A paper from the AWS team describing the design of Aurora DSQL, a distributed SQL database that aims to scale OLTP workloads across regions without giving up strong consistency. It explains how the system decouples the transaction path from storage, uses quorum based replication and a coordination layer to preserve ACID semantics globally, and keeps latency reasonable by letting regions operate with local autonomy while still agreeing on a consistent order. The evaluation is the interesting part, with measurements across different transaction types and region configurations that show where the tradeoffs actually land rather than just asserting they work.