Shared infrastructure, isolated tenants: Pool model multi-tenancy with Amazon Bedrock AgentCore

This article demonstrates how to build production-ready multi-tenant AI applications using Amazon Bedrock AgentCore with complete tenant isolation, service tier differentiation, and granular cost tracking.

• Implement hierarchical isolation (Tier → Tenant → User) using native AWS capabilities like Cognito, API Gateway, and S3 prefixes
• Use pool model multi-tenancy where tenants share infrastructure with logical separation through scoped identifiers and ABAC policies
• Enforce data isolation via per-tier S3 buckets with tenant-specific prefixes and Knowledge Base metadata filtering
• Achieve cost attribution at two levels: per-tier via Bedrock Projects and per-clinic via structured usage logging
• Apply Cedar authorization policies in AgentCore Policy to enforce tier-specific action boundaries on gateway tools
• Propagate tenant context through OpenTelemetry baggage for end-to-end observability and CloudWatch Logs Insights queries
• Use Token Vending Machine pattern with ABAC session tags to scope memory and DynamoDB access at the IAM level
• Implement rate limiting per tier using API Gateway usage plans with differentiated throttle and quota limits

These architectural patterns enable secure, scalable, and cost-effective multi-tenant AI applications across various domains including SaaS platforms and enterprise solutions.