Real-time measurement and system monitoring based on generated dependency graph models of system components

    公开(公告)号:US11620300B2

    公开(公告)日:2023-04-04

    申请号:US16147337

    申请日:2018-09-28

    Applicant: Splunk Inc.

    Abstract: Machine data is collected from multiple sources of an operating environment such as an information technology system, factory floor, or the like, into a data intake and query system, in one embodiment. Metrics representative of the environment are included in or derived from the data. Users may interact with an interface to depict a representation of various metrics and interdependencies and that depiction is reflected in a computer storage model. Changes to the computer storage model based on the user interaction may also result in training of a machine learning model according to the user interaction, the machine learning model configured to determine a prediction, classification or clustering of a result of a first search query by utilizing a result of at least a second search query as input to the machine learning model.

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