From initial idea to executionlearn about Canva's journey migrating MySQL workloads from Amazon RDS to Aurora at scale. Discover how Canva achieved meaningful performance improvements, cost savings, and operational efficiencies through this strategic migration. This lightning talk shares real-world insights on planning and executing large-scale database migrations, key Aurora best practices for optimizing cost and performance, and how the latest monitoring features help maintain efficiency as you scale. Learn how AWS Countdown Premium (CDP) accelerated and de-risked Canva's migration, delivering tangible business value while minimizing operational disruption.
What this session is about
Playbook
Editorial commentary · what to actually do about this on Monday
The concept
RDS MySQL → Aurora migration at scale. Performance gains, cost savings, operational efficiencies. Real-world insights on planning and de-risking.
Why it matters
At Canva-scale data volumes, even single-digit % gains translate to millions per year. The migration math compounds.
The hard parts
Schema changes, connection pool management, replication lag during cutover, application-level retries. Aurora isn't a drop-in for MySQL in every case.
Playbook moves
(1) Use Aurora Backtrack as your safety net during cutover — it's a proper "undo" you don't get with MySQL. (2) Run a failover drill before production cutover, not after. (3) Right-size connection pools — Aurora's connection limits behave differently.
The surprise
The most underrated Aurora feature isn't performance — it's *storage decoupling for clones*. You can spin up a full prod-fidelity clone in minutes for testing, with no storage cost duplication. Use clones for staging, load testing, and pre-prod validation. Most teams underuse this.
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Independent editorial perspective — not an official AWS or speaker statement. Designed for executives evaluating what to brief their teams on next.
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