Managing Databases at Scale - AWS
summary
Recommendation: offload routine ops to a managed service and apply the concrete controls shown here. Claim: using Amazon RDS cuts undifferentiated heavy lifting so teams focus on schema and query tuning. Tools demonstrated: IAM, AWS Organizations, Secrets Manager, CloudFormation, CloudWatch, RDS proxy, Performance Insights and AWS Backup. Specific features to adopt: database parameter groups, automated backups and snapshots, cross‑region read replicas and Aurora auto scale storage and serverless for writes. Scale examples: hundreds of thousands of customers, tens-to-thousands of databases.
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chapters (9)
- 0:00Intro
- 2:17who span the spectrum of scale
- 5:45So you adopt a managed database service...
- 6:22Tips for database management at scale Use fine-grained resources with flexible hierarchy
- 9:23Centralize management of those resources • Use centralized governance and management tools
- 10:35Standardize and script your deployments Set standard DB configurations for dev and prod
- 12:58Auto-scale where possible Use cloud-native automation for scaling
- 15:01Offload the undifferentiated heavy lifting Use cloud-native automation for
- 17:12Watch the application-database interface
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