Start here. This is the direct spoken answer to practice first.
Why this question matters
A strong local model reduces ambiguity, but production still requires deliberate infrastructure and operational choices. The important step is translating resource intent while preserving security, reliability, and release ownership.
I begin with the Aspire application model as a description of services, dependencies, endpoints, and resource requirements. Then I choose the production target from the workload and team's operating model, such as Azure Container Apps, App Service, Kubernetes, or another platform. I map local containers to appropriate production resources instead of copying them blindly: a database or cache may become a managed service, and credentials should become workload identity or secret-manager references. The deployment pipeline builds immutable artifacts, provisions reviewed infrastructure, applies environment configuration, deploys in a safe order, and runs health and smoke checks. The local AppHost is not left running as the production orchestrator; the target platform owns process lifecycle, networking, scaling, and recovery.