Multi Cloud Disaster Recovery
Use When
- Business continuity requirements are strict
- Regional outages must be survivable
Workflow
- Define RTO and RPO per critical journey
- Document dependency inventory and failover order
- Implement backup and restore automation
- Run failover drills with measured outcomes
- Maintain runbooks and communication templates
Required Checks
- Failover drill meets RTO/RPO targets
- Data consistency validated after recovery
- DNS and traffic shift procedures tested
- Rollback from failed failover documented
Decision Framework
- Prefer explicit contracts and compatibility rules before implementation.
- If dependency risk is high, require timeout, retry, and fallback strategy per call path.
- If async messaging is used, require idempotency, replay, and dead-letter handling.
- If traffic patterns are volatile, require load, failover, and scaling validation before ship.
Common Rationalizations And Rebuttals
- "Retries will handle failures automatically." -> Unbounded retries can amplify outages; use budgets.
- "We can skip runbooks for now." -> Operational ambiguity delays incident recovery.
- "Contract changes are minor." -> Small breaking changes cause broad downstream regressions.
Evidence Pack
- Contract compatibility note and migration strategy (if applicable)
- Failure-mode test evidence for dependency degradation and recovery
- Observability snapshot (latency, error, saturation, or queue health)
- Rollout and rollback steps with clear trigger thresholds
Exit Criteria
- Workflow is production-ready with verified evidence
- Operational and security guardrails are in place
- Release and rollback expectations are documented
