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MongoDB in London

This is a guest post by James Chesters, Community Manager for Skills Matter MongoDB blew through London last week like an Oxfordshire twister — bringing talks and a practical tutorial to the community. Skills Matter’s Progressive NOSQL Tutorials offered three days of NOSQL talks and hands-on workshops, and wearing the MongoDB mantle was 10gen’s own Chris Harris, along with David Mytton of Server Density. Chris Harris presented on MongoDB and Document Databases, answering burning questions like “What is a document database?” “Why was MongoDB created?” and “Why did they call it that?” before moving on to schema design, JSON and how MongoDB can scale with your application needs. You can watch the full video on the Skills Matter site. David Mytton — founder of Server Density and an organiser of the popular London MongoDB User Group — presented on MongoDB performance at scale. David discussed important deployment considerations, including how to scale reads and writes, bottlenecks (and how to resolve them) and how to deploy redundantly across clusters of machines. You can watch the full video here . On top of the talks, Chris Harris also delivered a shining and practical MongoDB tutorial, walking through how one can building a simple location-based checkin application using MongoDB. Check it out here . MongoDB UK : June 20th The MongoDB community in London continues to gather momentum — and you should become a part of it! MongoDB UK comes to the capital on June 20th — and we want to hear your MongoDB experiences: submit a proposal by tomorrow, May 15th, or enjoy the talks as an attendee, and get your early bird ticket . Early bird prices end today, so take advantage of the reduced prices before it’s too late! MongoDB UK this year will feature 5 tracks, featuring the excellent talks from 10gen engineers and MongoDB community that you’ve come to expect — and this year there is the added opportunity to book a slot to talk to the 10gen experts. Just sign up before the conference to get a 15-minute slot with a 10gen team member. London MongoDB User Group : May 29th Have you joined the London MongoDB User Group yet? The next meeting is May 29th at the shiny new Google Campus in Shoreditch — and will feature lightning talks on a variety of topics. This is your chance to share in a friendly and supportive community your MongoDB project, or you can talk for a few minutes about something you have learned using MongoDB. Come join the fun: RSVP here , and let us know if you’d like to give a lightning talk! Tagged with: community, open source, london, UK, silicon roundabout, MongoDB, Mongo, NoSQL, Polyglot persistence, 10gen

May 13, 2012

Photos from the London MUG Meetup

10gen CEO and Co-Founder Dwight Merriman visited the London MongoDB User Group on January 31st, presenting Crazy Stuff: hacks, internals, and sneaky tricks. Tagged with: mongodb, 10gen, dwight merriman, london, MUG, nosql, big data, uk, england Shutterfly, a leading Internet-based social expression and personal publishing service, safeguards more than six billion images for millions of customers. As the only photo sharing site that does not down-sample, compress, or force delete photos, Shutterfly faced massive data growth that pushed the performance limits of its existing Oracle database. After an extensive analysis of open source relational and non-relational alternatives, Shutterfly chose MongoDB as its persistent data store. Before implementation of MongoDB, Shutterfly stored its more than 20 TB of photo metadata in an Oracle RDBMS, vertically partitioning the data by function. The complex infrastructure became hard to manage after a decade of development and made development of new features difficult to execute quickly or correctly. The situation was further exacerbated by the the high costs associated with licensing and hardware. These challenges compelled the Shutterfly team to look at open source options that would also provide improved performance and a simpler API at a reduced cost. Shutterfly chose MongoDB as its new storage solution primarily because the data model matched common use cases. The rich JSON-based data structure was easy for the development team to use, reduced time to market for new features, and could be leveraged for many different projects. In addition, Shutterfly saw significant performance improvements with the more natural data model. Finally, the MongoDB solution was cost-efficient, providing an open source solution that would enable them to scale horizontally across commodity hardware. Shutterfly's migration to MongoDB resulted in a 900% performance improvement when compared to their previous Oracle implementation. In terms of cost, Shutterfly realized a 500% reduction in moving from Oracle to MongoDB. Overall, MongoDB provided Shutterfly with a high performance solution at a significantly reduced cost. To learn more, read the full case study , or for more resources, check out Shutterfly's Kenny Gorman's presentation at MongoSV 2010  ...Sharing Life’s Joy using MongoDB: A Shutterfly Case Study“ or the follow-up Q&A with Gorman hosted by More recently, at MongoSF 2011 Gorman presented on ...MongoDB Profiling and Tuning.“ Tagged with: MongoDB, Shutterfly, 10gen, case study, nosql, big data

February 1, 2012