AWS手把手教你用Bedrock和LLM网关应对流量激增、跨区域高可用和租户隔离，五个模式都是实战干货。
AWS博客介绍了五种构建弹性生成式AI应用的实用模式，从使用Amazon Bedrock原生功能到通过LLM网关进行多模型编排。模式1解决API配额耗尽问题，通过后备请求重试和降级响应应对流量激增。模式2利用跨区域推理，将请求路由到不同AWS区域以最大化可用性。模式5通过LLM网关的路由和隔离机制，帮助防止多租户环境中的噪声邻居问题。其他模式涵盖重试退避、熔断器和服务降级策略。
Implementing resilience patterns with Amazon Bedrock and LLM gateway
In this post, you will learn five practical patterns for building resilient generative AI applications on AWS, progressing from native Amazon Bedrock features to multi-model orchestration using an LLM gateway. These patterns address real-world challenges such as quota exhaustion during unexpected traffic surges, maximizing availability through geographic distribution of inference, and helping prevent noisy neighbor problems in multi-tenant environments.