Dynamic Event Catalyst System for Network Alert Routing
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Solution Overview
Problem
Current distributed network monitoring systems rely on static principles that become obsolete as network components change, leading to inefficiencies and a need for dynamic monitoring and alert notification systems that can adapt to changes in the network.
Innovation Solution
A system utilizing an event catalyst database to identify new event reports, determine appropriate alert notifications, and transmit them to responsible specialists, with features like tiered alert notifications and integration of historical data and event snapshots to optimize response.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static monitoring principles are used, then the monitoring scope is simple and manageable, but the monitoring efficiency becomes obsolete as network components change
Solution Approach 1:
The patent implements dynamic monitoring by continuously updating the monitoring scope based on current network state. The system dynamically adjusts which components are monitored and how they are monitored, allowing the monitoring principles to adapt as network components are added, removed, or modified over time, thereby resolving the contradiction between simplicity and adaptability.
Solution Approach 2:
The system employs feedback mechanisms where monitoring data is continuously collected, analyzed, and used to update the monitoring scope and principles. This closed-loop approach allows the monitoring system to automatically adapt to network changes without manual reconfiguration, improving adaptability while maintaining manageable complexity through automated decision-making.
2Reliability
If comprehensive monitoring of all network components is implemented, then monitoring coverage is maximized, but the resource consumption and processing load increase
Solution Approach 1:
The patent applies local quality by differentiating monitoring intensity and scope based on component criticality. High-priority components receive comprehensive monitoring with detailed tracking, while lower-priority components receive streamlined monitoring. This selective approach maximizes monitoring coverage for critical infrastructure while reducing processing load on less important elements, resolving the contradiction between coverage and resource consumption.
Solution Approach 2:
The system implements partial monitoring by focusing computational resources on the most critical monitoring tasks and components. Rather than applying uniform comprehensive monitoring to all network elements, the system performs detailed monitoring only where necessary for maintaining reliability, thereby achieving adequate coverage with reduced processing overhead.
3Reliability
If alert notifications are sent for all events, then response completeness is improved, but the signal-to-noise ratio decreases and specialists face alert fatigue
Solution Approach 1:
The patent implements differentiated alert notification strategies based on event severity and component criticality. Critical events trigger immediate, detailed notifications to appropriate specialists, while minor events are either aggregated into summary reports or suppressed entirely. This selective notification approach maintains response completeness for important events while reducing noise and alert fatigue for specialists, resolving the contradiction between completeness and operational efficiency.
Solution Approach 2:
The system extracts and filters out low-priority events from the alert notification stream, separating them from critical events that require immediate specialist attention. By removing unnecessary alerts from the notification flow while maintaining alerts for significant events, the system preserves response completeness for important issues while improving signal-to-noise ratio and reducing specialist burden.
Data Source
AI summary
Embodiments of the present invention provide a system for utilizing an event catalyst database to trigger the generation and transmittal of alert notifications in response to identification of new event reports. An event catalyst database is generated to associate unique combinations of server types and alert types with responsive alert notifications. Data feeds from a distributed network of a plurality of servers are imported and monitored to identify a new event report. A server identifier and an alert type are determined from the new event report and compared to the event catalyst database to determine the appropriate alert notification. The alert notification is generated and transmitted to a computing device of a specialist associated with the new event report.