More 9s Please: Under The Covers of the High Replication Datastore
For the first three years of App Engine, the health of the datastore was tied to the health of a single data center. Users had low latency and strong consistency, but also transient data unavailability and planned read-only periods. The High Replication Datastore trades small amounts of latency and consistency for significantly higher availability. In this talk we discuss user-facing and operational issues of the original Master/Slave Datastore, and how the High Replication Datastore addresses these issues.
Track: App Engine
Time: May 11, 10:45AM – 11:45AM
Room: Room 10
About Alfred Fuller
Alfred joined Google after getting his Ph.D. in Computer Science from the University of California, Davis. Since joining Google's App Engine team, he has worked primarily on improving the Datastore.