Cross-system nested journey monitoring based on relation of machine data

    公开(公告)号:US10769163B2

    公开(公告)日:2020-09-08

    申请号:US15715061

    申请日:2017-09-25

    Applicant: Splunk Inc.

    Abstract: Systems and methods are disclosed for cross-system nested journey modeling based on relation of machine data. An example method includes obtaining information describing a user journey that includes multiple steps, each step corresponding to a query to be applied to events related to data sources. At least one step is a nested user journey including sub-steps. Events obtained from the data sources are related based on the obtained information. The results of the relating are displayed.

    Cross-system journey monitoring based on relation of machine data

    公开(公告)号:US11698913B2

    公开(公告)日:2023-07-11

    申请号:US17653343

    申请日:2022-03-03

    Applicant: Splunk Inc.

    CPC classification number: G06F16/248 G06F16/2457

    Abstract: Systems and methods are disclosed for cross-system journey modeling based on relation of machine data. An example method includes obtaining information describing a user journey that includes multiple steps, each step corresponding to a query to be applied to one or more field-searchable data stores storing events, each event including a portion of machine data that reflects activity in an information technology environment and that is produced by a component of that information technology environment, and each event being associated with a timestamp extracted from the portion of machine data of that event. Events returned as a result of the query of each step are related. The results of the relating are displayed.

    CROSS-SYSTEM JOURNEY MONITORING BASED ON RELATION OF MACHINE DATA

    公开(公告)号:US20190095502A1

    公开(公告)日:2019-03-28

    申请号:US15715074

    申请日:2017-09-25

    Applicant: Splunk Inc.

    CPC classification number: G06F16/248 G06F16/2457

    Abstract: Systems and methods are disclosed for cross-system journey modeling based on relation of machine data. An example method includes obtaining information describing a user journey that includes multiple steps, each step corresponding to a query to be applied to one or more field-searchable data stores storing events, each event including a portion of machine data that reflects activity in an information technology environment and that is produced by a component of that information technology environment, and each event being associated with a timestamp extracted from the portion of machine data of that event. Events returned as a result of the query of each step are related. The results of the relating are displayed.

    Cross-system journey monitoring based on relation of machine data

    公开(公告)号:US10678804B2

    公开(公告)日:2020-06-09

    申请号:US15715074

    申请日:2017-09-25

    Applicant: Splunk Inc.

    Abstract: Systems and methods are disclosed for cross-system journey modeling based on relation of machine data. An example method includes obtaining information describing a user journey that includes multiple steps, each step corresponding to a query to be applied to one or more field-searchable data stores storing events, each event including a portion of machine data that reflects activity in an information technology environment and that is produced by a component of that information technology environment, and each event being associated with a timestamp extracted from the portion of machine data of that event. Events returned as a result of the query of each step are related. The results of the relating are displayed.

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