Updated Sharding Guidelines in MongoDB 3.x with Storage Engine Considerations
In this revised and detailed session, Kimberly will discuss the intricacies of sharding in today's separate MongoDB versions and varied storage engines. Specific details of what sharding is, why to do it, when to do it, selection criteria with good and bad examples, the overall process for utilizing specific sharding strategies depending on your environment, application needs, and overall use cases will be reviewed.
Principal Engineer/Databases, ObjectRocket by Rackspace
Kimberly Wilkins is an ObjectRocket's Principal Engineer/Database Denizen having over 16 years working on various database platforms primarily with Oracle databases and associated products (RAC, Enterprise Manager, Exadata, GoldenGate). She has worked at ObjectRocket by Rackspace for the last 2 years supporting the MongoDB NoSQL practice area helping customers large and small with their MongoDB implementations and problems.Before that she worked on databases and apps for an early online auto auction site, re-architected multiple enterprise environments to Linux, deployed RAC (early and later versions), and worked closely with storage systems. One notable fun project was re-engineering the database and storage infrastructure 6 months before launch for SWTOR- Star Wars The Old Republic MMO game. In her sparsely indexed spare time she enjoys wine, food, and embracing a variety of knowledge from all sources - currently involving Hadoop Spark, and its peripherals. Link to video of Kim presenting on Running MongoDB at Scale for Rackspace :: Solve New York May 7, 2015: http://solve.rackspace.com/nyc2/13.html Contact Information: email@example.com, @dba_denizen