We have been using MongoDB in production since June 2009 as the backend to our server monitoring application, Server Density.

MongoDB bridges the gap between key-value stores (which are fast and highly scalable) and traditional RDBMS systems (which provide rich queries and deep functionality). MongoDB (from “humongous”) is a scalable, high-performance, open source, document-oriented database.

We also have an advanced MongoDB monitoring tool.

Post index

• Automating partitioning, sharding and failover with MongoDB
• Choosing a non-relational database; why we migrated from MySQL to MongoDB
• Goodbye global lock – MongoDB 2.0 vs 2.2
• How far does your oplog go back?
• MongoDB connection overhead
• MongoDB, CPU cores and vmmemctl
• Map reduce and MongoDB
• MongoDB monitoring
• MongoDB on VMWare
• MongoDB vs Cassandra
• Notes from a production MongoDB deployment
• On shortened field names in MongoDB
• Queueing MongoDB using MongoDB
• Real world MongoDB benchmarks with benchRun
• Reclaiming memory from MongoDB indexes
• Replacing RabbitMQ with MongoDB