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.
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.
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:
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.
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.
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.
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.
Abstract:
A processing device receives input representing a selection of a first area of a source image. The processing device identifies a result image that corresponds to the source image. The result image is previously created for the source image using a blur operation. The processing device aligns the selected first area of the source image with a corresponding portion in the result image. The processing device transforms, using the corresponding portion in the result image, the aligned first area in the source image to a blurred area without blurring a remaining area of the source image.
Abstract:
A processing device receives input representing a selection of a first area of a source image. The processing device identifies a result image that corresponds to the source image. The result image is previously created for the source image using a blur operation. The processing device aligns the selected first area of the source image with a corresponding portion in the result image. The processing device transforms, using the corresponding portion in the result image, the aligned first area in the source image to a blurred area without blurring a remaining area of the source image.
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.