自动化 RDS Postgres 到 Aurora Postgres 迁移

Ram Srivasta Kannan, Wale Akintayo, Jay Bharadwaj, John Crimmins, Shengwei Wang, Zhitao Zhu

Introduction

引言

In 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.

2024 年，Netflix 的 Online Data Stores 团队对公司范围内使用的关系数据库技术进行了全面审查。此次评估检查了我们数据库生态系统中的功能、性能和总拥有成本。基于此分析，我们决定将 Amazon Aurora PostgreSQL 作为 Netflix 团队的主要关系数据库 标准化。

Several key factors influenced this decision:

几个关键因素影响了这一决定：

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.
PostgreSQL already 已经支撑了我们大多数的关系型工作负载，这使其成为标准化的自然基础。内部评估显示，Aurora PostgreSQL 支持了我们内部服务中运行在其他关系型数据库上的超过 95% 的应用程序和工作负载。
Industry momentum had continued to shift toward PostgreSQL, driven by its open ecosystem, strong community support, and broad adoption across modern data platforms.
Industry momentum had continued to shift toward PostgreSQL, 这得益于其开放生态系统、强大的社区支持以及在现代数据平台中的广泛采用。
Aurora’s cloud-native, distributed architecture provided clear advantages in scalability, high availability, and elasticity compared to traditional single-node PostgreSQL deployments.
Aurora’s cloud-native, distributed architecture 与传统的单节点 PostgreSQL 部署相比，在可扩展性、高可用性和弹性方面提供了明显的优势。
Aurora PostgreSQL offered a rich feature set, along with a strong, forward-looking roadmap aligned with the needs of large-scale, globally distributed applications.
Aurora PostgreSQL 提供了丰富的功能集，以及与大规模全球分布式应用程序需求一致的强大、前瞻性路线图。

A Clear Migration Path Forward

清晰的未来迁移路径

As ...