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InfoQ Homepage Presentations Scaling Your Cache & Caching at Scale

Scaling Your Cache & Caching at Scale

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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.

About the conference

QCon is a conference that is organized by the community, for the community.The result is a high quality conference experience where a tremendous amount of attention and investment has gone into having the best content on the most important topics presented by the leaders in our community.QCon is designed with the technical depth and enterprise focus of interest to technical team leads, architects, and project managers.

Recorded at:

Jun 07, 2010

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