Servicenow, Inc.

Ritika Goyal

Kanwaldeep Kaur Dang

Madhavi Puvvada

Serina Chang

Navindra Sharma

Tara Herputri Tarjoto

Michael Joseph Marson

Nathan William Goretski

Bnayahu Makovsky

Purushottam Shridhar Amradkar

Vincent Seguin

Anand Nikhil Mehta

Szu-hsuan Lee

Luc John Johnson

Austin James Steeno

An importation tool is disclosed that enables importation of configuration item (CI) data into a configuration management database (CMDB) from external services. The CMDB importation tool includes corresponding predefined configurations for particular external services that define how the data collected by the external services is imported into the CMDB, either directly or via one or more transformations, enabling importation of external service data regardless of the format or schema used by the external service. The CMDB importation tool enables relationships to be defined between attributes of the imported data, and ensures that these relationships are enforced during the importation process to provide improved internal consistency of the imported data. Additionally, certain CMDB classes may be modified with specialized fields to enable improved duplicate tracking and management within the CMDB. As such, these techniques enhance both the quantity and quality of CI data stored within the CMDB.

System and method for importation of configuration item (CI) data into a configuration management database (CMDB)

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.

Systems and methods for linking metric data to resources

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.

Alert intelligence integration

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.

Advanced insights explorer

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Seattle, WA, United States of America

Ritika Goyal