Book Image

JBoss AS 5 Performance Tuning

By : Francesco Marchioni, Jason Savod
Book Image

JBoss AS 5 Performance Tuning

By: Francesco Marchioni, Jason Savod

Overview of this book

Today's organizations need to deliver faster services to a large set of people and businesses. In order to survive this challenge, enterprises need to optimize the performance of their application server along with its components and hardware. Writing faster applications is no longer just an option for your products; it's an imperative requirement, which you cannot ignore. JBoss AS 5 Performance Tuning will teach you how to deliver fast applications on the JBoss Application Server and Apache Tomcat, giving you a decisive competitive advantage over your competitors. You will learn how to optimize the hardware resources, meeting your application requirements with less expenditure.The performance of Java Enterprise applications is the sum of a set of components including the Java Virtual Machine configuration, the application server configuration (in our case, JBoss AS), the application code itself and ultimately the operating system. This book will show you how to apply the correct tuning methodology and use the tuning tools that will help you to monitor and address any performance issues. By looking more closely at the Java Virtual Machine, you will get a deeper understanding of what the available options are for your applications and how their performance will be affected. You will learn about thread pool tuning, EJB tuning, JMS tuning, Enterprise Java Beans, and the Java Messaging Service. The persistence layer and JBoss Clustering service each have a chapter dedicated to them as they are two of the most crucial elements to configure correctly in order to run a fast application. You will also learn how to tune your web server, enabling you to configure and develop web applications that get the most out of the embedded Tomcat web server.
Table of Contents (17 chapters)
JBoss AS 5 Performance Tuning
About the Author
About the Reviewers
A Tuned Mind

Scalability: the other side of performance

As we have just learnt, we cannot define performance within the context of a single user who is testing the application. The performance of an application is tightly coupled with the number of users, so we need to define another variable which is known as Scalability. Scalability refers to the capability of a system to increase total Throughput under an increased load when resources are added. It can be seen from two different perspectives:

  • Vertical scalability: ( otherwise known as scaling up) means to add more hardware resources to the same machine, generally by adding more processors and memory.

  • Horizontal scalability: (otherwise known as scaling out) means to add more machines into the mix, generally cheap commodity hardware.

The following image is a synthetic representation of the two different perspectives:

Both solutions have pros and cons: generally vertical scaling requires a greater hardware expenditure because it needs upgrading to powerful enterprise servers, but it's easier to implement as it requires fewer changes in your configuration.

Horizontal scaling on the other hand, requires little investment on cheaper hardware (which has a linear expenditure) but it introduces a more complex programming model, thus it needs an expert hand as it concerns configuration and might require some changes in your application too.


You should also consider that concentrating all your resources on a single machine introduces a single point of failure, which is the case if you choose an extreme type of vertical scaling.