The AWS Machine Learning Blog describes a production reference deployment for the Claude apps gateway, a self-hosted governance layer positioned between Claude clients — Claude Code and Claude Desktop — and Amazon Bedrock or Claude Platform on AWS. The post outlines the end-to-end architecture, enterprise deployment patterns, cost considerations, and implementation resources.
Why it matters
A governance layer between AI clients and backend platforms gives enterprises a control point for managing how Claude is used across workloads, addressing operational needs when deploying at production scale.
Who should care
Teams running Claude on AWS infrastructure, along with those responsible for enterprise deployment architecture and cost planning around Amazon Bedrock or Claude Platform.