Abstract: The disclosure includes methods and systems that perform operations of identifying a behavior of a metric, where the metric is associated with a node of included within a nodal graph displayed on a graphical user interface. Additionally, a root cause of the behavior is determined through automated, computerized analytics, which may include execution of a search query associated with the node, and a notification of the root cause may be provided via the graphical user interface. Additionally, the graphical user interface may be configured to receive user input that results in the generation of a nodal graph, where the user input includes placement of nodes on a display screen and edges representing a connection between two nodes, where the edges may represent a dependency between the nodes.

Abstract: A device executes a visualization application program on a processor. Via the visualization application, a technique for visualizing data paths are performed. The technique includes receiving a data structure from a data intake and query system, where the data stream includes event stream data associated with the data path. The data path includes a set of entities, including an origin entity and a destination entity. The technique further includes generating visualizations of the origin entity, destination entity, and the event stream data. The visualization of the event stream data includes visualizations of events streaming between the visualization of the origin entity and visualization of the destination entity. The technique also includes causing the visualizations of the origin entity, destination entity, and the event stream data to be presented in an extended reality environment.

Abstract: Machine data is collected from multiple sources of an operating environment such as an information technology system, factory floor, or the like, into a data intake and query system, in one embodiment. Metrics representative of the environment are included in or derived from the data. Users may interact with an interface to depict a representation of various metrics and interdependencies and that depiction is reflected in a computer storage model. Changes to the computer storage model based on the user interaction may also result in training of a machine learning model according to the user interaction, the machine learning model configured to determine a prediction, classification or clustering of a result of a first search query by utilizing a result of at least a second search query as input to the machine learning model.

Abstract: Machine data is collected from multiple sources of an operating environment such as an information technology system, factory floor, or the like, into a data intake and query system, in one embodiment. Metrics representative of the environment are included in or derived from the data. Users may interact with an interface to depict a representation of various metrics and interdependencies and that depiction is reflected in a computer storage model. Changes to the computer storage model based on the user interaction may also result in automatic changes to control information reflected in the computer storage model that directs the processing of various monitoring functions associated with the metrics.

Abstract: One or more embodiments related to a method that includes querying a data store for current interaction data between call center personnel and customers. The call center personnel are grouped into call center groups. The method further includes determining, for at least some call center groups, a current interaction metric specific to the call center group. The current interaction method is provided for each of the at least some call center groups.

Abstract: One or more embodiments related to a method that includes querying a data store for current interaction data between call center personnel and customers. The call center personnel are grouped into call center groups. The method further includes determining, for at least some call center groups, a current interaction metric specific to the call center group. The current interaction method is provided for each of the at least some call center groups.

Abstract: One or more embodiments related to a method of generating a graphical user interface. The method includes obtaining an interface hierarchy having multiple nodes, where each node defines a visualization for the node, and the interface hierarchy defining an ordering on the nodes. The method further includes traversing the interface hierarchy starting with a selected node to obtain a subhierarchy, and creating the graphical user interface from a general interface by populating the general interface with the visualization. The method further includes providing the graphical user interface.

Abstract: Machine data is collected from multiple sources of an operating environment such as an information technology system, factory floor, or the like, into a data intake and query system, in one embodiment. Metrics representative of the environment are included in or derived from the data. Users may interact with an interface to depict a representation of various metrics and interdependencies and that depiction is reflected in a computer storage model. Changes to the computer storage model based on the user interaction may also result in automatic changes to control information reflected in the computer storage model that directs the processing of various monitoring functions associated with the metrics.

Abstract: Machine data is collected from multiple sources of an operating environment such as an information technology system, factory floor, or the like, into a data intake and query system, in one embodiment. Metrics representative of the environment are included in or derived from the data. Users may interact with an interface to depict a representation of various metrics and interdependencies and that depiction is reflected in a computer storage model. Changes to the computer storage model based on the user interaction may also result in training of a machine learning model according to the user interaction, the machine learning model configured to determine a prediction, classification or clustering of a result of a first search query by utilizing a result of at least a second search query as input to the machine learning model.

Abstract: One or more embodiments related to a method that includes querying a data store for current interaction data between call center personnel and customers. The call center personnel are grouped into call center groups. The method further includes determining, for at least some call center groups, a current interaction metric specific to the call center group. The current interaction method is provided for each of the at least some call center groups.

Abstract: One or more embodiments related to a method of generating a graphical user interface. The method includes obtaining an interface hierarchy having multiple nodes, where each node defines a visualization for the node, and the interface hierarchy defining an ordering on the nodes. The method further includes traversing the interface hierarchy starting with a selected node to obtain a subhierarchy, and creating the graphical user interface from a general interface by populating the general interface with the visualization. The method further includes providing the graphical user interface.

Abstract: Methods and apparatus are presented concerning network-accessible services that provide post-production digital compositing and motion graphics authoring to users who provide their own core content, which the services supplement via a user-driven interface through the inclusion of digital still images, artwork, video, sound, and/or other supplemental content selected by the user. In one embodiment, following selection and sequencing of the various core and supplemental content components, the services automatically generate and make available to a user a finished product that integrates core and supplemental content. To simplify the compositing task, a series of pre-formatted motion graphics video templates may be made available.

Abstract: One or more embodiments related to a method of generating a graphical user interface. The method includes obtaining a metric interface hierarchy having multiple nodes, where each node defines a visualization for the node, and the metric interface hierarchy defines an ordering on the nodes. The method further includes traversing the metric interface hierarchy starting with a selected node to obtain a subhierarchy, and creating the graphical user interface from a general interface by populating the general interface with the visualization from each node in the subhierarchy according to the ordering. The method further includes providing the graphical user interface.

Abstract: One or more embodiments related to a method of generating a graphical user interface. The method includes obtaining a metric interface hierarchy having multiple nodes, where each node defines a visualization for the node, and the metric interface hierarchy defines an ordering on the nodes. The method further includes traversing the metric interface hierarchy starting with a selected node to obtain a subhierarchy, and creating the graphical user interface from a general interface by populating the general interface with the visualization from each node in the subhierarchy according to the ordering. The method further includes providing the graphical user interface.

Abstract: One or more embodiments related to a method that includes querying a data store for current interaction data between call center personnel and customers. The call center personnel are grouped into call center groups. The method further includes determining, for at least some call center groups, a current interaction metric specific to the call center group. The current interaction method is provided for each of the at least some call center groups.

Abstract: One or more embodiments related to a method of generating a graphical user interface. The method includes obtaining a metric interface hierarchy having multiple nodes, where each node defines a visualization for the node, and the metric interface hierarchy defines an ordering on the nodes. The method further includes traversing the metric interface hierarchy starting with a selected node to obtain a subhierarchy, and creating the graphical user interface from a general interface by populating the general interface with the visualization from each node in the subhierarchy according to the ordering. The method further includes providing the graphical user interface.

Abstract: One or more embodiments related to a method that includes querying a data store for current interaction data between call center personnel and customers. The call center personnel are grouped into call center groups. The method further includes determining, for at least some call center groups, a current interaction metric specific to the call center group. The current interaction method is provided for each of the at least some call center groups.

Abstract: Network-accessible services that provide post-production digital compositing and motion graphics authoring to users who provide their own core content, which the services supplement via a user-driven interface through the inclusion of digital still images, artwork, video, sound, and/or other supplemental content selected by the user. In one embodiment, following selection and sequencing of the various core and supplemental content components, the services automatically generate and make available to a user a finished product that integrates core and supplemental content. To simplify the compositing task, a series of pre-formatted motion graphics video templates may be made available. The end product provided by aspects of the present invention may be a professional-quality ensemble motion graphics video production that may be delivered in any popular format, such as AVI, JPEG, MPEG4 and the like to the customer and or to selected recipients via download or common carrier.