Dashboard for Alert Storage and History
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Solution Overview
Problem
Conventional network management systems are inadequate in handling fault management, as they fail to utilize a broader suite of collection modalities, normalize and enrich alerts, leading to incomplete information for users, which prolongs fault resolution and impacts network services.
Innovation Solution
The implementation of a dashboard for alert storage and history (DASH) that consolidates current and historical alerts, cleans raw alert data, and provides a user interface for viewing, filtering, and organizing alert data, using a system that includes alert live, history, and log databases, along with enrichment and ingestion functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional network management systems use only passive monitoring or active polling, then the system complexity is low, but the completeness of alert information is insufficient
Solution Approach 1:
The patent combines multiple monitoring modalities (passive monitoring, active polling, ping, and other collection methods) into a unified fault management system. The system merges alert data from various sources, normalizes the data formats, and enriches alerts with additional device and network information, thereby achieving complete alert information while managing system complexity through integration.
Solution Approach 2:
The fault management system is designed to handle multiple aspects of monitoring and alert management through a single unified platform. It provides universal functionality for collecting, normalizing, enriching, and tracking alerts from diverse network devices, eliminating the need for separate monitoring tools and improving information completeness.
2Ease of operation
If conventional systems do not normalize and enrich alerts, then the data processing complexity is low, but the usability of alert data for users is poor
Solution Approach 1:
The system performs preliminary normalization and enrichment of alert data automatically upon receipt. Alert data is pre-processed to standardize formats, add missing device and network context, and organize information before being presented to users. This preliminary action eliminates the need for users to manually process or interpret raw alert data, significantly improving usability.
3Productivity
If conventional systems do not provide consolidated tracking of current, cleared, and transactional alerts, then the system simplicity is maintained, but the productivity of fault resolution is reduced
Solution Approach 1:
The system maintains continuous tracking of alerts through their entire lifecycle - from generation to clearance and transactional updates. The fault management system continuously monitors and records alert states, providing uninterrupted visibility into fault resolution progress. This continuous tracking enables users to quickly assess the status of multiple alerts and prioritize resolution actions, significantly improving fault resolution productivity.
4Loss of information
If conventional systems do not clean raw alert data, then the data storage requirements are minimal, but the quality of information available to users is insufficient
Solution Approach 1:
The system extracts and removes unnecessary or erroneous data elements from raw alert data during the normalization process. By separating useful information from redundant or incorrect data, the system produces cleaned, high-quality alert information that is ready for user consumption. This extraction of meaningful data from raw inputs significantly improves information quality without requiring complex manual cleaning processes.
Data Source
AI summary
Novel tools and techniques are provided for implementing dashboard for alert storage and history (“DASH”). In various embodiments, DASH provides for consolidated tracking and monitoring of two or more of current (or active) alerts, cleared alerts, and/or transactional information for alerts that are stored within corresponding alert live database that mirrors current alert instance data in a real-time fault management system, alert history database that contains a snapshot of an alert history of each alert or corresponding network device, and/or alert log database that contains a full transaction record of every copy of an alert either over a first duration or having a total data size within a first total data size. DASH also cleans received alert data and/or enriches the alert data, and provides a user interface (“UI”) that enables a user to view, absorb, filter, manage, and/or organize alert data to facilitate addressing of alerts in the network(s).