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From our Customers

With foursquare's growing popularity, we were fast approaching the point where it would no longer be feasible to store user checkins on a single physical machine. MongoDB's auto-sharding capabilities enabled us to easily transition to a multi-node cluster that will enable us to continue to grow for the foreseeable future.

Harry Heymann Engineering Lead, foursquare

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Scaling foursquare with MongoDB

Harry Heymann, foursquare


Video

This is Harry Heymann's presentation to the New York MongoDB User Group. After the presentation Harry answered questions on a variety of topics for almost 45 minutes. The Q & A is available here.

Harry Heymann, the Engineering Lead for foursquare, presents to the New York MongoDB User Group on scaling foursquare with MongoDB. Before joining foursquare, Harry spent five years at Google where he worked on Google Payments, Dodgeball and various backend advertising systems. Previously, he held roles at Microsoft and Intel. Harry has a bachelor's degree in engineering from Carnegie Mellon University. In addition to pursuing his obvious interest in mobile technologies, Harry is currently obsessed with exploring the Scala programming language.

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