Microsoft Technology Licensing, LLC

Nicholas Kent Glaze

Subramaniam Venkatraman Krishnan

Yiwen Zhu

Rajeev Sudhakar Bhopi

Jonah Karpman

Irwin Hollar Mcneely, Iii

Matthew Joseph Gleeson

Helen Mary Serr

Example solutions provide an artificial intelligence (AI) agent for pre-build configuration of cloud services in order to enable the initial build of a computational resource (e.g., in a cloud service) to minimize the likelihood of excessive throttling or slack. Examples leverage prior-existing utilization data and project metadata to identify similar use cases. The utilization data includes capacity information and resource consumption information (e.g., throttling and slack) for prior-existing computational resources, and the project metadata includes information for hierarchically categorization, to identify similar resources. A pre-build configuration is generated for the customer's resource, which the customer may tune based upon the customer's preferences for a cost and performance balance point.

AI agent for pre-build configuration of cloud services

Growing community of inventors

Cambridge, MA, United States of America

Nicholas Kent Glaze