Application-to-Environment Mapping via API Gateway Logging
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Solution Overview
Problem
Inconsistent mapping of client computing applications to backend computing environments leads to unclear data discrepancies during testing and development, prolonging resolution times and increasing the risk of defects in client and backend applications.
Innovation Solution
A method and system for mapping client computing applications to backend environments by extracting metadata from data transmissions via an API gateway, logging this data, and generating a user interface to visualize and test these mappings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data transmissions are logged with environment indicators, then troubleshooting efficiency is improved, but system complexity increases
Solution Approach 1:
The system performs preliminary mapping of client applications to backend computing environments by extracting and logging environment indicators from data transmissions before actual testing or troubleshooting occurs. This advance preparation creates a reference map that speeds up subsequent defect resolution without adding complexity during critical testing phases
Solution Approach 2:
The patent introduces an intermediary logging mechanism that captures environment indicators from data transmissions between client and backend systems. This intermediary layer records mapping information without disrupting the core application communication, thereby improving troubleshooting capability while maintaining system modularity and avoiding direct complexity injection into the primary system architecture
2Measurement precision
If mapping logs are generated and stored, then data discrepancy attribution is improved, but information storage requirements increase
Solution Approach 1:
The system extracts only the essential environment indicator from data transmissions and stores it in mapping logs, separating this critical attribution information from the full data transmission payload. This extraction approach enables precise data discrepancy attribution while minimizing storage requirements by recording only the necessary identifying information rather than complete transmission data
Solution Approach 2:
The mapping logs store lightweight environment indicator records that serve their purpose for attribution and can be discarded or overwritten once their diagnostic value is exhausted. These minimal records provide sufficient information for data discrepancy attribution without creating long-term storage burdens, allowing the system to maintain precision while managing storage efficiently
Data Source
AI summary
Mapping a message sent between computing applications to a computing environment associated with one of the computing applications. The computing environment can be a test environment used for developing the computing application. Identification of the computing environment and other data from the message can be extracted from a header of the message and logged. The logged data can be stored in a storage and displayed via a user interface.


