Servicenow, Inc.

Tal Kapon

Yuval Rimar

Haviv Rosh

Tal Ben Ari

Netta Hasdai

Olga Shaked

Hail Tal

Abhishek Kumar

Noam Biran

Bnayahu Makovsky

Sreenevas Subramaniam

Kurt Joseph Zettel, Ii

Swapnesh Patel

Gregory Grisco

Dov Miron

Joshua J Goldstein

Ofer Gati

Chris Nguyen

Joshua Gerbasi

Ravindra Bansal

Aditya Kumar

Benny Van De Sompele

Michael Steven Ludwig

Shlomi Sividia

Jesus Castro

Filip Deryckere

Benjamin Phan

Mark Jason Harun

William Hurt

Alessandro Buzzatti

Neta Hasdai-Rippa

Nisan Bar Zion

A datacenter that hosts a client instance may receive an input to perform discovery against a containerized application orchestration infrastructure that includes computing clusters associated with one or more resource providers. The datacenter retrieves cluster data associated with each computing cluster from the one or more resource providers, automatically creates respective discovery schedules for the computing clusters based on the cluster data, automatically executes the respective discovery schedules for the computing clusters, automatically retrieves respective authentication bearer tokens associated with the computing clusters, automatically performs respective discovery processes against the computing clusters using the respective authentication bearer tokens, and stores the resource data received from the computing clusters in a database.

Techniques for cloud agnostic discovery of clusters of a containerized application orchestration infrastructure

Persistent storage may be arranged to store sets of configuration data respectively corresponding to applications. One or more processors of a computational instance may be configured to: receive, from a data source, a set of configuration data corresponding to an application deployable on a network related to the computational instance, wherein the set of configuration data defines components, packages, and environments, wherein the packages include one or more of the components, and wherein the environments include one or more of the packages; write, to the persistent storage, a representation of the set of configuration data; look up one or more policies applicable to the set of configuration data; and validate, by a policy engine, the set of configuration data by applying the one or more policies to the set of configuration data.

Centralized configuration data management and control

Systems, methods, and media are presented that are used to recompute a service model to match data in a configuration management database. Recomputing includes detecting a change to a configuration item in a configuration management database and marking a recomputing environment indicating a recomputing environment to be recomputed based on the change. Using a recomputation job, a service environment database is queried and a response is received from the service environment indicating at least the recomputing environment. The recomputation job then recomputes the service environment to match a service model to the change in the configuration management database.

Systems and methods for recomputing services

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

Systems and methods may include a managerial server, such as an intermediary measurement, instrumentation, and discovery (MID) server, communicatively coupled to an instance hosted by a cloud service platform. The managerial server is also coupled to an agent. The managerial server is configured to receive a first result from a first check executed by the agent having a first check type and to transmit the first result to the instance using a connection type generic to multiple check types including the first check type. The managerial server is also configured to receive a second result from a second check executed by the agent having a second check type and to transmit the second result using a dedicated pipeline for the second check type.

Systems and methods for an enhanced framework for a distributed computing system

The present approach relates to querying a configuration item (CI). The CI may be associated with a monitoring agent. In accordance with this approach, a check request is sent to a management, instrumentation, and discovery (MID) server. The check request may be sent to the monitoring agent. Additionally, a check result may be received from the monitoring agent. The check result may have data associated with the CI and the check request.

Systems and methods for enhanced monitoring of a distributed computing system

A system includes a non-transitory memory and one or more hardware processors. The hardware processors are configured to read instructions from the non-transitory memory to perform operations including generating a service mapping illustrating a plurality of discovered configuration items connected to a network and one or more connections between the plurality of discovered configuration items, wherein at least one of the plurality of discovered configuration items comprises a virtual platform server, receiving input data from the generated service mapping associated with the virtual platform server, wherein the input data indicates one or more manual configuration item additions, validating the input data of the one or more manual configuration item additions, update the service mapping to include the one or more manual configuration item additions, generating a specified number of tasks to be performed by the service mapping, and determining an amount of time for the updated service mapping to respond to the set number of tasks.

Systems and methods for service mapping

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Givataim, Israel

Tal Kapon