Quiz and Summary
Explore key AWS disaster recovery and high availability concepts to understand RTO and RPO metrics, design Multi-AZ and multi-Region architectures, select cost-effective recovery strategies, and implement automated self-healing systems to ensure business continuity.
This chapter established the full life cycle of business continuity design on AWS, beginning with quantifying recovery objectives and ending with self-healing architectures that detect and remediate failures without human intervention. The content covered RTO/RPO fundamentals, Multi-AZ and multi-Region design patterns, the four canonical disaster recovery strategies, AWS Elastic Disaster Recovery, resilient data architecture, and automated recovery mechanisms.
RTO, RPO, and Business Continuity Design
Business continuity on AWS starts by translating SLAs into RTO (maximum acceptable downtime) and RPO (maximum acceptable data loss). These metrics directly determine whether a workload needs synchronous replication, asynchronous replication, or backup-based recovery. Workloads are grouped into tiers: critical systems require low RTO/RPO with active-active or warm standby designs; business systems use pilot light; and noncritical systems rely on backup ...