Servicenow, Inc.

Chris Nguyen

Amit Chandulal Dhuleshia

Bradley David Owen

Gregory Grisco

Joshua Gerbasi

Oron Subayi

Yuval Rimar

Amit Arom-Zohar

Ardis Gabrielle Maison

Marjan Marzban

Haviv Rosh

Sreenevas Subramaniam

Stephen Scott Tucker

Tal Kapon

Hardik Modi

Olga Shaked

Vishal Rao

William Hurt

Benjamin Phan

Evan Qu

Nisan Bar Zion

A non-transitory computer readable storage medium may have stored thereon instructions that, when executed by an endpoint device, cause the endpoint device to perform operations including: (i) establishing, by the endpoint device, a first communication channel with an intermediary proxy server; (ii) receiving, from a computational instance and via the intermediary proxy server, a registration payload comprising a list of available proxy servers; (iii) ranking, at the endpoint device, the list of available proxy servers; (iv) selecting, by the endpoint device, a particular proxy server from the list of available proxy servers as ranked; (v) establishing, by the endpoint device, a second communication channel with the particular proxy server; and (vi) communicating, by the endpoint device, with the computational instance via the particular proxy server by utilizing the second communication channel.

Load balancing of discovery agents across proxy servers

Automating discovery server configuration as part of a discovery process includes determining one or more subnets selected from multiple subnets. Each of the one or more subnets selected is associated with a respective scheduled task. In response to determining the one or more subnets selected, one or more available discovery servers are identified from multiple discovery servers. The one or more discovery servers are configured based at least in part on the one or more subnets selected. In response to the automatic configuration, network discovery is initiated to perform the respective scheduled task.

System and method for automating the discovery process

Systems and methods for mapping configuration items to business functions within a corporate infrastructure are disclosed. Discovery processes to automatically create and update service maps may introduce an artificial dependency between configuration items that is not necessary to the business function represented in the service map. These unnecessary dependencies may be considered 'noise' and unnecessarily complicate the service map. Using machine learning techniques and procedures to identify short lived connections embodiments in accordance with this disclosure, dependency connections that may be considered noise may be detected and flagged. Once detected, these connections may be automatically removed from the service map to improve its accuracy and usefulness. Additionally, a user interface is provided that explains the 'reason codes' for identification of noise connections. Reason codes allow a user to understand how the machine learning algorithm traversed a decision tree to identify a connection as noise.

Traffic based discovery noise reduction architecture

An example embodiment may involve providing for display a discovery schedule creation page for creating a discovery schedule. The embodiment may also involve, in response to receiving user input indicative of creation of a discovery schedule via the discovery schedule creation page, providing for display a discovery process page. Providing the discovery process page for display may involve, while the discovery process is being carried out according to the discovery schedule, dynamically updating the discovery process page to include total numbers of discovery results. The discovery process page may include selectable links for navigating to and displaying three pages: a discovered configuration items page, an error flow page, and a scheduling summary page.

Operation of device and application discovery for a managed network

Growing community of inventors

San Diego, CA, United States of America

Chris Nguyen