Finding Love with MongoDB

Oliver Dodd

Senior Software Engineer at eHarmony

February 20, 2013

How eHarmony used MongoDB as a scalable, read intensive, multi-attribute search engine for a key application in the backend matching infrastructure. We will go over the lessons we learned regarding cluster setup, indexing, data modeling, and application behavior in order to get the best search performance out of our MongoDB cluster.