Reliability Patterns for AI-Powered Apps in Azure AI Foundry

AI applications promise transformative capabilities but introduce unique failure modes, such as hallucinations, latency spikes, data drift, and cost overruns, that traditional SRE practices don't fully address. This session explores proven reliability patterns, retries with exponential backoff, circuit breakers, graceful degradation, and human-in-the-loop guardrails tailored for Microsoft Foundry workloads, where observability covers agent traces, quality metrics, and safety evaluations. You'll see live demos of implementing these in Foundry projects using zone-redundant storage, multi-region failover, and built-in content filters to achieve production-grade resilience while maintaining trust and compliance.