Slides

This talk will introduce the features of MongoDB by walking through how one can building a simple location-based checkin application using MongoDB. The talk will cover the basics of MongoDB's document model, query language, map-reduce framework and deployment architecture.

Slides

How we built a new generation world wide performance monitor network with redundancy and scalability in mind, from beginning to release. In this talk we will go over: How we are using mongodb in different datacenters with replicas and how important it is for the app to work // How we used extensive loadtesting (and A/B loadtesting) in order to verify performance and functionality of our app & db. // Using MongoHQ as the "operation" team of our mongoDBs. How it works and why we choose it. // Our requirements when we started dev on this new monitor network based on our earlier experience with old network & sqlserver. // Importance of monitoring your installation and keeping track of app & performance // The need of testing the different failure situations and the complete setup (app + db).

Slides

One of the challenges that comes with moving to MongoDB is figuring how to best model your data. While most developers have internalized the rules of thumb for designing schemas for RDBMSs, these rules don't always apply to MongoDB. The simple fact that documents can represent rich, schema-free data structures means that we have a lot of viable alternatives to the standard, normalized, relational model. Not only that, MongoDB has several unique features, such as atomic updates and indexed array keys, that greatly influence the kinds of schemas that make sense.

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MongoDB supports write-ahead journaling (by default) to facilitate fast crash recovery and consistency in database files after that crash. In this session, we'll give an overview of on-disk persistence with MongoDB, journaling, and discuss the internals of journaling and the storage engine.

Slides

That's right: you too can learn to read the omens and ensure that your MongoDB deployment stays in tip-top shape. We'll look at memory usage, file sizes, flushing, journaling, and all the special incantations that reveal MongoDB's true inner self. By the end of the talk, you'll have ten concrete steps you can take to address performance degradation before it happens. You'll also get a few tips on application design and pointers on remote monitoring.

MongoDB supports a wide range of indexing options to enable fast querying of your data. In this talk we’ll cover how indexing works, the various indexing options, and cover use cases where each might be useful.

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Have you always wanted to learn how to rewrite your own HTML5 retro game using Node.js and MongoDB with a multiplayer twist to it. Come play the game, learn how it was made and fork it.

Slides

MongoDB supports replication for failover and redundancy. In this session we will introduce the basic concepts around replica sets, which provide automated failover and recovery of nodes. We'll show you how to set up, configure, and initiate a replica set, and methods for using replication to scale reads. We'll also discuss proper architecture for durability.

Slides

Sharding allows you to distribute load across multiple servers and keep your data balanced across those servers. This session will review MongoDB’s support for auto-sharding, including an architectural overview, usage patterns, as well as a few example use cases of real world sharded deployments.