Browse Library
Sign In Start Free Trial
Close icon Search icon
Account
Browse Library Sign In Start Free Trial

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying WildFly Performance Tuning
  • Table Of Contents Toc
WildFly Performance Tuning

WildFly Performance Tuning - Third Edition

3.8 (6)
Buy this Book
close
close
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)
close
close
close
Preface
Icon
Preface
Icon
What this book covers
Icon
What you need for this book
Icon
Who this book is for
Icon
Conventions
Icon
Reader feedback
Icon
Customer support
Lock Free Chapter
1
1. The Science of Performance Tuning
Icon
1. The Science of Performance Tuning
Icon
Performance
Icon
Scalability
Icon
Performance tuning anti-patterns
Icon
Software development and quality assurance
Icon
Software development with performance focus
Icon
The iterative performance-tuning process
Icon
The environment of performance tests
Icon
The software life cycle
Icon
Tuning an enterprise stack
Icon
Summary
2
2. Tools of the Tuning Trade
Icon
2. Tools of the Tuning Trade
Icon
The key features of performance tuning
Icon
Profiling
Icon
Profiling and sampling
Icon
VisualVM
Icon
Monitoring
Icon
OS tools
Icon
WildFly tools
Icon
Generating load
Icon
Apache JMeter
Icon
Summary
3
3. Tuning the Java Virtual Machine
Icon
3. Tuning the Java Virtual Machine
Icon
JVM
Icon
JVM memory areas
Icon
GC
Icon
JVM memory management with the GC
Icon
Configuring the JVM
Icon
Large objects
Icon
Large memory pages
Icon
The java.lang.OutOfMemoryError error
Icon
Memory leaks
Icon
Types of GC strategies
Icon
Which collector to use
Icon
Setting VM parameters in WildFly
Icon
Having the relevant information available
Icon
VM parameters in production
Icon
Using tools
Icon
VM and GC stability
Icon
Summary
4
4. Tuning WildFly
Icon
4. Tuning WildFly
Icon
WildFly's history
Icon
WildFly's architecture
Icon
Various subsystem configurations
Icon
Logging
Icon
Summary
5
5. EJB Tuning in WildFly
Icon
5. EJB Tuning in WildFly
Icon
The history of EJBs
Icon
The different types of EJBs
Icon
Performance tuning EJBs in WildFly
Icon
Summary
6
6. Tuning the Persistence Layer
chevron up
Icon
6. Tuning the Persistence Layer
Icon
Designing a good database
Icon
Tuning the Java Database Connectivity API
Icon
Tuning JPA and Hibernate
Icon
Summary
7
7. Tuning the Web Container in WildFly
Icon
7. Tuning the Web Container in WildFly
Icon
Enter Undertow
Icon
Using XNIO
Icon
Tuning Undertow
Icon
Tuning the servlet container and JSP compilation
Icon
Using Apache as a frontend
Icon
Summary
8
8. Tuning Web Applications and Services
Icon
8. Tuning Web Applications and Services
Icon
Web applications
Icon
Services
Icon
Summary
9
9. JMS and HornetQ
Icon
9. JMS and HornetQ
Icon
Introducing JMS
Icon
The message and its optimizations
Icon
Tuning the session
Icon
Tuning MessageProducer
Icon
Optimizing HornetQ
Icon
Summary
10
10. WildFly Clustering
Icon
10. WildFly Clustering
Icon
Cluster
Icon
Load balancing
Icon
Replication
Icon
Failover, failback, and session state
Icon
High Availability
Icon
The real need of clustering
Icon
A single point of failure
Icon
WildFly clustering basics
Icon
Clustering in Java EE and WildFly
Icon
Summary
11
Index
Icon
Index

Chapter 6. Tuning the Persistence Layer

Data persistence is a key ingredient of any enterprise application, and it has been a part of JDK since its very first release. Most readers certainly agree that data persistence is the most common cause of bottlenecks in applications. Unfortunately, isolating the root of the problem is not a straightforward affair and requires investigating areas from the SQL code to the interfaces used to issue SQL statements. Other potential areas that may affect your data persistence are the database configuration and the underlying network and database hardware.

For this reason, we have divided this chapter into the following three main sections in order to cover all the major factors that can drag down the performance of your data persistence:

  • The first section introduces some principles of good database design. If your database design doesn't conform to some commonly agreed rules, chances are high that you will find it hard to achieve the performance...
Visually different images
CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
WildFly Performance Tuning
End of Section 6
Next Section
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected
Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful
Order Page Read Now

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon