FINRA and Fannie Mae deliver data resilience with AWS
summary
FINRA and Fannie Mae describe concrete implementations: FINRA ingests several hundred billion records nightly into an S3-based lake with versioning, multi-target cross-region replication, Glacier Deep Archive cold copies, and Aurora Global DB so RPOs drop from hours to seconds; application teams deploy Lambda canaries and CI/CD pipelines for automated drills. Fannie Mae adds AWS Backup Vault Lock and S3 Object Lock in compliance mode, NetBackup to unify on-prem and cloud immutability, Step Functions/Lambda for orchestrated failover, and ongoing random restores to validate recoverability.
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chapters (21)
- 0:00Intro
- 1:06Expectations for today's talk
- 2:06How do we define data resiliency on AWS?
- 4:21What is data resiliency?
- 5:57Business impact of resilience is bigger than ever
- 8:52Shared Responsibility Model for resilience
- 11:52Data resilience using native capabilities
- 14:37Strategies for disaster recovery
- 16:42Bringing it all together
- 18:55The Consolidated Audit Trail
- 19:30FINRA the regulator
- 20:26Why protect the data?
- 21:20Data and applications
- 23:15Enterprise disaster recovery (EDR)
- 24:58Multi-Region data lake
- 25:14Database resiliency
- 27:18EDR-Applications and canaries
- 28:05Adopting AWS Backup
- 29:57Fannie Mae is a leading provider of mortgage financing in the US
- 30:42Resiliency: Where we started
- 33:52Immutable backups
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