First published on MSDN on Nov 15, 2018
Written by Mathew Salvaris, Fidan Boylu Uz, and Daniel Greece. Edited by Nanette Ray. Reviewed by Mike Wasson.
Reference architectures provide a consistent approach and best practices for a given solution. Each architecture includes recommended practices, along with considerations for scalability, availability, manageability, and security. This architecture includes a deployable solution as well. The full array of reference architectures is available on the Azure Architecture Center.
This reference architecture shows how to deploy Python models as web services to make real-time predictions. Two scenarios are covered: deploying regular Python models, and the specific requirements of deploying deep learning models. Both scenarios use the architecture shown.
This architecture consists of the following components:
This article covers the following topics:
Head to the article page to learn more and to deploy the solution.
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