Clustering a Grails Application for Scalability and Availability

How is your lone web server going to handle all the traffic you'll get when it lands on Slashdot or the front page of Digg? Probably not well. To prepare for all of this popularity you're going to need multiple servers, but there's more to it than buying hardware.

In this talk we'll look at implementing Tomcat's HTTP Session clustering, distributed second-level Hibernate caching using EhCache, and using the JDBC store feature of Quartz so your servers can handle the load while maintaining consistent data.

About Burt Beckwith

Burt Beckwith is a Java and Groovy developer with over ten years of experience in a variety of industries including biotech, travel, e-learning, social networking, and financial services. For the past three years he's been working with Grails and Groovy full-time. Along the way he's created over fifteen Grails plugins and made significant contributions to several others. He was the technical editor for Grails in Action.

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