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Presentation: Distributed Caching Essential Lessons

by Floyd Marinescu on Jan 09, 2007 |
Cameron Purdy presents on improving performance and scalability of applications through the use of caching to reduce load on the database teir and & clustered caching to  provide transparent- fail-over by reliably sharing live data among clustered JVMs.

Watch Distributed Caching Essential Lessons (50:51 min)

The talk was recorded by InfoQ at Javapolis 2005.  Cameron also spends a good amount of time explaining how to reduce DB load via caching strategies that apply in any caching application such as read & write-through caching, asynchronous write-behind, and others.  The talk is a must-watch to understand caching theory that works in practice.  Cameron will also be presenting on Performance and Scalablity in the Architecture Quality Attributes track at QCon, London March 14-16.

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For more information .. by Cameron Purdy

Re: For more information .. by Wes Nur

There are some very good distributed caching solution available in the market and they are doing a very good job so far. But personally I am a big fan of NCache . It is an in-memory distributed cache by Alachisoft and it is famous among the developers because of its rich and wide range of topologies. Just for the information, FREE version of NCache is also available now which is called NCache Express

Re: For more information .. by Talip Ozturk

There are some very good distributed caching solution available in the market and they are doing a very good job so far.


Hazelcast, for example, is an open source, transactional, distributed in-memory caching solution for Java. It is released under Apache license. Hazelcast users love it because it is super simple, scales dynamically and just works!

-talip
www.hazelcast.com

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