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 has been a software developer for 15 years, most of that as a JVM developer, and for the last five years working with Grails and Groovy. He is a core developer on the Grails team at SpringSource, and has created over 40 Grails plugins. Burt is a frequent speaker at conferences and user groups where he shares his passion for Grails and other Groovy-based technologies, in particular those that are related to persistence, security, and performance. He is the author of "Programming Grails" and blogs at http://burtbeckwith.com/blog/

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