Abstract: Systems and methods are provided for dynamic selection of anomaly detection options for particular metric data. Metric data corresponding to one or more configuration items of an information technology (IT) infrastructure is collected. A selected anomaly detection action option that applies to the metric data is identified. An action is performed using the metric data, based upon the selected anomaly detection action option. A dashboard graphical user interface (GUI) display results of the action.

Abstract: The present approach relates generally to systems and methods for outputting metric data from resources with a database accessible by a client instance. The client instance is hosted by one or more data centers and accessible by one or more remote client networks. In accordance with the present approach, a request to track metric data related to a resource is received. Further, a configuration item (CI) is retrieved from a database accessible by the client instance based at least in part on data associated with the request. Further, a type of CI is identified. Even further, a resource type associated with the type of the CI is identified based at least in part on a resource abstraction layer accessible by the client instance. Further still, the resource type is linked to the resource table and metric data associated with the resource is outputted.

Abstract: Systems and methods are provided for dynamic selection of anomaly detection options for particular metric data. Metric data corresponding to one or more configuration items of an information technology (IT) infrastructure is collected. A selected anomaly detection action option that applies to the metric data is identified. An action is performed using the metric data, based upon the selected anomaly detection action option. A dashboard graphical user interface (GUI) display results of the action.

Abstract: Systems and methods are provided for dynamic selection of anomaly detection options for particular metric data. Metric data corresponding to one or more configuration items of an information technology (IT) infrastructure is collected. A selected anomaly detection action option that applies to the metric data is identified. An action is performed using the metric data, based upon the selected anomaly detection action option. A dashboard graphical user interface (GUI) display results of the action.

Abstract: The present approach relates generally to systems and methods for outputting metric data from resources with a database accessible by a client instance. The client instance is hosted by one or more data centers and accessible by one or more remote client networks. In accordance with the present approach, a request to track metric data related to a resource is received. Further, a configuration item (CI) is retrieved from a database accessible by the client instance based at least in part on data associated with the request. Further, a type of CI is identified. Even further, a resource type associated with the type of the CI is identified based at least in part on a resource abstraction layer accessible by the client instance. Further still, the resource type is linked to the resource table and metric data associated with the resource is outputted.