GenAI Ops Reliability, Resilience, and DR Best Practices
When GenAI becomes business-critical, resilience and recovery must be deliberate. This workshop defines SLAs, architecture patterns, and tested DR practices that reduce downtime and protect trust when incidents happen.
Leave with a practical reliability and DR approach that reduces downtime, improves confidence, and supports enterprise-scale GenAI usage.
Many organizations launch GenAI experiences without the reliability foundations required for business-critical operation—then struggle when real usage exposes weaknesses.
- SLAs and metrics aren’t defined or enforced: Teams can’t align expectations for availability and recovery, making reliability discussions reactive and inconsistent.
- Resilience is under-designed across dependencies: Failover and recovery considerations aren’t built into architectures that span data, model, and orchestration layers.
- DR plans exist but aren’t validated: Procedures are documented, but not tested, automated, or updated—so recovery is slow when incidents occur.
If reliability and DR aren’t intentional, GenAI becomes fragile—and trust erodes the moment the enterprise depends on it.
We help teams operationalize reliability and DR as an integrated GenAI operations capability—clear standards, resilient patterns, and repeatable recovery.
- Establish SLAs and operational metrics for availability: Define the availability, latency, and recovery expectations needed for priority GenAI use cases.
- Design resilient architectures with failover capabilities: Identify practical resilience patterns across platform, data, and orchestration dependencies.
- Plan and test disaster recovery procedures: Define DR scenarios and testing practices that validate the enterprise can recover under real conditions.
- Automate recovery and rollback processes: Establish where automation reduces time-to-recovery and prevents repeat incidents.
- Audit and update DR plans for continuous improvement: Create a cadence to review incidents, update procedures, and strengthen readiness over time.
- Establishing SLAs and operational metrics for GenAI availability
- Designing resilient architectures with failover capabilities
- Planning and testing disaster recovery procedures
- Automating recovery and rollback processes
- Auditing and updating DR plans for continuous improvement
- Define reliability expectations and SLAs aligned to business-critical GenAI use cases
- Identify architecture and dependency risks that threaten resilience and availability
- Establish DR scenarios, procedures, and a testing plan appropriate for enterprise GenAI operations
- Define where recovery and rollback automation can reduce downtime and operational burden
- Leave with a continuous improvement plan to audit and strengthen DR readiness over time
Who Should Attend:
Solution Essentials
Facilitated workshop (interactive discussion + working session)
4 hours
Advanced
Virtual whiteboard and shared document workspace