VETO-BASED MODEL FOR MEASURING PRODUCT HEALTH

    公开(公告)号:US20200159607A1

    公开(公告)日:2020-05-21

    申请号:US16195524

    申请日:2018-11-19

    Abstract: The performance of a cloud-based software product over time is determined by collecting telemetry data representing whether different features of online sessions of the software product are operating properly. The telemetry data represents shared performance metrics of the software product across different participants and components participating in an online session. The collected telemetry data is correlated with session identifiers identifying the online session from which the telemetry data was collected. The telemetry data for an online session is processed to establish a unit of failure when the telemetry data indicates that the online session operated outside of predefined performance metrics. The unit of failure is a function of vetoes applied to a candidate list of online sessions indicating that the online session may have problems. The performance of the software product may be determined as a function of the unit of failure over time.

    Veto-based model for measuring product health

    公开(公告)号:US11144376B2

    公开(公告)日:2021-10-12

    申请号:US16195524

    申请日:2018-11-19

    Abstract: The performance of a cloud-based software product over time is determined by collecting telemetry data representing whether different features of online sessions of the software product are operating properly. The telemetry data represents shared performance metrics of the software product across different participants and components participating in an online session. The collected telemetry data is correlated with session identifiers identifying the online session from which the telemetry data was collected. The telemetry data for an online session is processed to establish a unit of failure when the telemetry data indicates that the online session operated outside of predefined performance metrics. The unit of failure is a function of vetoes applied to a candidate list of online sessions indicating that the online session may have problems. The performance of the software product may be determined as a function of the unit of failure over time.

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