Alert Notification Pausing for Transient Incident Suppression
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Solution Overview
Problem
Complex IT systems generate a flood of disparate event messages, leading to inefficient manual techniques and resource wastage in processing transient alerts, which degrade performance and increase energy consumption.
Innovation Solution
Implementing a system that predicts transient alerts and pauses notifications for a specified duration, resuming only if the alert remains unresolved, thereby conserving computational and network resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual techniques and pre-programmed rules are used to process alerts, then alert processing can be performed, but labor and computing resources are intensive and expensive
Solution Approach 1:
The system automatically predicts alert transience using machine learning models and self-manages the pause period without human intervention. The automation engine evaluates alert characteristics, determines pause eligibility, and manages notification suppression automatically, eliminating the need for manual processing while reducing computational resource consumption.
Solution Approach 2:
The system changes the state of alert notifications from immediate transmission to paused transmission based on predicted transience parameters. By modifying the notification delivery parameter dynamically based on alert analysis, the system reduces unnecessary computational resources while maintaining effective alert processing.
2Loss of information
If all alerts are processed and notifications sent immediately, then visibility into operational metrics is provided, but noise and resource waste increase
Solution Approach 1:
The system extracts and separates transient alerts from permanent alerts by analyzing alert patterns and predictions. Transient alerts are identified and handled differently through pause periods, while permanent alerts maintain immediate notification. This extraction reduces energy consumption by avoiding unnecessary processing of transient alerts while preserving visibility into operational metrics through selective notification.
Solution Approach 2:
The system performs preliminary analysis of alert characteristics before sending notifications. By evaluating alert patterns, sources, and historical data in advance, the system determines whether to pause notifications, thereby preventing unnecessary energy consumption while maintaining alert visibility for critical issues.
3Extent of automation
If pre-programmed rules are used for alert management, then processing can be automated, but the ability to scale and evolve for future advances is limited
Solution Approach 1:
The system incorporates feedback loops where alert outcomes are fed back into the machine learning model to improve future predictions. This feedback mechanism enables the automation engine to adapt to changing system conditions and evolve its pause decision logic, maintaining high automation levels while improving scalability and adaptability for future system advances.
Solution Approach 2:
The system uses dynamic, adaptive automation rather than static pre-programmed rules. The machine learning models continuously learn from new alert patterns and system behavior, allowing the automation engine to adapt its decision-making to evolving conditions. This dynamic approach maintains automation benefits while enabling scalability for future system changes.
Data Source
AI summary
Pausing alert notifications includes determining that an alert is likely transient responsive to identifying, based on data in a rolling table, that 1) a first number of most recently resolved alerts that are similar to the alert is greater than a predetermined minimum number and 2) at least a predetermined second number of the most recently resolved alerts that are similar to the alert were transient. Responsive to determining that the alert is likely transient, transmission of a notification associated with the alert is withheld during a pause period. A determination is made as to whether the alert is unresolved after a lapse of the pause period. Responsive to determining that the alert is unresolved after the lapse of the pause period, a responder is notified of the alert.