Circuit Breakers for AI Systems: Preventing Cascade Failures
Circuit breakers are essential for AI systems that depend on external APIs. They prevent resource exhaustion, protect downstream services, and enable…
11 articles
Circuit breakers are essential for AI systems that depend on external APIs. They prevent resource exhaustion, protect downstream services, and enable…
Graceful degradation is about providing the best possible experience given current constraints. Plan for every level of degradation and communicate clearly…
Fallback patterns ensure your AI application remains useful even when primary services fail. Design your fallbacks to maintain the best possible user…
Smart retry strategies balance reliability with resource efficiency. The key is adapting behavior based on error type, system state, and business requirements.
Resilience : Failover when one provider has outages Cost optimization : Route to cheaper models when possible Capability matching : Use best model for each…
This concludes our June 2023 series on Azure, Data, and AI topics. We covered: Microsoft Fabric deep dives (Lakehouse, Delta Lake, OneLake) Power BI Direct…
Fallback patterns ensure continuous service availability. Tomorrow, I will cover circuit breakers for AI applications.
Azure OpenAI rate limits in mid-2023 are set per deployment per region, and hitting them is a normal operating condition rather than an exceptional one for…
Robust error handling ensures AI applications remain useful even during failures. Tomorrow, I will cover retry strategies in more depth.
Chaos engineering is the practice of experimenting on a system to build confidence in its ability to withstand turbulent conditions. Netflix pioneered this…
The Circuit Breaker pattern is essential for building resilient microservices. Polly provides a mature implementation with advanced features like sampling…