Multi-Cloud Database Architecture: Oracle, AWS, Azure, GCP Reference Guide
Six months ago, our CTO announced we were moving to a "multi-cloud strategy." The board wanted vendor independence. Engineering wanted best-of-breed services. Finance wanted competitive pricing.
I was the DBA who had to make it actually work.
Designing multi-cloud database architecture isn't about running the same database everywhere. It's about knowing which workload belongs on which platform, how to synchronize data across clouds, and when vendor lock-in is actually acceptable.
This guide covers reference architectures from production systems running across Oracle on-premises, AWS RDS, Azure SQL Managed Instance, and GCP AlloyDB. If you're a DBA planning or managing multi-cloud databases, these are the patterns that work.