Abstract:
Systems and methods according to various embodiments enable a user to view three-dimensional representations of data objects (“nodes”) within a 3D environment from a first person perspective. The system may be configured to allow the user to interact with the nodes by moving a virtual camera through the 3D environment. The nodes may have one or more attributes that may correspond, respectively, to particular static or dynamic values within the data object's data fields. The attributes may include physical aspects of the nodes, such as color, size, or shape. The system may group related data objects within the 3D environment into clusters that are demarked using one or more cluster designators, which may be in the form of a dome or similar feature that encompasses the related data objects. The system may enable multiple users to access the 3D environment simultaneously, or to record their interactions with the 3D environment.
Abstract:
Systems and methods according to various embodiments enable a user to view three-dimensional representations of data objects (“nodes”) within a 3D environment from a first person perspective. The system may be configured to allow the user to interact with the nodes by moving a virtual camera through the 3D environment. The nodes may have one or more attributes that may correspond, respectively, to particular static or dynamic values within the data object's data fields. The attributes may include physical aspects of the nodes, such as color, size, or shape. The system may group related data objects within the 3D environment into clusters that are demarked using one or more cluster designators, which may be in the form of a dome or similar feature that encompasses the related data objects. The system may enable multiple users to access the 3D environment simultaneously, or to record their interactions with the 3D environment.
Abstract:
The disclosed embodiments provide a system that facilitates the processing of network data. During operation, the system causes for display a graphical user interface (GUI) for configuring the generation of time-series event data from network packets captured by one or more remote capture agents. Next, the system causes for display, in the GUI, a first set of user-interface elements for specifying a grouping of a set of event streams containing the time-series event data by an event stream attribute associated with the event streams. The system then causes for display, in the GUI, a second set of user-interface elements containing event stream information for one or more subsets of the event streams represented by the grouping of the event streams by the event stream attribute.
Abstract:
The disclosed embodiments relate to a system that displays performance data for a computing environment. During operation, the system first determines values for a performance metric for a plurality of entities that comprise the computing environment. Next, the system displays the computing environment as a set of nodes representing the plurality of entities. While displaying the nodes, the system displays a chart with a line illustrating how a value of the performance metric for the selected node varies over time, wherein the line is displayed against a background illustrating how a distribution of the performance metric for a reference subset of the set of nodes varies over time.
Abstract:
A computing machine performs a correlation search against KPI data for one or more services using a selection criteria and a triggering condition. When the triggering condition is satisfied a notable event or incident is created and information about the notable event is presented using a graphical user interface (GUI) that may have interactive elements.
Abstract:
Systems and methods according to various embodiments enable a user to view three-dimensional representations of data objects (“nodes”) within a 3D environment from a first person perspective. The system may be configured to allow the user to interact with the nodes by moving a virtual camera through the 3D environment. The nodes may have one or more attributes that may correspond, respectively, to particular static or dynamic values within the data object's data fields. The attributes may include physical aspects of the nodes, such as color, size, or shape. The system may group related data objects within the 3D environment into clusters that are demarked using one or more cluster designators, which may be in the form of a dome or similar feature that encompasses the related data objects. The system may enable multiple users to access the 3D environment simultaneously, or to record their interactions with the 3D environment.
Abstract:
Systems and methods according to various embodiments enable a user to view three-dimensional representations of data objects (“nodes”) within a 3D environment from a first person perspective. The system may be configured to allow the user to interact with the nodes by moving a virtual camera through the 3D environment. The nodes may have one or more attributes that may correspond, respectively, to particular static or dynamic values within the data object's data fields. The attributes may include physical aspects of the nodes, such as color, size, or shape. The system may group related data objects within the 3D environment into clusters that are demarked using one or more cluster designators, which may be in the form of a dome or similar feature that encompasses the related data objects. The system may enable multiple users to access the 3D environment simultaneously, or to record their interactions with the 3D environment.
Abstract:
A services monitoring system causes display of time-based graphical visualizations that each correspond to a different key performance indicator (KPI) reflecting how a service provided by one or more entities is performing. The graphical visualizations are all calibrated to a same time scale. Each KPI is defined by a search query that derives one or more values reflected in the graphical visualization for that KPI from machine data pertaining to the one or more entities that provide the service corresponding to the KPI.
Abstract:
Embodiments are directed towards the visualization of machine data received from computing clusters. Embodiments may enable improved analysis of computing cluster performance, error detection, troubleshooting, error prediction, or the like. Individual cluster nodes may generate machine data that includes information and data regarding the operation and status of the cluster node. The machine data is received from each cluster node for indexing by one or more indexing applications. The indexed machine data including the complete data set may be stored in one or more index stores. A visualization application enables a user to select one or more analysis lenses that may be used to generate visualizations of the machine data. The visualization application employs the analysis lens to produce visualizations of the computing cluster machine data.
Abstract:
In some embodiments, in response to the user selecting a first node in the tree to be pinned, the system displays a first detail panel for the first node, wherein the first detail panel displays state information for the first node, wherein the state information is frozen at the time of pinning. Moreover, in response to the user selecting a second node in the tree to be pinned, the system displays a second detail panel for the second node, wherein the second detail panel displays state information for the second node, wherein the state information is frozen at the time of pinning. Note that the first detail panel is displayed concurrently with the second detail panel to facilitate comparing state information between the first and second nodes.