Defining a new correlation search based on fluctuations in key performance indicators displayed in graph lanes

    公开(公告)号:US10565241B2

    公开(公告)日:2020-02-18

    申请号:US15814320

    申请日:2017-11-15

    Applicant: Splunk Inc.

    Abstract: A system, method and graphical user interface (GUI) for creating a new correlation search based on fluctuations in key performance indicators (KPIs) displayed in a set of graph lanes. The graph lanes may provide graphical visualizations of the KPIs associated with one or more services and may assist a user in identifying a situation (e.g., problem or a pattern of interest) in the performance of the services. The graph lanes can be adjusted (e.g., add graph lanes, zooming-in) in order to display the situation, at which point a new correlation search may be generated to detect if the situation reoccurs. The system may generate the new correlation search by iterating through the set of graph lanes and analyzing the fluctuations of each KPI to determine triggering criteria. The system may then run the correlation search and generate a notable event or alarm when the situation reoccurs.

    Adaptive key performance indicator thresholds

    公开(公告)号:US10235638B2

    公开(公告)日:2019-03-19

    申请号:US14859236

    申请日:2015-09-18

    Applicant: Splunk Inc.

    Abstract: Techniques are disclosed for providing adaptive thresholding technology for Key Performance Indicators (KPIs). Adaptive thresholding technology may automatically assign new values or adjust existing values for one or more thresholds of one or more time policies. Assigning threshold values using adaptive thresholding may involve identifying training data (e.g., historical data, simulated data, or example data) for the time frames and analyzing the training data to identify variations within the data (e.g., patterns, distributions, trends). A threshold value may be determined based on the variations and may be assigned to one or more of the thresholds without additional user intervention.

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