Azure AI Foundry in Production: Lessons from the Field

Azure AI Foundry has matured significantly. Here are patterns I’ve found effective when moving from proof-of-concept to production deployments.

Model Deployment Strategies

The default single-deployment approach breaks down quickly at scale. What works better is a layered strategy that separates experimentation from production traffic.

Evaluation Pipelines

Built-in evaluations are a starting point, not the finish line. Production systems need custom evaluation metrics tied to your specific use case.

More details and architecture diagrams coming soon.