Dynamic Dashboard Widgets for Distributed Transaction Monitoring
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Solution Overview
Problem
Traditional application monitoring tools provide static, non-tailored reports that are not very helpful for users, as they do not effectively communicate the status of distributed business transactions and require analysis to extract useful information.
Innovation Solution
A dashboard system that dynamically identifies and renders widgets based on user interest, automatically positioning them for optimal visibility, using event detection and user interaction data to prioritize the display of performance data such as latency and anomalies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If standard monitoring reports are provided, then comprehensive performance data is available, but the reports are not helpful and require analysis to extract useful information
Solution Approach 1:
The monitoring report is segmented into multiple widgets, each displaying a specific aspect of performance data (e.g., latency, anomalies, bottlenecks). This segmentation allows users to quickly access relevant information without analyzing comprehensive raw data, directly resolving the contradiction between information completeness and ease of analysis.
Solution Approach 2:
Different portions of the interface (widgets) are tailored to display different types of performance data with varying levels of detail and visualization methods. Critical information is highlighted in prominent locations while less critical data is displayed elsewhere, making the report immediately useful without requiring user analysis.
2Adaptability or versatility
If static reports are provided, then implementation is simple, but the reports are not tailored to particular users
Solution Approach 1:
The interface dynamically generates and positions widgets based on user interactions, events of interest, and performance data. The layout adapts in real-time to user needs, providing personalized monitoring views without requiring complex manual configuration, thus resolving the contradiction between adaptability and simplicity.
Solution Approach 2:
The system automatically monitors user interactions with widgets and autonomously repositions them to optimize visibility of relevant information. This self-adjusting capability provides user-tailored reports without requiring users to manually configure the interface, maintaining simplicity while achieving high adaptability.
3Measurement precision
If all performance data is displayed, then complete monitoring coverage is achieved, but critical issues are not highlighted
Solution Approach 1:
Widgets use color coding and visual indicators to highlight critical performance issues, anomalies, and bottlenecks. This visual differentiation allows users to quickly identify and respond to critical problems without manually analyzing all performance data, resolving the contradiction between detection accuracy and processing speed.
Solution Approach 2:
The system pre-processes performance data to identify and prioritize critical issues before display. Widgets are automatically generated and positioned to highlight the most important information first, enabling users to quickly address critical problems without having to process all raw performance data.
Data Source
AI summary
An interface for communicating the status of a distributed business transaction using widgets is provided. The widgets may be dynamically identified and automatically created such that they are useful and of interest to a user of the dashboard. The location of the widgets within the dashboard may be dynamically positioned such that the most important widgets are provided to preferred locations for particular user.