Data in the Cloud
summary
Argues that the traditional LAMP stack gives way to a mixed ensemble where MySQL sits alongside MongoDB, Cassandra, Sphinx and Hadoop; cloud deployments favor replication for reads and sharding for writes, hybrid clouds (Amazon EC2/EBS/S3 with Eucalyptus) and multi-engine apps. Cites 10x growth steps, 30% of humans online, ~6 billion connected devices, and Google’s MySQL MTBF estimate of 400 years to stress planning for failures. Uses Facebook as an example of near‑real‑time, highly available storage that still relies on MySQL.
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chapters (12)
- 0:00Introduction
- 3:43The MySQL Story
- 6:25Open Source
- 9:36Databases
- 13:50Performance
- 14:30Key Value Stores
- 15:20Summary of Input
- 16:50Facebook
- 17:40Failures
- 18:24Cloud Services
- 20:32Connected Devices
- 21:22Social
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