Paper

In this post, we’ll walk through how Amazon Aurora works under the hood, based on the paper Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases. Amazon Aurora TL;DR In the cloud era, OLTP databases need both high performance and resilience to failures. Aurora pushes the separation of compute and storage further by introducing a distributed storage service responsible for redo processing and page materialization. Aurora addresses the network I/O bottleneck between compute and storage by sending only redo logs describing changes, instead of writing full pages over the network. How Aurora Achieves Durability In a distributed environment, failures are always happening somewhere, ranging from temporary issues such as slow disk reads or network congestion to permanent failures of disks, nodes, or even an entire data center. A cloud database needs to remain available despite these failures. ...