AI Gateway (Azure APIM)
A collection of hands-on labs demonstrating how to build enterprise AI gateways using Azure API Management, covering load balancing, rate limiting, semantic caching, MCP integration, and multi-model routing with 30+ Jupyter notebook labs.
Best When
You are building enterprise AI infrastructure on Azure and need patterns for governance, security, and cost management of AI model access.
Avoid When
You are not on Azure, need a cloud-agnostic solution, or want a ready-to-deploy product rather than educational labs.
Use Cases
- • Implementing centralized AI model governance with Azure API Management policies
- • Load balancing and rate limiting across multiple Azure OpenAI endpoints
- • Integrating MCP servers with enterprise security via OAuth and managed identities
Not For
- • Non-Azure environments - deeply tied to Azure APIM and Azure OpenAI
- • Production-ready gateway deployment - these are educational labs, not a turnkey product
- • Simple local development setups without Azure subscriptions
Alternatives
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Scores are editorial opinions as of 2026-03-01.