Percona Live: Data Performance Conference 2016 Logo

April 18-21, 2016

Santa Clara, California

Updated Sharding Guidelines in MongoDB 3.x with Impacts of Different Storage Engines

Updated Sharding Guidelines in MongoDB 3.x with Impacts of Different Storage Engines

 19 April 01:20 PM - 2:20 PM @ Ballroom B
Experience level: 
50 minutes conference


With the changes to MongoDB since 2.6 and even more with 3.x, the decision to shard has been made a little more complex. In this presentation Kimberly will discuss the implications of recent MongoDB changes and how those come into play with the decision to shard or use one large replica set. She will review the different storage engines, their impacts on sharding and on scaling, and talk about the pros and cons for each engine with differing workloads. Additionally she will provide general sharding tips for scaling. 50 Minutes – Conference/Breakout Session Topic Areas - Architecture/Design and Scalability/Performance Audience - Intermediate


Kimberly Wilkins's picture

Kimberly Wilkins

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: Contact Information:, @dba_denizen

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