Every engineering organization that strikes a chord with customers eventually runs into scaling issues. Scaling a product and an organization puts new demands on both your processes and your infrastructure. In this post, we highlight how our company tackled one of many infrastructure scaling challenges: Scalable writes to the (Postgres) database using Spring & Spring Data.

As we grew our userbase, we began to run into some performance issues, primarily bottlenecked by our upstream Postgres database. Our RPS went over 180 (from < 50) in just a few months, and we started running into problems like SQL connection timeouts, dropped connections, and significantly increased latency. This led to a degraded customer experience, which was unacceptable.