Determining candidates for circuit breaker patterns in cloud applications using machine learning techniques
AssigneeDell Products L.P.
InventorsDerek O'Keeffe, Jordan Daly, David Ahern
Life of this patent
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AssigneeDell Products L.P.
InventorsDerek O'Keeffe, Jordan Daly, David Ahern
Estimating the term…
Methods, apparatus, and processor-readable storage media for determining candidates for circuit breaker patterns in cloud applications using machine learning techniques are provided herein. An example computer-implemented method includes obtaining consumption-related data from first cloud-based applications; obtaining production-related data from second cloud-based applications; training at least one machine learning-based classifier using at least a portion of the consumption-related data; determining composition of one or more cloud-based application programming interfaces by processing at least a portion of the production-related data using the at least one trained machine learning-based classifier; determining one or more candidates, within one or more portions of the one or more cloud-based application programming interfaces, for implementation of at least one circuit breaker pattern based at least in part on the determined composition of the one or more cloud-based application programming interfaces; and performing automated actions based at least in part on the determined candidates.
A computer-implemented method comprising:
A non-transitory processor-readable storage medium having stored therein program code of one or more software programs, wherein the program code when executed by at least one processing device causes the at least one processing device:
An apparatus comprising:
Dependencies are inferred from the claim text.