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.
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:
Systems and methods for managing datasets produced by alert-triggering search queries in data aggregation and analysis systems. An example method may comprise: executing, by one or more processing devices, a search query on a portion of searchable data associated with a time window to produce a dataset comprising one or more results; responsive to determining that at least a portion of the dataset satisfies a triggering condition defining an alert associated with the search query, generating an instance of the alert; associating, by a memory data structure, the instance of the alert with an identifier of the search query and a time parameter specifying the time window; receiving, from a client computing device, a request for the portion of the dataset; and responsive to determining that the portion of the dataset is not stored in the memory in a manner associating it with the instance of the alert, reproducing the portion of the dataset by re-executing the search query in view of the time parameter.
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:
Systems and methods for presenting and sorting summaries of alerts triggered by search queries in data aggregation and analysis systems. An example method may comprise: causing, by one or more processing devices, one or more alert summaries to be displayed, each alert summary corresponding to an alert and representing one or more instances of the alert, the alert defined by a search query and a triggering condition; wherein an instance of the alert corresponds to a particular dataset that (i) is generated by executing the search query over time-series data falling within a particular time range in a set of time ranges over which the search query has been instructed to search, and (ii) satisfies the triggering condition for the alert; wherein an alert summary includes an indication of at least one of: a total count of alert instances generated by the alert, or a count of alert instances generated by the alert that have not been viewed by a user.
Abstract:
An example method for managing datasets produced by alert-triggering search queries may include producing a dataset by executing a search query on a portion of data associated with a time window defined relative to a current time. The method may further include responsive to determining that a portion of the dataset satisfies a condition defining an alert, generating an instance of the alert. The method may further include associating, by a memory data structure, the instance of the alert with an identifier of the query and a parameter specifying a time of execution of the query that has triggered the instance. The method may further include receiving a request for the dataset portion. The method may further include substituting, in a definition of the time window, the current time with the time parameter. The method may further include reproducing the dataset portion by re-executing the query using the time window.
Abstract:
An example method for managing datasets produced by alert-triggering search queries may include producing a dataset by executing a search query on a portion of data associated with a time window defined relative to a current time. The method may further include responsive to determining that a portion of the dataset satisfies a condition defining an alert, generating an instance of the alert. The method may further include associating, by a memory data structure, the instance of the alert with an identifier of the query and a parameter specifying a time of execution of the query that has triggered the instance. The method may further include receiving a request for the dataset portion. The method may further include substituting, in a definition of the time window, the current time with the time parameter. The method may further include reproducing the dataset portion by re-executing the query using the time window.
Abstract:
Determining a set of extraction rules include clustering event segments into at least a first group of event segments, and determining, using first field data in the first group of event segments, a first set of extraction rules for extracting the first field data from each event segment of the first group of event segments. A determination is made that the first set of extraction rules fails to successfully extract all of the first field data. Responsive to the determination, the event segments are re-clustered into at least a second group of event segments and a third group of event segments until a successful set of extraction rules are identified. The successful set of extraction rules are stored in computer memory.
Abstract:
The operation of an automatic data input and query system is controlled by well-defined control data. The system exposes user interfaces enabling an administrator to interact with control data to modify the ongoing operation of the system. Certain control data determines the collection and treatment of data from various technology sources. A robust control interface is provided enabling the efficient and reliable adding on of new technology data sources. Once established, control data for a new technology data source may be packaged in a form for archiving or distribution. The system may support the export and import of such packages. Such packages may be created independently of the system.
Abstract:
An example method for managing datasets produced by alert-triggering search queries may include producing a dataset by executing a search query on a portion of data associated with a time window defined relative to a current time. The method may further include responsive to determining that a portion of the dataset satisfies a condition defining an alert, generating an instance of the alert. The method may further include associating, by a memory data structure, the instance of the alert with an identifier of the query and a parameter specifying a time of execution of the query that has triggered the instance. The method may further include receiving a request for the dataset portion. The method may further include substituting, in a definition of the time window, the current time with the time parameter. The method may further include reproducing the dataset portion by re-executing the query using the time window.