Case Study: Flowcore achieves 80-90% cache hit rates with CAST AI’s Database Optimizer

Flowcore achieves 80-90% cache hit rates with CAST AI

Flowcore, a startup providing a developer-first real-time data platform, faced significant operational challenges due to its complex infrastructure of databases across multiple clouds and Kubernetes environments. Their manually managed database caching had become a bottleneck, introducing latency, risk of data inconsistency, and complexity. This challenge prompted them to activate the Database Optimizer (DBO) from CAST AI.

The integration of CAST AI's DBO was straightforward and handled cache invalidation automatically. The solution delivered cache hit rates of 80-90%, which reduced database hits by 90% for substantial cost savings on I/O-bound servers. CAST AI's solution also improved performance, speeding up some queries by up to 100 milliseconds.

Flowcore