Amazon Aurora Deep Dive: Design, migration from RDS, and cost optimization [Cloud Masters

We invited two Sr. AWS Database specialists to address common customer questions around Aurora and RDS. Specifically in this Aurora Deep Dive episode we cover:
➡️ When to use Aurora vs. RDS
➡️ Common challenges when optimizing Aurora after migrating from RDS
➡️ I/O optimization and when I/O-optimized makes sense
➡️ How to architect your Aurora databases for cost optimization
Additional Resources:
➡️ DoiT script for retrieving AWS RDS pricing for an Aurora cluster, comparing Aurora Standard and Aurora I/O-Optimized modes: gist.github.com/polius/576011...
➡️ AWS announces Reserved Instances for Amazon Aurora PostgreSQL Optimized Reads: aws.amazon.com/about-aws/what...
Key Moments:
00:00 Introduction
02:42 RDS vs. Aurora
04:32 When to use Aurora vs. RDS
07:07 Challenges when optimizing Aurora costs
09:30 I/O optimization
11:22 When to switch to I/O-Optimized
15:22 I/O on RDS vs. I/O on Aurora
17:17 Architecture design principles w/Aurora
20:06 Aurora Serverless and Global Database
21:25 RIs and engine-specific features for cost optimization
27:50 Migrating from RDS to Aurora
28:52 Migrating back to RDS
31:23 RDS vs. Aurora operational considerations
33:43 The end of DBAs?
36:02 Best Practices for ongoing Aurora cost management
About the guests:
Kate Gawron is a Senior Database Cloud Architect at DoiT International with over 20 years experience working with AWS and Oracle databases. A published author of “AWS Database Specialty Exam Guide” and online “Practical Oracle Database Security” courses, Kate helps companies refactor their databases to work optimally with AWS and Google Cloud.
Aamir Haroon is a Senior Cloud Architect specializing in databases, with over 18 years of experience as a senior database engineer in banking and insurance.