Disaster recovery restores systems, data, and services after catastrophic disruption. For generative AI deployments, it supports business continuity alongside reliability, availability, redundancy, failover, monitoring, and maintenance. section 11.1
Production disaster-recovery planning should address:
- Plan redundancy and failover so model services remain available during infrastructure or service failures. section 11.1 section 11.7
- Combine recovery planning with robust monitoring, maintenance, testing, and validation so teams can respond quickly to problems. section 11.1 section 11.7
- Account for provider dependencies, because hyperscaler reliability affects deployed services and edge SLM deployments may have different scale requirements. section 11.1
Disaster recovery is one part of a wider production responsibility set that also includes security, compliance, cost management, system integration, human oversight, and ethical safeguards. section 11.7
