Distributed Caching Essential Lessons (Ts 1402)

Oct 16, 200755 likes6,389 views

Cameron Purdy, president of Tangosol, gave a presentation on distributed caching strategies. He discussed replicated, partitioned, and near caching topologies. Replicated caching provides extremely fast reads but limited scalability. Partitioned caching offers linear scalability as the cluster size increases but with a fixed read cost. Near caching combines local caching for fast access to hot data with a partitioned backend for full data scaling. Cache-through and cache-aside architectures were also covered.

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2nd Session - Distributed Caching: - What is Distributed Caching - Performance hurdles solved by Distributed Caching - When to use Distributed Caching - Patterns to Populate a Distributed Cache - How to use Distributed Caching in OutSystems Free Online training: https://www.outsystems.com/learn/courses/ Follow us on Twitter http://www.twitter.com/OutSystemsDev Like us on Facebook http://www.Facebook.com/OutSystemsDev

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