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    Utilizing shared search queries for defining multiple key performance indicators
    21.
    发明授权
    Utilizing shared search queries for defining multiple key performance indicators 有权

    公开(公告)号：US12124441B1

    公开(公告)日：2024-10-22

    申请号：US18075970

    申请日：2022-12-06

    Applicant: SPLUNK INC.

    Inventor： Nicholas Matthew Tankersley ,  Fang I. Hsiao ,  Arun Ramani

    IPC: G06F16/24 ,  G06F3/04847 ,  G06F11/30 ,  G06F16/2452 ,  G06F16/2457 ,  G06Q10/0639 ,  G06Q10/10 ,  G06T11/20

    CPC classification number: G06F16/24528 ,  G06F3/04847 ,  G06F11/30 ,  G06F16/24573 ,  G06Q10/06393 ,  G06Q10/10 ,  G06T11/206 ,  G06T2200/24

    Abstract: An example method of utilizing shared search queries for defining multiple key performance indicators (KPIs) comprises: receiving input specifying one or more service definitions, each service definition of the one or more service definitions specifying an entity definition for an entity providing a service of one or more services executing in an information technology (IT) environment, wherein the IT environment is monitored by the service monitoring system, wherein the service monitoring system uses first machine data of a first entity specified by a first service definition of the one or more service definitions to monitor a first KPI for a first service of the one or more services, and wherein the service monitoring system uses second machine data of a second entity specified by a second service definition of the one or more service definitions to monitor a second KPI for a second service of the one or more services; determining that the first machine data and the second machine data include common machine data; defining, based on the first machine data and the second machine data including common machine data, a shared base search query for the first KPI and the second KPI; executing the shared based search query to generated shared base search query results for the first KPI and the second KPI; and generating, using results from executing the shared base search query, a first value for the first KPI and a second value for the second KPI.

    System and method for identifying resource access faults based on webpage assessment
    22.
    发明授权
    System and method for identifying resource access faults based on webpage assessment 有权

    公开(公告)号：US12124324B1

    公开(公告)日：2024-10-22

    申请号：US17230138

    申请日：2021-04-14

    Applicant: Splunk Inc.

    Inventor： William Matthew Hoffman

    IPC: G06F9/44 ,  G06F11/07 ,  G06F11/36

    CPC classification number: G06F11/079 ,  G06F11/0706 ,  G06F11/076 ,  G06F11/0772 ,  G06F11/3612

    Abstract: A method for identifying and indicating resource access faults associated with a webpage. The method includes receiving a machine-readable file that includes a plurality of instructions defining at least content and structure of a webpage. The method further comprises causing a browser to load the webpage based at least in part on the machine-readable file; determining resource utilization associated with the load of the webpage; identifying one or more resource access faults associated with the machine-readable file based at least in part on the determined resource utilization and a resource access instruction policy; for each of the one or more resource access faults, identifying an instruction of the plurality of instructions that corresponds to the particular resource access fault; and causing display of the one or more instructions.

    DYNAMIC RESOLUTION ESTIMATION FOR A DETECTOR
    23.
    发明公开
    DYNAMIC RESOLUTION ESTIMATION FOR A DETECTOR 审中-公开

    公开(公告)号：US20240346049A1

    公开(公告)日：2024-10-17

    申请号：US18666603

    申请日：2024-05-16

    Applicant: SPLUNK Inc.

    Inventor： Nishant Agarwal ,  Houwu Bai ,  Darshan Patel ,  Rajesh Raman ,  Joseph Ari Ross

    IPC: G06F16/28 ,  G06F16/2455 ,  G06F16/2458 ,  H04L43/08

    CPC classification number: G06F16/287 ,  G06F16/24568 ,  G06F16/2477 ,  H04L43/08

    Abstract: Described are systems, methods, and techniques for collecting, analyzing, processing, and storing time series data and for evaluating and dynamically estimating a resolution of one or more streams of data points and updating an output resolution. Responsive to receiving a stream of data points, a data resolution can be derived and an output resolution can be set to a first value. When a change to the data resolution is detected, the output resolution can be changed, modifying a frequency at which output data points are generated and/or transmitted. In some instances, a detector can be implemented to trigger an alert responsive to ingested data points corresponding with triggering parameters. An output resolution for the detector can be dynamically modified based on dynamically detecting a change to the data resolution of the stream of data.

    ADDRESSING MEMORY LIMITS FOR PARTITION TRACKING AMONG WORKER NODES
    29.
    发明公开
    ADDRESSING MEMORY LIMITS FOR PARTITION TRACKING AMONG WORKER NODES 审中-公开

    公开(公告)号：US20240320231A1

    公开(公告)日：2024-09-26

    申请号：US18626007

    申请日：2024-04-03

    Applicant: Splunk Inc.

    Inventor： Arindam Bhattacharjee ,  Sourav Pal ,  Srinivas Bobba

    IPC: G06F16/2458 ,  G06F16/27

    CPC classification number: G06F16/2471 ,  G06F16/278

    Abstract: Systems and methods are described for distributed processing a query in a first query language utilizing a query execution engine intended for single-device execution. While distributed processing provides numerous benefits over single-device processing, distributed query execution engines can be significantly more difficult to develop that single-device engines. Embodiments of this disclosure enable the use of a single-device engine to support distributed processing, by dividing a query into multiple stages, each of which can be executed by multiple, concurrent executions of a single-device engine. Between stages, data can be shuffled between executions of the engine, such that individual executions of the engine are provided with a complete set of records needed to implement an individual stage. Because single-device engines can be significantly less difficult to develop, use of the techniques described herein can enable a distributed system to rapidly support multiple query languages.

    Systems and methods for training a machine learning model to detect beaconing communications
    30.
    发明授权
    Systems and methods for training a machine learning model to detect beaconing communications 有权

    公开(公告)号：US12088611B1

    公开(公告)日：2024-09-10

    申请号：US17573399

    申请日：2022-01-11

    Applicant: SPLUNK Inc.

    Inventor： Cui Lin ,  Stanislav Miskovic

    IPC: H04L9/40 ,  G06F18/214 ,  G06N20/00

    CPC classification number: H04L63/1425 ,  G06F18/214 ,  G06N20/00 ,  H04L63/1416 ,  H04L63/1466 ,  H04L63/166 ,  H04L63/20

    Abstract: A computerized method is disclosed that includes operations of obtaining historical network traffic and preparing a training set of data by: applying security rules to the historical network traffic data to obtain a first filtered subset of network transmissions representing a first set of beaconing candidates that is labeled to form a first set of labeled results, applying a clustering logic to the historical network traffic data to obtain a second filtered subset of network transmissions representing a second set of beaconing candidates that is labeled to form a second set of labeled results, applying a machine learning model to the historical network traffic data to label the historical network traffic forming a third set of labeled results, wherein the first, second and third sets of labeled results are augmented to form an augmented labeled training set, and training a machine learning model using the augmented labeled training set.

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