Automated Network Monitoring via Dashboard Screenshot Analysis
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Solution Overview
Problem
Existing monitoring and detection approaches for e-commerce computer network systems are inefficient and cost-ineffective in identifying errors and improving performance, particularly during peak usage periods, leading to potential network congestion and downtime.
Innovation Solution
A method and system that automatically capture screenshots of performance metrics from monitoring dashboards, analyze them for undesirable performance, and provide actions to change configurations, using a processor and computer-readable storage medium to selectively transmit screenshots to designated recipients via a messaging channel, enabling on-demand data capture and automated notifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual monitoring and detection approaches are used, then system complexity is reduced, but productivity and reliability deteriorate due to inefficient error identification and performance monitoring
Solution Approach 1:
The system automatically monitors performance metrics, captures screenshots, analyzes data, and generates notifications without requiring manual intervention. The monitoring system serves itself by autonomously detecting performance degradation and generating alerts, thereby improving productivity while managing complexity through automation rather than manual processes
Solution Approach 2:
The system continuously monitors performance metrics and provides feedback by generating notifications when thresholds are exceeded. This closed-loop feedback mechanism enables automatic detection and response to performance issues, improving error detection efficiency while the structured feedback process helps manage system complexity through standardized protocols
2Reliability
If continuous monitoring of performance metrics is implemented, then reliability is improved, but loss of time increases due to manual intervention requirements
Solution Approach 1:
The system maintains continuous monitoring of performance metrics without interruption, automatically capturing screenshots and analyzing data in real-time. This continuous operation ensures reliability by constantly detecting performance degradation, while eliminating the time loss associated with manual monitoring cycles and intervention delays
Solution Approach 2:
The monitoring system operates autonomously without requiring manual intervention to maintain continuous monitoring. The system self-manages the entire process from data collection to analysis and notification generation, thereby ensuring continuous reliability while eliminating time loss from manual involvement
3Productivity
If automated screenshot capture and analysis is implemented, then productivity is improved, but device complexity increases due to additional components and processes
Solution Approach 1:
The system uses a multi-functional approach where a single automated platform handles screenshot capture, data analysis, threshold comparison, and notification generation. This universal system improves productivity by consolidating multiple functions into one integrated process, while managing complexity through functional integration rather than separate components
Solution Approach 2:
The automated system uses predefined thresholds and feedback protocols to simplify the analysis process. By establishing clear decision criteria in advance, the system reduces the complexity of automated analysis while maintaining high productivity through consistent, rule-based performance monitoring and alert generation
Data Source
AI summary
A method of improving computer network, includes receiving an identification of performance metrics of the computer network; automatically capturing screenshots of the monitoring dashboards of the performance metrics based on the identification; storing automatically the captured screenshots in an image file format on a storage facility; transmitting automatically and selectively, via a messaging channel, the captured screenshots to designated recipients; analyzing the received screenshots to assess the desired performance metrics, the analyzing including identifying undesirable performance metrics; and providing actions based on the analysis to change configurations of the computer network to address the identified undesirable performance metrics.