A statewide records system needs low-RPO multi-Region reads and the ability to promote a secondary Region if the primary fails. Which database pattern fits?

Amazon Aurora global database fits a statewide records system that needs low-RPO multi-Region reads and the ability to promote a secondary Region if the primary fails. The pattern works because Aurora replicates to secondary Regions with typically very low replication lag, supporting regional read scaling for records queries while keeping a promote path for disaster recovery when the primary Region is impaired. That combination—cross-Region replicas plus promotion—matches civic requirements for continuity of land, licensing, or statewide case records without designing a homemade multi-Region MySQL topology. Readers in remote Regions can be served locally while writers continue against the primary until promotion is required.

A single-AZ RDS instance with no replicas and weekly mysqldump to a laptop fails by concept because it offers neither low RPO nor managed multi-Region promotion, and laptop dumps are not an enterprise DR control. ElastiCache as the only durable system of record across Regions fails because caches are not durable authoritative databases for statewide records. Amazon S3 Transfer Acceleration alone as the transactional database fails because Transfer Acceleration optimizes S3 transfer performance—it is not a relational multi-Region database with promote-on-disaster semantics.

Exam caveat: Aurora global database promotion and write forwarding behaviors must be understood; secondary lag SLOs should be monitored continuously for RPO claims. Operational check: deploy a secondary Region cluster, measure replication lag under records load, rehearse promotion in a game day, and validate application connection strings and Route 53 endpoints switch cleanly to the promoted writer.