AWS has published guidance on implementing resilient generative AI architectures using Amazon Bedrock and LLM gateways. The recommended patterns include cross-Region inference, intelligent request routing, automatic failover, circuit breakers, retries, account sharding, and centralized gateway services that distribute traffic across multiple foundation model providers.
AWS also highlights governance capabilities such as rate limiting, observability, security controls, and cost management through a unified gateway layer.
These resilience patterns help organizations maintain application availability during outages, reduce latency, and support production-scale AI workloads while remaining flexible across different models and providers.
