Alert Triage Engine for Multi-Cloud Network Resilience
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Solution Overview
Problem
The complexity of stitching a network across multiple cloud providers and regions makes it cumbersome and time-consuming to plan and architect the network infrastructure, leading to potential delays in resolving issues.
Innovation Solution
A system that provides actionable alerts by triaging alerts from multiple cloud sources using AI/ML, allowing for the identification of the root cause of issues and enabling swift corrective actions without overwhelming the customer with unnecessary information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If alerts from multiple cloud sources are collected and presented to customers, then comprehensive monitoring coverage is improved, but information overload and customer alert fatigue increase
Solution Approach 1:
The system extracts only the most critical and actionable alerts from the vast amount of data generated by multiple cloud sources. By filtering and selecting only essential information, the system maintains comprehensive monitoring coverage while eliminating unnecessary noise that causes alert fatigue.
Solution Approach 2:
An intermediary alert triage system is introduced between the cloud sources and the customer. This mediator processes, prioritizes, and formats alerts from multiple clouds, transforming raw data into actionable insights while preventing information overload at the customer end.
2Loss of information
If all generated alerts are presented to customers, then complete information availability is improved, but operational response time increases due to information overload
Solution Approach 1:
The system performs preliminary triage and processing of alerts before they reach the customer. By pre-filtering, prioritizing, and categorizing alerts in advance, the system ensures complete information is processed while reducing the time needed for operational response.
Solution Approach 2:
Alerts are segmented into different categories and priority levels (e.g., critical, warning, informational). This segmentation allows the system to maintain complete information availability while enabling customers to focus on only the most urgent issues that require immediate action.
3Adaptability or versatility
If network infrastructure is stitched across multiple clouds, then cloud versatility and resilience are improved, but system complexity and planning time increase
Solution Approach 1:
The alert management system is designed with universal functionality to handle alerts from multiple cloud providers through a unified interface. This multi-functional approach maintains cloud versatility while abstracting the underlying complexity, allowing customers to manage diverse cloud environments without increasing operational complexity.
4Measurement precision
If comprehensive alert triage is performed, then actionable information quality is improved, but processing time and computational resources increase
Solution Approach 1:
The system applies partial triage by focusing computational resources on the most critical alert processing tasks. Instead of uniformly processing all alerts with full analysis, the system applies intensive analysis only to high-priority alerts while using lighter processing for lower-priority items, maintaining accuracy where needed while conserving resources.
Data Source
AI summary
Disclosed is a system that includes a plurality of regional cloud exchange platforms coupled to a distributed alert triaging engine. A system can include a first regional cloud exchange platform and a second regional cloud exchange platform, each of which includes a regional cloud services monitoring engine and a regional cloud exchange monitoring engine, and an alert triaging engine that provides a triaged alert, or portion thereof, to an appropriate audience.