Abstract:
Raw machine data are captured and may be organized as events. Entity definitions representing machine entities that perform a service identify the machine data pertaining to respective entities. KPI search queries each define a KPI. Each KPI search query derives one or more values for the KPI from machine data identified in the entity definitions. The derivation may be performed on a per-entity basis and on the aggregate. The derived values may then be translated into a state value domain using per-entity thresholds, aggregate thresholds, or a combination.
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:
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:
Raw machine data are captured and may be organized as events. Entity definitions representing machine entities that perform a service identify the machine data pertaining to respective entities. KPI search queries each define a KPI. Each KPI search query derives one or more values for the KPI from machine data identified in the entity definitions. The derivation may be performed on a per-entity basis and on the aggregate. The derived values may then be translated into a state value domain using per-entity thresholds, aggregate thresholds, or a combination.
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:
Processing devices receive a file having entries having data items separated by delimiters. Each data item has an ordinal position. The processing device(s) cause display of a table, having rows and columns, in a graphical user interface. Each data items of a particular entry appears in a respective column of the same row. Each column corresponds to the ordinal position of its respective data item. User input is received designating, for each respective column, a field name and an entity definition component type to which the respective column pertains, and stores for each of the data items of the particular entry a value of an element of an entity definition. The element has the element name designated for the respective column in which the data item appeared, and is associated with an entity definition component having the type designated for the respective column in which the data item appeared.
Abstract:
Raw machine data are captured and may be organized as events. Entity definitions representing machine entities that perform a service identify the machine data pertaining to respective entities. KPI search queries each define a KPI. Each KPI search query derives one or more values for the KPI from machine data identified in the entity definitions. The derivation may be performed on a per-entity basis and on the aggregate. The derived values may then be translated into a state value domain using per-entity thresholds, aggregate thresholds, or a combination.
Abstract:
A processing device performs a search query to produce a search result set having entries having data items. Each data item has an ordinal position. A table, having rows and columns, is displayed in a graphical user interface. Each data item of a particular entry appears in a respective column of the same row of the table. Each column corresponds to the ordinal position of its respective data item. User input is received designating, for each respective column, a field name and an entity definition component type to which the respective column pertains, and stores for each data item of the particular entry an element value of an entity definition. The element has the element name designated for the respective column in which the data item appeared, and is associated with an entity definition component having the type designated for the respective column in which the data item appeared.
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:
Provided are systems and methods for determining and displaying service performance information via a graphical user interface. In one embodiment, a system can provide, for each of one or more machines associated with a service: obtaining performance data for the machine; and comparing the performance data for the machine to one or more predefined performance thresholds for the machine to determine a health status for the machine; and determining a health status for the service based at least in part on the health status of at least one of the one or more machines associated with the service.