DISPLAYING INTERACTIVE TOPOLOGY MAPS OF CLOUD COMPUTING RESOURCES

    公开(公告)号:US20210385139A1

    公开(公告)日:2021-12-09

    申请号:US17443228

    申请日:2021-07-22

    Applicant: Splunk Inc.

    Abstract: Techniques and mechanisms are disclosed that enable collection of various types of data from cloud computing services and the generation of various dashboards and visualizations to view information about collections of cloud computing resources. A user can configure collection of data from one or more cloud computing services and view visualizations using an application platform referred to herein as a cloud computing management application. A cloud computing management application further may be configured to generate and cause display of interactive topology map representations of cloud computing resources based on the collected data, where an interactive topology map enables users to view an intuitive visualization of a collection of computing resources, efficiently cause performance of actions with respect to various resources displayed in the topology map, and analyze the collection of resources in ways that are not possible using conventional cloud computing service management consoles.

    Field Extraction Rules from Clustered Data Samples

    公开(公告)号:US20170286525A1

    公开(公告)日:2017-10-05

    申请号:US15143563

    申请日:2016-04-30

    Applicant: Splunk Inc.

    CPC classification number: G06F16/287 G06F16/2477

    Abstract: The operation of an automatic data input and query system is controlled by well-defined control data. Certain control data may relate to data schemas and direct operations performed by the system to extract fields from machine data. Automatic methods may determine proper field extraction control information by analyzing a sample of data from a source, breaking the sample data into event segments, classifying the segments into groups based on a measure of similarity, determining an operable extraction rule for each group, and storing the resulting extraction model. Data patterns known by the system can be leveraged to perform the event breaking and field identification for the classifying. Embodiments may provide a user interface to view, interact with, and approve the computer-generated extraction model.

    MINIMIZING BLUR OPERATIONS FOR CREATING A BLUR EFFECT FOR AN IMAGE
    3.
    发明申请
    MINIMIZING BLUR OPERATIONS FOR CREATING A BLUR EFFECT FOR AN IMAGE 有权
    最小化用于创建图像的效果的操作

    公开(公告)号:US20160253830A1

    公开(公告)日:2016-09-01

    申请号:US14396277

    申请日:2014-07-09

    Applicant: Splunk Inc.

    CPC classification number: G06T5/002 G06T11/60 G06T2207/20012

    Abstract: A processing device receives input representing a selection of one or more areas of an image and creates a blurred area for the one or more selected areas. The blurred area corresponds to a portion of the image that contains the one or more selected areas. The portion of the image has a size that is greater than an aggregate size of the one or more selected areas. The processing device replaces the one or more selected areas with the corresponding portion of the blurred area.

    Abstract translation: 处理装置接收表示图像的一个或多个区域的选择的输入,并为一个或多个所选择的区域创建模糊区域。 模糊区域对应于包含一个或多个所选区域的图像的一部分。 图像的部分具有大于一个或多个所选区域的聚集大小的大小。 处理设备用模糊区域的相应部分替换一个或多个所选区域。

    DISPLAYING INTERACTIVE TOPOLOGY MAPS OF CLOUD COMPUTING RESOURCES

    公开(公告)号:US20230171169A1

    公开(公告)日:2023-06-01

    申请号:US18162595

    申请日:2023-01-31

    Applicant: Splunk Inc.

    CPC classification number: H04L43/045 H04L41/22 H04L41/12 H04L43/0817

    Abstract: Techniques and mechanisms are disclosed that enable collection of various types of data from cloud computing services and the generation of various dashboards and visualizations to view information about collections of cloud computing resources. A user can configure collection of data from one or more cloud computing services and view visualizations using an application platform referred to herein as a cloud computing management application. A cloud computing management application further may be configured to generate and cause display of interactive topology map representations of cloud computing resources based on the collected data, where an interactive topology map enables users to view an intuitive visualization of a collection of computing resources, efficiently cause performance of actions with respect to various resources displayed in the topology map, and analyze the collection of resources in ways that are not possible using conventional cloud computing service management consoles.

    Displaying interactive topology maps of cloud computing resources

    公开(公告)号:US11611493B2

    公开(公告)日:2023-03-21

    申请号:US17443228

    申请日:2021-07-22

    Applicant: Splunk Inc.

    Abstract: Techniques and mechanisms are disclosed that enable collection of various types of data from cloud computing services and the generation of various dashboards and visualizations to view information about collections of cloud computing resources. A user can configure collection of data from one or more cloud computing services and view visualizations using an application platform referred to herein as a cloud computing management application. A cloud computing management application further may be configured to generate and cause display of interactive topology map representations of cloud computing resources based on the collected data, where an interactive topology map enables users to view an intuitive visualization of a collection of computing resources, efficiently cause performance of actions with respect to various resources displayed in the topology map, and analyze the collection of resources in ways that are not possible using conventional cloud computing service management consoles.

    Field extraction rules from clustered data samples

    公开(公告)号:US11216491B2

    公开(公告)日:2022-01-04

    申请号:US15143563

    申请日:2016-04-30

    Applicant: Splunk Inc.

    Abstract: The operation of an automatic data input and query system is controlled by well-defined control data. Certain control data may relate to data schemas and direct operations performed by the system to extract fields from machine data. Automatic methods may determine proper field extraction control information by analyzing a sample of data from a source, breaking the sample data into event segments, classifying the segments into groups based on a measure of similarity, determining an operable extraction rule for each group, and storing the resulting extraction model. Data patterns known by the system can be leveraged to perform the event breaking and field identification for the classifying. Embodiments may provide a user interface to view, interact with, and approve the computer-generated extraction model.

    Displaying interactive topology maps of cloud computing resources

    公开(公告)号:US10693743B2

    公开(公告)日:2020-06-23

    申请号:US14902848

    申请日:2015-09-21

    Applicant: Splunk Inc.

    Abstract: Techniques and mechanisms are disclosed that enable collection of various types of data from cloud computing services and the generation of various dashboards and visualizations to view information about collections of cloud computing resources. A user can configure collection of data from one or more cloud computing services and view visualizations using an application platform referred to herein as a cloud computing management application. A cloud computing management application further may be configured to generate and cause display of interactive topology map representations of cloud computing resources based on the collected data, where an interactive topology map enables users to view an intuitive visualization of a collection of computing resources, efficiently cause performance of actions with respect to various resources displayed in the topology map, and analyze the collection of resources in ways that are not possible using conventional cloud computing service management consoles.

    MINIMIZING BLUR OPERATIONS FOR CREATING A BLUR EFFECT FOR AN IMAGE

    公开(公告)号:US20170206639A1

    公开(公告)日:2017-07-20

    申请号:US15477302

    申请日:2017-04-03

    Applicant: Splunk Inc.

    CPC classification number: G06T5/002 G06T11/60 G06T2207/20012

    Abstract: A processing device receives input representing a selection of a first area of an image. The processing device determines whether the first selected area of the image corresponds to a blurred area previously created for a second selected area of the image. The blurred area is previously created for the second selected area of the image having a size that is less than a size of the image. The processing device replaces, responsive to determining that the first selected area of the image corresponds to the blurred area previously created for the second selected area of the image, the first selected area of the image with a corresponding portion of the blurred area previously created for the second selected area of the image.

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