GenAI Reliability, Resilience, & DR Best Practices
As GenAI workloads move into production, reliability risks expand beyond models to infrastructure, pipelines, and dependencies. Without explicit resilience and disaster recovery design, failures become costly, prolonged, and difficult to recover from.
To win, your GenAI solutions must be built with measurable reliability, fault tolerance, and tested recovery paths.
When GenAI reliability and resilience are underdeveloped, teams face preventable outages and operational risk:
- Undefined reliability targets: Teams lack clear metrics and KPIs that define acceptable GenAI system behavior.
- Fragile system design: GenAI pipelines are not engineered for fault tolerance or high availability.
- Untested recovery paths: Disaster recovery plans exist on paper but fail under real failure conditions.
These weaknesses lead to prolonged downtime, user impact, and loss of confidence in GenAI services.
In this hands-on workshop, your team applies reliability and resilience best practices to harden GenAI systems against real-world failures.
- Define GenAI reliability metrics and KPIs aligned to service expectations.
- Design architectures that support fault tolerance and high availability.
- Implement disaster recovery plans tailored to GenAI workloads.
- Simulate failure scenarios to validate resilience and recovery behavior.
- Embed reliability practices directly into deployment and monitoring workflows.
- Defining GenAI Reliability Metrics and KPIs
- Designing for Fault Tolerance and High Availability
- Implementing Disaster Recovery Plans for GenAI Workloads
- Simulating Failure Scenarios and Resilience Testing
- Embedding Reliability into Deployment and Monitoring
- Defining GenAI Reliability Metrics and KPIs
- Designing for Fault Tolerance and High Availability
- Implementing Disaster Recovery Plans for GenAI Workloads
- Simulating Failure Scenarios and Resilience Testing
- Embedding Reliability into Deployment and Monitoring
Who Should Attend:
Solution Essentials
Facilitated workshop (in-person or virtual)
4 hours
Intermediate
Infrastructure platforms, monitoring systems, and resilience testing tools in a guided environment