Save, Grow and Innovate using AWS Databases
summary
Claims that Amazon Aurora gives 3–5× throughput over MySQL/Postgres with six-way replication and continuous backups, that Amazon DynamoDB handles 10 trillion requests per day and 20M req/s peaks with serverless auto-scaling and point‑in‑time recovery, and that Amazon DocumentDB is MongoDB 3.6/4.0 compatible for easy lift‑and‑shift. Migration stack uses AWS DMS plus Schema Conversion Tool and migration playbooks; Database Freedom offers incentives. Concrete performance numbers, tools used, and migration results drive the decision.
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chapters (20)
- 0:00Intro
- 0:45Rapid expansion of data requirements
- 2:34Self-managed databases
- 4:03Fully-managed services on AWS
- 6:16Move to fully-managed databases
- 7:07Move to managed relational databases
- 8:41Move to managed non-relational databases
- 9:34Old-guard database providers
- 10:12Amazon Aurora
- 11:46App architectures & patterns
- 13:00Modern application requirements
- 13:50Building modern apps with purpose-built databases
- 15:31Amazon DynamoDB
- 17:03Amazon DocumentDB
- 18:18Database Freedom: Break free from legacy databases
- 18:50Legacy databases to AWS migration playbooks
- 20:15Why involve a partner?
- 20:40AWS migration partners
- 20:57Learn databases with AWS Training and Certification
- 21:15Get started
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