newsAWS Machine LearningTrust 88 · LabPublished 3d agoLive · 3d ago
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.
Covers
Covers (incoming)
Related across the graph
repolightseekorg/smgpaperMCP Server Architecture Patterns for LLM-Integrated Applicationsrepodeepset-ai/haystackrepochigwell/llm7.iorepoNetflix/metaflowreposgl-project/rbgrepovllm-project/semantic-routerrepokyegomez/swarmsrepoenvoyproxy/ai-gatewayreponudgebee/nudgebeerepokserve/kserverepokubeflow/trainer
