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Deep-dive explainers on the operational concepts behind Azure AI Foundry. Each article picks one slice of the platform — deployment types, lifecycle, residency — and walks through it end-to-end with an analogy that's meant to stick.
Deployment types, explained
Twelve deployment types, three orthogonal choices, one restaurant analogy. Standard vs Provisioned vs Batch crossed with Single region vs Data Zone vs Global, plus Priority, Serverless, and Managed Compute — with a decision framework and PTU break-even.
15 min read Read →
Model lifecycle, explained
Five statuses (Preview, GA, Retiring, Deprecated, Unknown) with the Broadway analogy that explains why Microsoft picked the word "Preview" in the first place. Notice windows, ARM enum mapping, and operational decision rules for production teams.
10 min read Read →
More to come — regions & data residency, PTU and reservations, capability tiers. Got a topic you want covered? Send a note.