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Scaling Your Cache & Caching at Scale
Recorded at:

by Alex Miller on Jun 07, 2010 | NOTICE: The next QCon is in San Francisco Nov 3-7, Join us!
58:16

Summary
Alex Miller explains shortly why caching is useful, followed by examples of typical difficulties encountered when setting up a cache, like large datasets, data eviction, stale data, replication, loading, duplication. Miller also discusses available choices for designing a distributed caching architecture, and ways to test a cache for performance.

Bio

Alex Miller is a Tech Lead for Terracotta, the makers of the open-source Java clustering product with the same name. Prior to Terracotta, Alex worked at BEA Systems and was Chief Architect at MetaMatrix. His interests include Java, concurrency, distributed systems, languages, and software design. Alex enjoys tweeting as @puredanger and blogging at http://tech.puredanger.com.

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