Scott Delap and Randy Stafford explain the architectural decisions made in order to scale, monitor and operate the game League of Legends, bringing insight on how they use Oracle Coherence for that.
Billy Newport discusses the ways that developers interact with key/value stores, entity vs column-oriented approaches, sync vs async operations, large data sets, and collocating closures and data.
Brian Oliver explains a number of data grid design patters: Command, Functor, Messaging, and Push Replication. He also mentions some traditional patterns used so far and Coherence Incubator.
Cameron Purdy explains techniques used to process data in a grid, presents examples of data grids solving complex problems and introduces Coherence, Oracle’s data grid solution.
Brian Oliver explains what the Reconciliation Process is, why the current approach to reconciliation based on client-server is no longer suitable and how data grids and events might help.
Cameron Purdy shows how to improve performance via caching architectures to reduce database load & clustered caching to provide transparent fail-over.