Memory leaks
Types of GC strategies
Which collector to use
Setting VM parameters in WildFly
Having the relevant information available
VM parameters in production
Using tools
VM and GC stability
Summary
4
Tuning WildFly
Tuning WildFly
WildFly's history
WildFly's architecture
Various subsystem configurations
Logging
Summary
5
EJB Tuning in WildFly
EJB Tuning in WildFly
The history of EJBs
The different types of EJBs
Performance tuning EJBs in WildFly
Summary
6
Tuning the Persistence Layer
Tuning the Persistence Layer
Designing a good database
Tuning the Java Database Connectivity API
Tuning JPA and Hibernate
Summary
7
Tuning the Web Container in WildFly
Tuning the Web Container in WildFly
Enter Undertow
Using XNIO
Tuning Undertow
Tuning the servlet container and JSP compilation
Using Apache as a frontend
Summary
8
Tuning Web Applications and Services
Tuning Web Applications and Services
Web applications
Services
Summary
9
JMS and HornetQ
JMS and HornetQ
Introducing JMS
The message and its optimizations
Tuning the session
Tuning MessageProducer
Optimizing HornetQ
Summary
10
WildFly Clustering
WildFly Clustering
Cluster
Load balancing
Replication
Failover, failback, and session state
High Availability
The real need of clustering
A single point of failure
WildFly clustering basics
Clustering in Java EE and WildFly
Summary
Index
Index

Introducing JMS

MOMs are not very well defined and their implementations sometimes tend to touch integration platforms by, for example, including data transformation. Here, we will only care about, and focus on, the messages and the broker that facilitates transportation of these messages.

In Java EE, the Java Messaging Service (JMS) specification (Version 2.0 is currently used in Java EE 7 and WildFly 8.0.0.Final) defines the API for how Java code can interact with the MOM message brokers. In WildFly, the broker component is realized by HornetQ (http://hornetq.jboss.org/), currently in Version 2.4.1.Final.

In JMS, and in general, the message broker supports the following two major communication models, or destination types, as they are also called:

  • Queue: As seen in the following diagram, a message is sent from a client called Producer to a given Queue. The message is then distributed to another receiving client named Consumer. The Consumer has registered itself as a recipient with the same...

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