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  • Book Overview & Buying WildFly Performance Tuning
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WildFly Performance Tuning

WildFly Performance Tuning - Third Edition

3.8 (6)
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WildFly Performance Tuning

WildFly Performance Tuning

3.8 (6)
Buy this Book

Overview of this book

Packed with practical examples, this book looks at a different aspect of performance tuning in each chapter and shows you how to apply them to their existing Java applications. Anyone with an interest in learning more and improving the performance of Java-based technology in general, all the way to WildFly in particular, will find this book useful.
Table of Contents (12 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. The Science of Performance Tuning
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1. The Science of Performance Tuning
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Performance
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Scalability
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Performance tuning anti-patterns
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Software development and quality assurance
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Software development with performance focus
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The iterative performance-tuning process
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The environment of performance tests
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The software life cycle
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Tuning an enterprise stack
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Summary
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2. Tools of the Tuning Trade
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2. Tools of the Tuning Trade
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The key features of performance tuning
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Profiling
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Profiling and sampling
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VisualVM
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Monitoring
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OS tools
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WildFly tools
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Generating load
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Apache JMeter
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Summary
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3. Tuning the Java Virtual Machine
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3. Tuning the Java Virtual Machine
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JVM
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JVM memory areas
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GC
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JVM memory management with the GC
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Configuring the JVM
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Large objects
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Large memory pages
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The java.lang.OutOfMemoryError error
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Memory leaks
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Types of GC strategies
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Which collector to use
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Setting VM parameters in WildFly
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Having the relevant information available
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VM parameters in production
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Using tools
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VM and GC stability
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Summary
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4. Tuning WildFly
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4. Tuning WildFly
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WildFly's history
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WildFly's architecture
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Various subsystem configurations
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Logging
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Summary
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5. EJB Tuning in WildFly
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5. EJB Tuning in WildFly
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The history of EJBs
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The different types of EJBs
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Performance tuning EJBs in WildFly
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Summary
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6. Tuning the Persistence Layer
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6. Tuning the Persistence Layer
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Designing a good database
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Tuning the Java Database Connectivity API
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Tuning JPA and Hibernate
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Summary
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7. Tuning the Web Container in WildFly
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7. Tuning the Web Container in WildFly
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Enter Undertow
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Using XNIO
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Tuning Undertow
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Tuning the servlet container and JSP compilation
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Using Apache as a frontend
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Summary
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8. Tuning Web Applications and Services
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8. Tuning Web Applications and Services
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Web applications
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Services
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Summary
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9. JMS and HornetQ
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9. JMS and HornetQ
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Introducing JMS
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The message and its optimizations
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Tuning the session
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Tuning MessageProducer
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Optimizing HornetQ
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Summary
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10. WildFly Clustering
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10. WildFly Clustering
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Cluster
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Load balancing
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Replication
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Failover, failback, and session state
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High Availability
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The real need of clustering
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A single point of failure
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WildFly clustering basics
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Clustering in Java EE and WildFly
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Summary
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Index
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Index

Monitoring

Keeping track of how your system reacts to different types of influences is imperative when you're testing it, tuning it, and over time in production. The measured values are extremely useful for both technical and business trend analysis as well as for comparing the performance between releases. When done correctly, these trends and comparisons can save your organization a lot of headache and enable it to quickly predict and adapt to upcoming problems.

There are explicit tools that monitor specific features and services, and there are others that give a more collective view of system health and performance. As we have seen, tools such as VisualVM can provide us with a multitude of information from various layers in the enterprise stack. It will give you the basic information about the hardware in terms of CPU usage, and as expected, it will provide a lot of information about the JVM as well as the middleware and the execution of inherent applications within the JVM.

A system...

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Tech Concepts
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Programming languages
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WildFly Performance Tuning
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