System and method for changepoint detection in streaming data

    公开(公告)号:US11907227B1

    公开(公告)日:2024-02-20

    申请号:US17591511

    申请日:2022-02-02

    Applicant: Splunk, Inc.

    CPC classification number: G06F16/24568 G06F16/22 G06F16/2462 G06F16/24552

    Abstract: A computerized method is disclosed including operations of receiving a data stream, performing a changepoint detection resulting in a detection of changepoints in the data stream including: maintaining a listing of starting indices for each run within the data stream in a buffer of size L wherein each index of the listing has a run length probability representing a likelihood of being a changepoint, receiving a new data point within the data stream and adding a new index to the buffer resulting in the buffer having size L+1, calculating a posterior run length probability that the new data point is a changepoint, and removing an index from the listing that has a lowest run length probability thereby returning the buffer to size L, and responsive to determining the index removed from the listing does not correspond to the new data point, identifying a changepoint associated with the new data point.

    Display screen or portion thereof having a graphical user interface with a time slider for a map

    公开(公告)号:USD1013705S1

    公开(公告)日:2024-02-06

    申请号:US29800320

    申请日:2021-07-20

    Applicant: SPLUNK Inc.

    Abstract: The patent or application file contains at least one drawing executed in color. Copies of this patent or patent application publication with color drawing(s) will be provided by the Office upon request and payment of the necessary fee.
    FIG. 1 is a first embodiment of a display screen or portion thereof having a graphical user interface with a time slider for a map showing my new design;
    FIG. 2 is a second embodiment thereof; and,
    FIG. 3 is a third embodiment thereof.
    The broken dashed lines depict portions of the display screen or portion thereof having a graphical user interface with a time slider for a map in which the design is embodied that form no part of the claimed design. The contents of the area within the dashed lines presented in a dot-dash pattern form no part of the claimed design.

    Analyzing data across tenants of an information technology (IT) and security operations application

    公开(公告)号:US11895126B1

    公开(公告)日:2024-02-06

    申请号:US16657964

    申请日:2019-10-18

    Applicant: Splunk Inc.

    CPC classification number: H04L63/1416 G06F9/451 H04L63/0281 H04L63/1441

    Abstract: An information technology (IT) and security operations application is described that enables cross-tenant analyses of data to derive insights that can be used to provide actionable information across the application including, for example, action recommendations, threat confidence scores, and other incident data enrichments. The generation and presentation of such information to users of an IT and security operations application can enable analyst teams to more efficiently and accurately respond to various types of incidents in IT environments, thereby improving the overall operation and security of the IT environments. Furthermore, because of the shared use of an IT and security operations application concurrently by any number of separate tenants, such cross-tenant analyses can be performed in near real-time and on an ongoing basis to deliver relevant insights.

    IT service monitoring by ingested machine data with KPI prediction and impactor determination

    公开(公告)号:US11886475B1

    公开(公告)日:2024-01-30

    申请号:US17745848

    申请日:2022-05-16

    Applicant: Splunk Inc.

    CPC classification number: G06F16/334 G06N5/022

    Abstract: A service monitoring system (SMS) transforms machine data from a monitored information technology (IT) environment into meaningful key performance indicators (KPIs) that each represents some measure of a service implemented by the environment on an ongoing basis. An overall health score for the service is determined from the KPIs and a prediction is made for a future health score. Data regarding a particular KPI and other KPIs is transformed to predicted future values for the particular KPI over a prediction window. Additionally, predicted future KPI scores may be used to determine a KPI impact score reflecting some measure of the degree to which the KPI, its related components, or processing related thereto, can influence the actual future health score. The KPI impact scores condition or direct the future operation of one or more SMS processes. Production of an impactor list identifying priority targets for interventive processing may be produced based at least on KPI impact scores and may also condition or direct the future operation of one or more SMS processes.

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