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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

Designing a good database

Even if modern development tools and processes tend to make it easier to push the database design phase towards the end of the development cycle, it is crucial to not do so. Once the application has been implemented, it's simply too late to fix an inaccurate database design, leaving no other choice but to buy a larger amount of fast, expensive hardware to cope with the problem—if possible.

Designing a database structure is usually the task of a database administrator. However, it's not rare in today's tight-budget world that the software architect takes care to design the database schemas as well. That's why you should be aware of basic concepts such as database normalization, database partitioning, and good indexing.

Continuous database design, sanity checks, and early performance tests in parallel with the development process will minimize future headaches.

Database normalization and denormalization

One fundamental cornerstone of database design is normalization....

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Tech Concepts
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Programming languages
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WildFly Performance Tuning
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