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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