API Usage Logging for Function and Parameter Observability
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Solution Overview
Problem
Current logging methods for API libraries on client devices are basic and lack the capability to provide detailed insights for informed decision-making on deprecation or enhancement, failing to capture granular usage data such as function and parameter invocations.
Innovation Solution
A specialized data logging feature on client devices captures detailed observability data, including function and parameter usage, and communicates this data to targets for centralized logging and analytics, enabling proactive bug hunting and API performance insights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If basic logging methods are used for API libraries, then device complexity is reduced, but measurement precision of API usage data deteriorates
Solution Approach 1:
The patent introduces an intermediary logging system that sits between the API library and the basic console output. This intermediary layer captures detailed API usage data, processes it, and forwards it to appropriate destinations. The intermediary handles the complexity of data collection, filtering, and routing, allowing the core API library to remain simple while achieving high measurement precision through comprehensive data capture.
2Loss of information
If detailed observability data is captured for all API functions and parameters, then information completeness is improved, but loss of time for data processing increases
Solution Approach 1:
The patent implements partial action by selectively capturing API usage data based on configuration and importance. Not all API calls are logged with the same level of detail - the system can adjust the depth of observation based on priorities, allowing critical paths to be monitored comprehensively while less important operations receive minimal logging. This reduces overall processing time while maintaining information completeness for decision-making.
Solution Approach 2:
The system performs preliminary action by pre-configuring logging priorities, filters, and destinations before runtime. Data processing rules are established in advance, allowing the logging system to efficiently route and process data without making complex decisions during API execution. This preliminary setup minimizes runtime overhead while ensuring comprehensive data capture.
3Reliability
If comprehensive API usage metrics are collected, then reliability of decision-making is improved, but use of energy for data collection and transmission increases
Solution Approach 1:
The patent applies local quality by tailoring the level of data collection to specific needs and contexts. Different API functions, parameters, and usage scenarios are monitored with appropriate detail levels based on their importance to decision-making. Critical API endpoints receive comprehensive logging while less important ones use simplified tracking. This localized approach ensures reliable data for key decisions while minimizing energy consumption across the entire system.
Data Source
AI summary
Systems, methods, and computer-readable storage mediums for performing specialized data logging on a client device are disclosed. Observability data pertaining to an API on a client device is captured. The observability includes, for each of one or more functions of the API, a number of times the function is used and a number of times each parameter of the function is used. The observability data pertaining to the API is communicated to a target based on a type of the observability data.