Case Study: Coinbase reduces scaling time with MongoDB Atlas

Coinbase cuts scaling time by 60% with MongoDB

Coinbase, a cryptocurrency exchange, faced the challenge of scaling its database clusters to keep up with highly volatile and unpredictable traffic without degrading performance for its users. To address this, they worked with MongoDB and utilized MongoDB Atlas to accelerate cluster scaling and reduce downtime during market surges.

The solution architected with MongoDB involved building a machine learning model to predict traffic spikes and automatically trigger parallel scaling in MongoDB Atlas. This reduced cluster scaling time by 60%, from over 70 minutes down to 25 minutes, and accelerated new cluster deployment by 3.25 times, resulting in a more resilient platform and a seamless customer experience.

Coinbase