Case Study: Server Density achieves high-throughput scalability and real-time performance with MongoDB

Server Density - Customer Case Study

Server Density is a real‑time server and website monitoring service that collects metrics from hundreds of thousands of systems and must handle thousands of writes per second. Running on MySQL created millions of rows per month and caused replication, initial sync, and scaling problems as data volumes grew, so the company needed a database that could sustain high‑throughput writes and seamless scaling.

Server Density moved to MongoDB as its primary data store for customer records, time‑series metrics, and high‑rate messaging queues, using replica sets and sharding with automatic failover across data centers. The deployment now ingests about 12 TB/month and 3,000–4,000 updates/second on a 30‑server cluster, delivering faster queries, lower disk usage, simplified scaling and operations, quicker feature delivery, and reduced infrastructure costs.

Server Density

David Mytton

Founder