Controlled Data Extraction System for Real-Time Code Modification
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Solution Overview
Problem
Software engineers face challenges in analyzing or modifying code due to the need for multiple tools to collect data from various sources, with existing solutions being slow and inefficient, particularly for remote access and real-time data extraction.
Innovation Solution
A method and system for controlled data extraction in computer networks that involves monitoring data from nodes, determining relevant data portions based on specific rules, moving them to a data sink, analyzing, and modifying segments in real-time, using a processor configured for tracing, bytecode-manipulation, and debugger interfaces, allowing for agile and efficient data management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple tools are used to collect data from different sources, then data collection capability is improved, but system complexity increases
Solution Approach 1:
The patent combines multiple data collection tools and functions into a unified data extraction system that can collect data from various sources (logs, exceptions, performance metrics) through a single integrated platform, thereby maintaining versatility while reducing system complexity
Solution Approach 2:
The system implements a universal data extraction interface that can handle multiple data types and sources through standardized methods, allowing a single tool to perform multiple data collection functions rather than requiring separate specialized tools
2Ease of operation
If code snapshots are retrieved for analysis, then remote code analysis is enabled, but real-time data extraction capability deteriorates
Solution Approach 1:
The system performs preliminary setup by installing instrumentation agents and configuring data extraction rules in advance, enabling real-time data collection without requiring code snapshots during actual analysis operations
Solution Approach 2:
The patent implements continuous real-time data extraction through persistent connections and streaming data collection mechanisms, allowing ongoing analysis without interrupting software execution or requiring periodic code snapshots
3Adaptability or versatility
If data is collected to temporary target with separate ETL process, then data transformation flexibility is improved, but processing time increases
Solution Approach 1:
The system performs data transformation operations in advance during data collection, pre-processing data into the required format before it reaches the final destination, thereby eliminating the need for separate ETL processing stages
Solution Approach 2:
The patent merges the data extraction, transformation, and loading operations into a single integrated process that occurs in real-time during data collection, rather than using separate ETL batches, thus maintaining transformation flexibility while reducing processing time
Data Source
AI summary
Methods and systems for controlled data extraction in a computer network, with: monitoring data from at least one program running on a node of the computer network, determination of at least one data portion from the monitored data, where the data portions are selected upon identification of at least one of: application and server events, code line execution, file access and data calls, moving of the determined at least one data portion to a data sink, analyzing of the data on the data sink to determine at least one segment for modification, and modifying the at least one segment.