Application Dependency Visualization Through Runtime Flow Monitoring
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Solution Overview
Problem
Organizations face challenges in visualizing and updating application dependency diagrams across different formats and locations, leading to inefficiencies and risks of sharing outdated information, which requires time-consuming manual redraws and resource wastage.
Innovation Solution
An application mapping engine monitors and analyzes process and data flows during runtime to generate dependency visualization maps, leveraging existing sources of dependency information and incorporating machine learning for updates and improvements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual redrawing of dependency maps is performed, then diagrams can be updated to reflect current state, but time consumption and resource wastage increase significantly
Solution Approach 1:
The system automatically monitors application runtime execution and self-updates dependency maps without requiring manual intervention. The application mapping engine continuously tracks process and data flows, generating updated dependency visualizations autonomously as applications evolve.
Solution Approach 2:
The dependency mapping process becomes continuous through automated runtime monitoring. Instead of periodic manual updates, the system operates continuously to capture dependency changes as they occur during application execution.
2Adaptability or versatility
If dependency diagrams are created in various formats and stored in multiple locations, then flexibility in representation is achieved, but complexity of management and interpretation increases
Solution Approach 1:
The system establishes a universal dependency map format that serves multiple purposes: visualizing dependencies, documenting architecture, communicating with stakeholders, and updating automatically. This single standardized format replaces the need for multiple different diagram styles and storage locations.
3Productivity
If existing dependency information sources are leveraged, then existing work is utilized, but outdated and inaccurate information may be propagated
Solution Approach 1:
The system implements feedback loops where runtime monitoring continuously validates and updates dependency information. Execution traces and monitored process flows provide feedback that corrects and updates dependency maps, ensuring accuracy while leveraging existing information sources.
Data Source
AI summary
An application mapping engine may determine dependencies in existing executable application by monitoring and analyzing process flow and data flow of the application during runtime execution. The application mapping engine may generate dependency visualization maps that illustrate dependency interaction information.


