Google I/O 2011: More 9s Please: Under The Covers of the High Replication Datastore
Alfred Fuller, Matt Wilder
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.
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.
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