Creating a correlation search
    61.
    发明授权

    公开(公告)号:US11354322B2

    公开(公告)日:2022-06-07

    申请号:US16715015

    申请日:2019-12-16

    Applicant: Splunk Inc.

    Abstract: Systems and methods for assigning scores to objects based on evaluating triggering conditions applied to datasets produced by search queries in data aggregation and analysis systems. An example method may comprise providing an interface for generating a correlation search, the interface facilitating user input of (i) one or more search criteria for a search query of the correlation search, (ii) a triggering condition to be applied to a dataset produced by the search query, and (iii) one or more actions to be performed when the dataset produced by search query satisfies the triggering condition, wherein the one or more actions comprise at least modifying a score assigned to an object to which the dataset produced by the search query pertains, and causing generation of the correlation search based on the user input.

    Identifying metrics related to data ingestion associated with a defined time period

    公开(公告)号:US11288283B2

    公开(公告)日:2022-03-29

    申请号:US16394733

    申请日:2019-04-25

    Applicant: SPLUNK INC.

    Abstract: A data intake and query system measures an amount of raw data ingested by the system during defined periods of time. As used herein, ingesting raw data generally refers to receiving the raw data from one or more computing devices and processing the data for storage and searchability. Processing the data may include, for example, parsing the raw data into “events,” where each event includes a portion of the received data and is associated with a timestamp. Based on a calculated number of events generated by the system during one or more defined time periods, the system may calculate various metrics including, but not limited to, a number of events generated during a particular day, a number of events generated per day over a period of time, a maximum number of events generated in a day over a period of time, an average number of events generated per day, etc.

    Creating and testing a correlation search

    公开(公告)号:US10860655B2

    公开(公告)日:2020-12-08

    申请号:US15688323

    申请日:2017-08-28

    Applicant: Splunk Inc.

    Abstract: One or more processing devices receive a definition of a search query for a correlation search of a data store, the data store comprising time-stamped events that each comprise a portion of raw machine data reflecting activity in an information technology environment and produced by a component of the information technology environment, receive a definition of a triggering condition to be applied to a dataset that is produced by the search query, receive a definition of one or more actions to be performed when the dataset produced by the search query satisfies the triggering condition, test the search query with the triggering condition, and cause, based on results of the testing, generation of the correlation search using the defined search query, the triggering condition, and the one or more actions, the correlation search comprising search processing language having the search query and a processing command for criteria on which the triggering condition is based.

    Scaling available storage based on counting generated events

    公开(公告)号:US10817544B2

    公开(公告)日:2020-10-27

    申请号:US14701301

    申请日:2015-04-30

    Applicant: Splunk Inc.

    Abstract: A data intake and query system measures an amount of raw data ingested by the system during defined periods of time. As used herein, ingesting raw data generally refers to receiving the raw data from one or more computing devices and processing the data for storage and searchability. Processing the data may include, for example, parsing the raw data into “events,” where each event includes a portion of the received data and is associated with a timestamp. Based on a calculated number of events generated by the system during one or more defined time periods, the system may calculate various metrics including, but not limited to, a number of events generated during a particular day, a number of events generated per day over a period of time, a maximum number of events generated in a day over a period of time, an average number of events generated per day, etc.

    Reporting un-deployed application features

    公开(公告)号:US10735492B2

    公开(公告)日:2020-08-04

    申请号:US16397434

    申请日:2019-04-29

    Applicant: SPLUNK INC.

    Abstract: Provided are systems and methods for indicating deployment of application features. In one embodiment, a method is provided that includes determining available features of a current deployment of an application for receiving machine-generated data from one or more data sources of a data system, determining un-deployed features of the current deployment of the application, wherein the un-deployed features comprise one or more of the available features that is configured to use input data from a data source and wherein the input data is not available to the feature in the current deployment of the application, and causing display of a deployment graphical user interface (GUI) that comprises an indication of the un-deployed features.

    Security threat detection based o patterns in machine data events

    公开(公告)号:US10567412B2

    公开(公告)日:2020-02-18

    申请号:US16100147

    申请日:2018-08-09

    Applicant: SPLUNK INC.

    Abstract: A metric value is determined for each event in a set of events that characterizes a computational communication or object. For example, a metric value could include a length of a URL or agent string in the event. A subset criterion is generated, such that metric values within the subset are relatively separated from a population's center (e.g., within a distribution tail). Application of the criterion to metric values produces a subset. A representation of the subset is presented in an interactive dashboard. The representation can include unique values in the subset and counts of corresponding event occurrences. Clients can select particular elements in the representation to cause more detail to be presented with respect to individual events corresponding to specific values in the subset. Thus, clients can use their knowledge system operations and observance of value frequencies and underlying events to identify anomalous metric values and potential security threats.

    IDENTIFYING METRICS RELATED TO DATA INGESTION ASSOCIATED WITH A DEFINED TIME PERIOD

    公开(公告)号:US20190251095A1

    公开(公告)日:2019-08-15

    申请号:US16394733

    申请日:2019-04-25

    Applicant: SPLUNK INC.

    CPC classification number: G06F16/26 G06F16/22 G06F16/901 G06Q2220/18

    Abstract: A data intake and query system measures an amount of raw data ingested by the system during defined periods of time. As used herein, ingesting raw data generally refers to receiving the raw data from one or more computing devices and processing the data for storage and searchability. Processing the data may include, for example, parsing the raw data into “events,” where each event includes a portion of the received data and is associated with a timestamp. Based on a calculated number of events generated by the system during one or more defined time periods, the system may calculate various metrics including, but not limited to, a number of events generated during a particular day, a number of events generated per day over a period of time, a maximum number of events generated in a day over a period of time, an average number of events generated per day, etc.

    Display of data ingestion information based on counting generated events

    公开(公告)号:US10282455B2

    公开(公告)日:2019-05-07

    申请号:US14691475

    申请日:2015-04-20

    Applicant: Splunk Inc.

    Abstract: A data intake and query system measures an amount of raw data ingested by the system during defined periods of time. As used herein, ingesting raw data generally refers to receiving the raw data from one or more computing devices and processing the data for storage and searchability. Processing the data may include, for example, parsing the raw data into “events,” where each event includes a portion of the received data and is associated with a timestamp. Based on a calculated number of events generated by the system during one or more defined time periods, the system may calculate various metrics including, but not limited to, a number of events generated during a particular day, a number of events generated per day over a period of time, a maximum number of events generated in a day over a period of time, an average number of events generated per day, etc.

Patent Agency Ranking