Cloud Masters Episode #124
Amazon Aurora Distributed SQL (DSQL): How it works and when Aurora DSQL makes sense for your workloads
Learn when Amazon Aurora DSQL is the right choice for your applications, what changes you’ll need to make during migration, and how to handle its unique approach to optimistic locking.
Cloud Masters Episode #124

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Cloud Masters
Cloud Masters
Amazon Aurora Distributed SQL (DSQL): How it works and when Aurora DSQL makes sense for your workloads
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Cloud Masters
Cloud Masters
Amazon Aurora Distributed SQL (DSQL): How it works and when Aurora DSQL makes sense for your workloads
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Episode notes

Key Moments

00:00: Intro
00:41: Aurora DSQL vs. standard Aurora
01:45: Transaction isolation and microVM architecture
04:43: DSQL vs. Aurora Limitless
05:54: Optimistic locking
07:50: Conflict handling w/optimistic locking
09:02: Transaction retries with Aurora DSQL
11:01: Optimistic locking vs. pessimistic locking
13:10: Re-architecting for Aurora DSQL
15:55: Foreign keys and referential integrity tradeoffs
19:31: Flexibility advantages over DynamoDB
22:36: Database migration considerations
25:01: Aurora dSQL migration steps
28:25: AWS release strategy and future updates

About the guests

Kate Gawron
Kate 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.
Kate 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.

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