DON'T GET CAUGHT BY SURPRISE: UNDERSTANDING THE READ AFTER WRITE PROBLEM
The "Read After Write" problem arises when a service attempts to read data immediately after writing it, but the changes may not be reflected in all nodes of the database yet. This is a common problem in distributed systems. This article goes over different database replication strategies, in terms of latency and data consistency. It suggests potential solutions, such as retrying reads, reading from the primary node, and accepting occasional inconsistencies depending on the application's requirements.