Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases

Session led by Dharin Shah

In this session, we delve into the intricacies of Amazon Aurora, a high throughput, cloud-native relational database designed to meet the demanding scalability and performance requirements of modern applications without compromising on the simplicity of access via SQL. The paper presents a thorough examination of the design considerations that underpin Aurora's architecture, understanding how it achieves unparalleled levels of efficiency and reliability within the cloud. We will explore key concepts such as Aurora's distributed and decentralized approach, fault tolerance mechanisms, and the optimization of data storage and retrieval processes.