Large Scale Sakai

Speaker(s): David Haines, University of Michigan

Session Abstract

Large scale Sakai installations have issues that go beyond raw performance. Large installations need to be able to have code that is scaleable, configurable, and safe. This session will discuss ways to turn production experience with Sakai tools into information to smooth future production.

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