Automating RDS Postgres to Aurora Postgres Migration

**Automating RDS Postgres to Aurora Postgres Migration**

Ram Srivasta Kannan, Wale Akintayo, Jay Bharadwaj, John Crimmins, Shengwei Wang, Zhitao ZhuIntroductionIn 2024, the Online Data Stores team at Netflix conducted a comprehensive review of the relational database technologies used across the company. This evaluation examined functionality, performance, and total cost of ownership across our database ecosystem. Based on this analysis, we decided to standardize on Amazon Aurora PostgreSQL as the primary relational database offering for Netflix teams.Several key factors influenced this decision:PostgreSQL already underpinned the majority of our relational workloads, which made it a natural foundation for standardization. Internal evaluations revealed that Aurora PostgreSQL had supported over 95% of the applications and workloads running on other relational databases across our internal services.Industry momentum had continued to shift toward PostgreSQL, driven by its open ecosystem, strong community support, and broad adoption across modern data platforms.Aurora’s cloud-native, distributed architecture provided clear advantages in scalability, high availability, and elasticity compared to traditional single-node PostgreSQL deployments.Aurora PostgreSQL offered a rich feature set, along with a strong, forward-looking roadmap aligned with the needs of large-scale, globally distributed applications.A Clear Migration Path ForwardAs part of this strategic shift, one of our key initiatives for 2024/2025 was migrating existing users to Aurora PostgreSQL. This effort began with RDS PostgreSQL migrations and will expand to include migrations from other relational systems in subsequent phases.As a data platform organization, our goal is to make this evolution predictable, well-supported, and minimally disruptive...

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