System and method for supervised event monitoring
AssigneeMicrosoft Technology Licensing, LLC
InventorsHagit Grushka, Rachel Lemberg, Yaniv Lavi
Life of this patent
Estimating the term…
Abstract
A method, computer program product, and computing system for processing event data associated with a plurality of known operational impact events on a business service and operational data associated with the business service using a supervised machine learning model conditioned on an operational impact parameter associated with the business service. A detection threshold is generated using the supervised machine learning model.
Claims20
A computer-implemented method, executed on a computing device, comprising:
- processing event data associated with a plurality of known operational impact events on a cloud computing service and operational data associated with the cloud computing service using a supervised machine learning model conditioned on an operational impact parameter associated with the cloud computing service;
- and
- generating a detection threshold using the supervised machine learning model.
A computing system comprising:
- a processing system comprising a processor;
- and
- a memory storing instructions that, when executed by the processing system, cause the system to perform operations comprising:
- processing operational data associated with a business service with a detection threshold generated using a supervised machine learning model conditioned on an operational impact parameter associated with the business service, and
- detecting an operational impact event associated with the business service by determining that the operational data exceeds the detection threshold.
A computer program product residing on a non-transitory computer readable medium having a plurality of instructions stored thereon which, when executed by a processor, cause the processor to perform operations comprising:
- generating a detection threshold by processing a plurality of event data associated with a plurality of known operational impact events of a cloud computing service, respectively, and service level indicator (SLI) data associated with the cloud computing service using a supervised machine learning model conditioned on an operational impact parameter associated with the cloud computing service;
- and
- detecting an operational impact event associated with the cloud computing service by determining that the operational data exceeds the detection threshold.
Dependencies are inferred from the claim text.