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Use of IP Center Data to Perform a Self-Healing Task - Automated Handling of False Positives

IP.com Disclosure Number: IPCOM000249283D
Publication Date: 2017-Feb-15
Document File: 2 page(s) / 21K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a method to use special IPcenter* virtual engineers (VEs), which leverage IPcenter data and IPcenter's eBonding capabilities, to perform self-healing tasks to eliminate failures in future virtual engineer executions. The novel solution introduces a maintenance database in IPcenter, which VEs can use to determine whether the alert under response is happening during a maintenance window, as well as determine the correct action.

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Use of IP Center Data to Perform a Self -Healing Task - Automated Handling of False Positives

The IPcenter* product supports the implementation of virtual engineers (VE) that react to monitoring system alerts and ticketing system service requests. The virtual engineers perform the same tasks that human system administrators normally perform to diagnose and remediate problems and implement service requests. IPcenter also provides eBonding to client specific monitoring and ticketing systems (e.g., a service that synchronizes IPcenter’s monitoring and ticketing systems with a client specific system). Finally, IPcenter centrally stores execution and configuration item (e.g., server) data, which is used to match VEs to monitoring system alerts, connect to target endpoint servers, and communicate with monitoring and ticketing systems. Problems can occur, which cause virtual engineers to fail.

The novel solution uses special IPcenter virtual engineers, which leverage IPcenter data and IPcenter's eBonding capabilities, to perform self-healing tasks to eliminate failures in future virtual engineer executions.

Existing technology for special IPcenter VEs leverages IPcenter data and IPcenter's eBonding capabilities to perform one self-healing task. That task is to communicate with a system administrator to assign a newly received monitoring situation to an existing VE, which then handles the current and future alerts. The novel approach extends the existing technology by introducing special IPcenter VEs. These IPcenter VEs perform the self-healing task of identifying alert pattern information and communicating with a system administrator to define how VEs should handle alerts during the maintenance windows.

A special VE analyzes IPcenter data to identify alert patterns that might be false alerts caused by routine maintenance or regularly sc...