Enabling agile functionality updates using multi-component application

    公开(公告)号:US11256497B1

    公开(公告)日:2022-02-22

    申请号:US16936056

    申请日:2020-07-22

    Applicant: Splunk Inc.

    Abstract: Systems and methods are disclosed for providing a multi-component application, including a first and second component. Functionality of the application may be easily and rapidly modified by modification to the first component, without requiring modification to the second component. The first component may be implemented locally at a client device, while the second component is implemented remotely. While modification of the second component may require privileges of a remote location, a user of a client device may modify the first component while maintaining interoperability and compatibility with the second component, thereby enabling the end user to modify functionality of the multi-component application. In some instances, different versions of a first component are provided, and an end user of a client device is enabled to specify which version of the first component should be used.

    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.

    DATA SOURCE CORRELATION USER INTERFACE
    24.
    发明申请

    公开(公告)号:US20200250178A1

    公开(公告)日:2020-08-06

    申请号:US16264562

    申请日:2019-01-31

    Applicant: Splunk Inc.

    Abstract: Systems and methods are disclosed for implementing a data stream correlation user interface. The data stream correlation user interface provides workflows for selecting individual data sources from a matrix of data sources, identifying individual data fields of the data sources, establishing criteria for determining correlations between them, and reviewing and enabling user verification of correlated data sources. Correlations may be established based on the values of data fields in individual records of the data sources, and may be determined based on correspondences or associations between the values, lookup tables, formulas, user-specified criteria, or other relationships.

    Ingest health monitoring
    26.
    发明授权

    公开(公告)号:US12061533B1

    公开(公告)日:2024-08-13

    申请号:US17877725

    申请日:2022-07-29

    Applicant: Splunk Inc.

    CPC classification number: G06F11/3476 G06F3/0619 G06F2201/81

    Abstract: Ingest health monitoring includes receiving an event stream of events in a data intake and query system to store on at least one storage system and obtaining an event from the event stream. Ingest health monitoring further includes transmitting the event to a selected ingest module queue for the event, updating an output rate indicator counter for the selected ingest module queue when failure to store the event in the ingest module queue occurs, obtaining the event from the selected ingest module queue, processing the event to generate a file for the event, and transmitting the file to the at least one storage system. Ingest health monitoring further includes updating the write failure indicator counter for a storage system of the at least one storage system when failure to transmit to the storage system occurs and updating the user interface based on the output rate indicator counter and the write failure indicator counter.

    Creating and communicating data analyses using data visualization pipelines

    公开(公告)号:US11409756B1

    公开(公告)日:2022-08-09

    申请号:US16147714

    申请日:2018-09-29

    Applicant: Splunk Inc.

    Abstract: An integrated data analytics tool is described that enables users to efficiently create and communicate data analysis flows or storylines. The data analytics tool includes graphical user interfaces (GUIs) that enable users to create data analysis “pipelines” that serve as both a visual and technical representation of a data analysis flow. Among other features, a data analysis pipeline enables users to easily add and link related data visualizations in a pipeline, to update datasets and filters associated with data visualizations in a pipeline and to have those updates be propagated automatically to other visualizations in the pipeline, and to create side-by-side comparisons of visualizations based on different datasets/filters. Users presented with such data visualization pipelines can also interact with the visualizations and dynamically update a displayed analysis by selecting different datasets, filters, pipeline paths, and so forth.

    Cross-system journey monitoring based on relation of machine data

    公开(公告)号:US11269908B2

    公开(公告)日:2022-03-08

    申请号:US16894525

    申请日:2020-06-05

    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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