Automatic Trace Logging for Client-Server Diagnostics
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Solution Overview
Problem
Current computing systems face inefficiencies in diagnosing and addressing user issues due to the cumbersome process of logging and uploading trace and error messages, which requires user intervention and is time-consuming.
Innovation Solution
Implementing a system where trace information is automatically logged on a client computing system and uploaded to a service computing system, where it is configured to be searchable on a property-by-property basis, enabling support users to quickly identify and address issues without user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual logging and uploading of trace information is implemented, then trace data can be collected for analysis, but user time and operational complexity increase significantly
Solution Approach 1:
The system implements automatic trace information collection and upload without requiring user intervention. The client computing system automatically logs trace information from program objects and uploads it to the service computing system, eliminating the need for users to manually collect and transmit diagnostic data.
Solution Approach 2:
Trace information is automatically logged and uploaded in advance before users need to report issues. The system continuously collects trace data from program objects and makes it available on the service computing system prior to any diagnostic needs, so when users encounter issues, the data is already prepared and accessible.
2Reliability
If manual collection of trace information is required, then diagnostic data can be obtained, but the process becomes cumbersome and user-unfriendly
Solution Approach 1:
The client computing system automatically performs trace information collection and upload operations without requiring user actions. The system self-manages the entire process of capturing trace data from program objects, formatting it, and transmitting it to the service computing system, making the process transparent and effortless for users.
3Loss of information
If trace information is stored locally only, then data privacy is maintained, but accessibility and searchability for support users is limited
Solution Approach 1:
The service computing system acts as an intermediary between the client computing system and support users. It receives trace information from the client, stores it in a centralized location, and provides search capabilities that allow support users to efficiently query and analyze trace data without direct access to client systems, thus maintaining security while improving accessibility.
4Reliability
If comprehensive trace logging is implemented, then diagnostic information completeness improves, but system resource consumption increases
Solution Approach 1:
The system implements selective trace logging that captures only the most relevant diagnostic information from program objects rather than logging all possible data. This approach provides sufficient diagnostic completeness for issue resolution while minimizing the resource overhead on the client computing system.
Data Source
AI summary
Trace information representing a program object is automatically logged on a client computing system. It is uploaded to a service computing system where it is configured to be searchable on a property-by-property basis.


