From Shared Database to APIs: Taming the Performance Hit
How to cut the latency cost of moving from a shared database to an API-driven architecture, using caching, request aggregation, and async writes.
How to cut the latency cost of moving from a shared database to an API-driven architecture, using caching, request aggregation, and async writes.
When two services share one database, a schema change in either one can silently break the other, and here is how to split ownership with APIs or events.