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Build a serverless AI Gateway architecture with AWS AppSync Events

Machine Learning Blog



This article presents a serverless AI Gateway architecture using AWS AppSync Events to manage secure, scalable access to large language models through Amazon Bedrock.

  • AppSync Events provides low-latency WebSocket API for real-time LLM response streaming to users
  • Amazon Cognito handles user authentication; Lambda functions enforce channel-based authorization
  • DynamoDB tracks token consumption with rolling 10-minute windows and monthly static limits
  • Rate limiting prevents excessive model usage and controls costs through atomic counters
  • CloudWatch Logs captures structured logs from AppSync and Lambda for troubleshooting
  • Amazon Data Firehose streams logs to S3 in Parquet format for analytics
  • AWS Glue Data Catalog and Athena enable SQL queries on usage patterns and performance metrics
  • CloudWatch metrics track token consumption and latency by model in real-time dashboards
  • DynamoDB caching stores prepared responses for frequently asked questions to reduce costs
  • Sample application estimated at $35-55 monthly for light development use
  • Complete source code and deployment instructions available on GitHub

The architecture demonstrates enterprise-grade patterns for building production AI applications with comprehensive identity, authorization, metering, observability, and analytics capabilities.



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