AWS purpose-built database recovery: A guide to business continuity and disaster recovery strategies

This article provides a comprehensive guide to implementing business continuity and disaster recovery strategies for multi-database AWS architectures, addressing two distinct scenarios based on consistency requirements.

• Purpose-built databases enable optimal performance but complicate recovery coordination across systems
• Use Case 1: Low-consistency applications can recover independently using individual database HA features
• Use Case 2: Mission-critical applications require strict data consistency across multiple backends
• Key recovery features: automated backups, PITR, cross-Region replication, global tables, and failover
• DynamoDB Streams and Lambda with DLQ mechanisms ensure reliable data synchronization
• RTO and RPO metrics guide recovery strategy selection for each database service
• Multi-Region architectures and Kinesis Data Streams provide enhanced resilience options
• Regular testing and idempotent Lambda functions prevent data loss during failures

The article emphasizes that effective recovery strategies depend on understanding specific application consistency requirements and leveraging AWS built-in features like automated backups, point-in-time recovery, and streaming mechanisms to maintain data alignment across purpose-built databases.