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 user interface that may have interactive elements.
Abstract:
An automatic service monitor in an information technology environment is equipped to automatically identify and group recognized events based on user-defined criteria, and to automatically perform user-defined operations against the group and its members at the detection of user-specified conditions.
Abstract:
Techniques are disclosed for providing an aggregate key performance indicator (KPI) that spans multiple services and for providing user adjustment to KPI factors via a GUI that enables a user to configure an aggregate KPI with feedback that better characterizes the performance of the services. The GUI may enable a user to select KPIs and to adjust weights (e.g., importance) associated with the KPIs. The weight of a KPI may affect the influence a value of the KPI has on the calculation of an aggregate KPI value (e.g., score). The GUI may provide near real-time feedback concerning the effect the weights have on the aggregate KPI value by displaying the aggregate KPI value (e.g., score) and updating the aggregate KPI value as the user adjusts the weights.
Abstract:
One or more processing devices cause display of a graphical user interface (GUI) that includes a correlation search portion that enables a user to specify information for a key performance indicator (KPI) correlation search definition. The KPI correlation search definition includes search information and trigger determination information. The search information identifies KPI values, indicative of the KPI states, in a data store. The trigger determination information includes trigger criteria. The trigger determination evaluates the identified KPI values using the trigger criteria to determine whether to cause a defined action. A contribution threshold for a particular KPI definition is received via the GUI. The contribution threshold corresponds to a particular KPI state. The contribution threshold is stored as trigger criteria information. Each of the KPI values is derived from machine data pertaining to entities identified in a service definition using a search query specified by a KPI definition for the service.
Abstract:
An example method of identification of related event groups for a service monitoring system includes: receiving a sample set of events from a service monitoring system; choosing, based the sample set of events, a set of fieldnames for defining factors; generating a plurality of event group definitions, wherein each event group definition of the plurality of event group definitions comprises a plurality of factors, wherein each factor of the plurality of factors is represented by a respective fieldname-value pair of an event of the sample set of events, wherein a fieldname of the respective fieldname-value pair is selected from the set of fieldnames; and determining, based on the plurality of event group definitions, one or more event groups for a plurality of events.
Abstract:
Techniques are disclosed for providing an aggregate key performance indicator (KPI) that spans multiple services and for receiving user adjustment to KPI factors to configure an aggregate KPI (e.g., heath score). The techniques may enable a user to select KPIs and to adjust weights (e.g., importance) associated with the KPIs. The weight of a KPI may affect the influence a value of the KPI has on the calculation of an aggregate KPI value. The techniques may also include the ability to create a correlation search using the selected KPIs and weights so that a notification may be generated when the aggregate KPI value exceeds a threshold.
Abstract:
A service monitoring system executing on one or more processors may have operations that are determined by control information. Control over the operation of the service monitoring system can be exerted through the use of a graphical interface. The graphical interface may present the control information of a new or existing correlation search definition for user interaction. The service monitoring system may maintain a data store of key performance indicator (KPI) data, where a KPI value in the data store is produced by a KPI-defining search query that derives the value from machine data associated with one or more entities that perform a monitored service. A correlation search definition of the service monitoring system determines how a search of the KPI data is conducted, how its data is evaluated to determine whether a triggering condition has been met, and, if so, determines what triggered action is to be initiated.
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:
Services in an operating environment are represented by stored service definitions that identify entities that perform the service. Entity definitions identify machine data pertaining to the entity. A key performance indicator (KPI) of the service characterizes the service on the whole or some aspect of it. Each KPI is defined by a search query that derives a value from machine data identified in the entity definitions. Processing devices cause display of a service-monitoring page having a services summary region and a services aspects region. The summary region displays interactive summary tiles that each correspond to a service and present information about an aggregate KPI that characterizes the service. The aspects region displays interactive aspect tiles that each correspond to a KPI characterizing some aspect of an associated service. Additional information may be included in the service-monitoring page and interaction features enable a user to navigate to enhanced information displays.
Abstract:
One or more processing devices derive values indicative of various aspects of how a particular service in an information technology (IT) environment is performing at a point in time or for a period of time. The values are derived by a search query over machine data associated with the one or more entities that provide the service. The one or more processing devices determine a value for an aggregate key performance indicator (KPI) for the service to indicate or characterize the service overall from values for each of the various aspects.