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: Disclosed are methods, apparatuses and systems for collecting transactional and dimensional data. One implementation includes a configuration management database, a first data collection agent operating on a first monitored server to collect metadata associated with the first monitored server from the configuration management database using the first data collection agent, collect metric data from the first monitored server regarding operation of the first monitored server, wherein the metric data includes at least one metric collected from at least one application executing on the first monitored server; and assemble the collected metric data and at least part of the collected metadata into a packet for transmission from the first monitored server to a message bus; and a distributed database configured to receive the packet from the message bus and to store the collected metric data and metadata included in the packet.

Abstract: An enterprise platform may include a time series database that may include time series data related to a plurality of configuration items associated with an enterprise. The enterprise platform may also include one or more instance data tables having instance data associated with the plurality of configuration items. The enterprise platform may also include an alert interface that may receive an indication of an alert associated with a configuration item of the plurality of configuration items and determine a subset of a plurality of metrics associated with the alert based on the configuration item and the time series data, the instance data, or both. The alert interface may then generate a plurality of visualizations for display via a user interface based on the subset of the plurality of metrics.

Abstract: Disclosed are methods, apparatuses and systems for collecting transactional and dimensional data. One implementation includes a configuration management database, a first data collection agent operating on a first monitored server to collect metadata associated with the first monitored server from the configuration management database using the first data collection agent, collect metric data from the first monitored server regarding operation of the first monitored server, wherein the metric data includes at least one metric collected from at least one application executing on the first monitored server; and assemble the collected metric data and at least part of the collected metadata into a packet for transmission from the first monitored server to a message bus; and a distributed database configured to receive the packet from the message bus and to store the collected metric data and metadata included in the packet.

Abstract: A platform includes a time series database. The platform also includes one or more instance data tables. A function library of the platform includes a set of function definitions and a scripting engine of the platform executes scripts. An advanced insight endpoint of the platform is communicatively coupled to and accessible by an advanced insights explorer user interface. The advanced insight endpoint receives one or more expressions from an expression component of the advanced insights explorer user interface, parses the one or more expressions and validates the one or more expressions against the set of function definitions. The endpoint generates and provides one or more scripts corresponding to the one or more expressions and receives results of execution the one or more scripts. Results are provided to a visualization component of the advanced insight user interface, to cause rendering of the results within the advanced insights explorer user interface.

Abstract: An enterprise platform may include a time series database that may include time series data related to a plurality of configuration items associated with an enterprise. The enterprise platform may also include one or more instance data tables having instance data associated with the plurality of configuration items. The enterprise platform may also include an alert interface that may receive an indication of an alert associated with a configuration item of the plurality of configuration items and determine a subset of a plurality of metrics associated with the alert based on the configuration item and the time series data, the instance data, or both. The alert interface may then generate a plurality of visualizations for display via a user interface based on the subset of the plurality of metrics.

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: An apparatus for grouping alerts generated by automated monitoring of at least an operating condition of a machine, represented as a configuration item in a configuration management database, in a computer network. A first event pattern is identified based on configuration items associated with an alert avalanche identified from received historical alert data stored in memory. A second event pattern is identified based on co-occurrences of configuration item pairs in the historical alert data and on at least one conditional probability parameter. At least one alert group is determined by comparing at least one configuration item associated with a current alert to the plurality of configuration items of the first event pattern and of the second event pattern stored in memory. A graphical display region for displaying the alert group is generated.

Abstract: A platform includes a time series database. The platform also includes one or more instance data tables. A function library of the platform includes a set of function definitions and a scripting engine of the platform executes scripts. An advanced insight endpoint of the platform is communicatively coupled to and accessible by an advanced insights explorer user interface. The advanced insight endpoint receives one or more expressions from an expression component of the advanced insights explorer user interface, parses the one or more expressions and validates the one or more expressions against the set of function definitions. The endpoint generates and provides one or more scripts corresponding to the one or more expressions and receives results of execution the one or more scripts. Results are provided to a visualization component of the advanced insight user interface, to cause rendering of the results within the advanced insights explorer user interface.

Abstract: An apparatus for grouping alerts generated by automated monitoring of at least an operating condition of a machine, represented as a configuration item in a configuration management database, in a computer network. A first event pattern is identified based on configuration items associated with an alert avalanche identified from received historical alert data stored in memory. A second event pattern is identified based on co-occurrences of configuration item pairs in the historical alert data and on at least one conditional probability parameter. At least one alert group is determined by comparing at least one configuration item associated with a current alert to the plurality of configuration items of the first event pattern and of the second event pattern stored in memory. A graphical display region for displaying the alert group is generated.