The aim of near caching is to provide a bridge between fast, in-memory, local caching and remote, massively scalable, Data Grids in such way that most recently or most frequently accessed data is quickly available while at the same time, clients still being able to transparently and seamlessly access the remote Data Grid when needed. Due to zero latency access provided for local data and the scalability offered by the possibility of going to a remote Data Grid, it's no wonder that this is one of the most demanded Infinispan patterns. In this talk, Galder will offer a detailed view of the pattern with a look at best practices for deploying it in your own environment. The talk will finish with a demo showing near caching in action!
Infinispan as a data grid has primarily been focused on strong consistency, giving up partition tolerance in exchange. However, moving forward, Infinispan plans to offer an eventually consistent model too, where users could configure Infinispan to weaken consistency in exchange for greater partition tolerance. This talk discusses some of the ideas around an eventually consistent mode for Infinispan.
31st October to 1st November 2011