Modernize your applications with purpose-built databases
summary
Overview of how Amazon breaks a monolith into microservices and which database to pick for each step: move on‑prem to managed RDS/Aurora, add in‑memory caching with ElastiCache or MemoryDB, then pick purpose‑built engines like DynamoDB for global scale, DocumentDB for JSON, Keyspaces for wide‑column, Neptune for graphs, Timestream for time series and QLDB for immutable ledgers. Claims include 80 million requests per second on DynamoDB during Prime Day and use of serverless offering patterns to scale without provisioning.
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chapters (10)
- 0:00Introduction and agenda
- 2:58Modern application criteria
- 7:36Decoupled architecture
- 12:36Amazon modernization journey
- 20:05The pursuit of purpose-built
- 25:08Migration playbooks
- 27:45Relational database evolution
- 37:23In-memory performance
- 42:06Non-relational alternatives
- 48:56Specialized data and wrap-up
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