MySQL on the Cloud: a Journey from Virtual Machines to Serverless Deployments
summary
Compares three concrete approaches: run MySQL on EC2 with full control, use RDS for managed backups and failover, or use Aurora/Aurora Serverless to avoid provisioning. Shows automation built with CloudWatch + SNS + Lambda that scales vertically but is fragile, with a real example where 12 hours to double storage stalls production. Notes thresholds like ~70% CPU trigger and a 5 second cold‑start for Aurora Serverless HTTP endpoint, explains compatibility with MySQL 5.6 and where each option actually works or breaks.
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chapters (10)
- 0:00Start
- 4:08ySQL & AWS
- 4:373 options
- 12:12automation
- 14:30ke autoscaling
- 15:22are they not available out of the box?
- 16:32outage
- 19:20Multiples changes
- 21:485 is running out of IOPS What can I do?
- 24:13serverless
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