Case Study: Leading Healthcare Analytics Company achieves 20–30% performance gains and global read-replica scalability with DatAvail's Amazon Aurora optimization

Optimizing & Scaling Amazon Aurora for Healthcare Analytics Company

Leading Healthcare Analytics Company faced performance and scalability limits from its on‑prem infrastructure as daily case volumes grew (short‑term goal 1,000/day, eventual 2,000/day). They were constrained by a single cross‑region Amazon Aurora replica (EU) and needed reduced latency and additional read replicas for the UK and Japan, so they engaged DatAvail to improve headroom and application performance.

DatAvail delivered a three‑phase solution: a performance and scalability assessment to cut CPU usage and address slow queries, longer‑term architecture selection with multi‑region read replicas, security/encryption and cost‑optimized AWS/database recommendations, and implementation of cross‑region read replicas for UK and Japan. DatAvail right‑sized the database on Amazon Aurora, produced a 20–30% performance improvement versus the on‑prem environment, enabled immediate geographic replication, and improved availability and disaster recovery.