Cloud Disaster Recovery (DR) combines cloud infrastructure capabilities with structured resilience planning to ensure business continuity when primary systems fail. Unlike traditional DR requiring duplicate physical data centers, cloud DR leverages geographic distribution, automated orchestration, and elastic scaling to protect workloads across regions. The core challenge lies in balancing recovery speed against operational cost—organizations must navigate trade-offs between infrastructure readiness (hot vs. cold sites), replication patterns (synchronous vs. asynchronous), and compliance requirements while maintaining acceptable Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO). Modern cloud DR extends beyond backup restoration to include failover automation, data consistency verification, business impact analysis, and specialized strategies for cloud-native workloads including Kubernetes-hosted applications and SaaS platforms.
What This Cheat Sheet Covers
This topic spans 15 focused tables and 133 indexed concepts, 128 flashcards. Below is a complete table-by-table outline of this topic, spanning foundational concepts through advanced details.
A jump-to index of every table row in this cheat sheet.
An interactive map of every table and concept in this topic.
Table 1: Core Recovery Objectives
The four fundamental metrics—RTO, RPO, RCO, and MTTR—form the quantitative foundation of every DR plan. Setting them incorrectly wastes budget (too aggressive) or leaves the business exposed (too lenient); each must be derived from a Business Impact Analysis, not estimated arbitrarily.
| Metric | Example | Description | |
|---|---|---|---|
RTO = 4 hoursSystem must be onlinewithin 4 hrs of failure | • Maximum tolerable downtime from failure to full service restoration • drives infrastructure readiness (hot/warm/cold site) and automation investment | ||
RPO = 1 hourMax 1 hr of data lossacceptable | • Maximum acceptable data loss measured in time • drives replication frequency and backup intervals. | ||
RCO = 100%All transactions mustbe consistent at DR | • Ensures data consistency across distributed systems • critical for databases where partial writes cause corruption | ||
MTTR = total downtime / number of incidents | • Average time to restore service across all incidents • measures overall DR process effectiveness and helps prioritize automation investments | ||
RCapO = 80%DR site must handle80% of prod load | • Minimum processing capacity required at the DR site • often overlooked—a site with correct data but insufficient compute capacity cannot meet RTO | ||
MTD = 8 hoursBeyond 8 hrs businessviability threatened | • Hard upper limit on downtime before irreversible business damage occurs • sets the absolute ceiling for RTO values |