Telemetry Interception Platform for Software Reliability Analysis
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Solution Overview
Problem
Software development tools lack effective methods to thoroughly test and analyze software for issues like security flaws and run-time errors before production releases, leading to the need for updates or patches.
Innovation Solution
A telemetry interception and analysis platform (TIAP) that intercepts and analyzes telemetry events from applications by executing a TIAP runtime, collecting parameters, trampolining calls to native libraries, and transmitting events to a TIAP portal, providing detailed analytics and alerts for issue identification and resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional software testing methods are used, then development time is reduced, but software reliability deteriorates due to undetected security flaws and runtime errors
Solution Approach 1:
The patent implements preliminary action by integrating telemetry interception and analysis capabilities into the software development process before production release. The system intercepts telemetry events during development and testing phases, enabling early detection of security flaws and runtime errors. This preliminary monitoring allows developers to identify and fix issues before they reach production, thereby improving software reliability without significantly extending development time.
Solution Approach 2:
The patent employs feedback mechanisms by continuously collecting telemetry data from software execution and providing real-time analysis results to developers. The system monitors runtime behavior, detects anomalies, and feeds this information back into the development process. This continuous feedback loop enables iterative improvement of software reliability while maintaining efficient development cycles through automated analysis and early warning systems.
2Difficulty of detecting and measuring
If comprehensive telemetry monitoring is implemented, then issue detection capability is improved, but system complexity increases
Solution Approach 1:
The patent uses an intermediary approach by introducing a telemetry interception layer that sits between the software application and the monitoring system. This intermediary component captures telemetry events without requiring modifications to the core application code, thereby improving issue detection capability while minimizing the increase in overall system complexity. The interception layer acts as a buffer that simplifies the integration of monitoring capabilities.
Solution Approach 2:
The patent applies segmentation by dividing the telemetry monitoring system into distinct modular components: event interception modules, data collection modules, analysis modules, and reporting modules. Each component has a specific function and can be independently configured and maintained. This modular architecture improves issue detection capability through specialized analysis while managing system complexity through clear separation of concerns and reusable components.
3Reliability
If real-time telemetry analysis is performed, then software performance monitoring is improved, but computational resources are consumed
Solution Approach 1:
The patent implements partial action by selectively monitoring and analyzing only the most critical telemetry events rather than processing all possible data points in real-time. The system prioritizes high-impact events such as security-related anomalies, runtime errors, and performance-critical metrics while using less intensive analysis for routine operations. This approach improves software performance monitoring for critical issues while reducing overall computational resource consumption.
Solution Approach 2:
The patent employs periodic action by implementing different analysis frequencies for different types of telemetry events. Critical events trigger immediate real-time analysis, while less critical events are analyzed at periodic intervals. This stratified approach ensures that important performance and reliability issues are detected promptly while reducing the constant computational load by batching less urgent analysis tasks, thereby optimizing the balance between monitoring quality and resource usage.
Data Source
AI summary
Systems, methods, and computer-readable media for intercepting telemetry events obtained during operation of an application and analyzing the telemetry events are provided. The telemetry events are intercepted at the library level by interposing on application calls to a native library. The telemetry events are collected and transmitted to a platform that analyzes the collected events and presents information based on the analysis.


