Automated Methods and Systems for Managing Problem Instances of Applications in a Distributed Computing Facility

    公开(公告)号:US20220027257A1

    公开(公告)日:2022-01-27

    申请号:US17073381

    申请日:2020-10-18

    Applicant: VMware, Inc.

    Abstract: Methods and systems described herein automate troubleshooting a problem in execution of an application in a distributed computing. Methods and systems learn interesting patterns in problem instances over time. The problem instances are displayed in a graphical user interface (“GUI”) that enables a user to assign a problem type label to each historical problem instance. A machine learning model is trained to predict problem types in executing the application based on the historical problem instances and associated problem types. In response to detecting a run-time problem instance in the execution of the application. the machine learning model is used to determine one or more problem types associated with the run-time problem instance. The one or more problem types are rank-ordered and a recommendation may be generated to correct the run-time problem instance based on the highest ranked problem type.

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