Virtual Server Log Analysis for Real-Time A/B Testing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional systems for A/B testing on virtual servers are inefficient, requiring developers to wait for prolonged periods to identify issues with website versions, lack real-time code alteration capabilities, and provide only post-interaction analysis, hindering immediate issue resolution and increasing bugs and logging errors.
Innovation Solution
A computer-implemented system for live analysis of virtual server logs that processes log entries with metadata, determines test versions, stores data in a database with an inverted index, compares exposure ratios, and directs requests to a default test version when the ratio is outside a target range, enabling near-real-time monitoring and adjustment of A/B testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If conventional systems are used for A/B testing, then system simplicity is maintained, but real-time monitoring capability deteriorates (developers must wait 15+ minutes to see if versions are running)
Solution Approach 1:
The system segments the log processing pipeline into distinct components: log collection from virtual servers, real-time processing engine, exposure ratio calculation module, and dynamic traffic routing. This segmentation enables each component to optimize for real-time performance independently while maintaining overall system manageability.
Solution Approach 2:
The patent introduces an intermediary processing layer between log generation and analysis. This intermediary system continuously processes log entries, calculates exposure ratios, and triggers dynamic routing decisions, enabling real-time monitoring without requiring direct complex queries to the underlying virtual server infrastructure.
2Loss of time
If conventional post-interaction analysis systems are used, then system simplicity is maintained, but issue resolution time deteriorates (developers cannot fix code immediately)
Solution Approach 1:
The system performs preliminary real-time analysis of log entries as they are generated, calculating exposure ratios continuously. This preliminary action enables the system to detect issues immediately and trigger dynamic traffic routing changes before developers manually investigate and fix problems, significantly reducing issue resolution time.
Solution Approach 2:
The patent implements a closed-loop feedback system where real-time exposure ratio calculations automatically trigger traffic routing adjustments. When the exposure ratio falls outside the target range, the system automatically redirects traffic to the default version, providing immediate feedback and enabling rapid issue resolution without manual intervention.
3Adaptability or versatility
If conventional A/B testing systems are used, then implementation simplicity is maintained, but dynamic code alteration capability deteriorates (developers cannot dynamically alter code in real-time)
Solution Approach 1:
The system dynamically adjusts traffic routing based on real-time exposure ratio calculations. Developers can modify the target exposure ratio range, and the system automatically adapts traffic distribution in real-time. This dynamic capability enables flexible code alteration testing without requiring system reconfiguration, enhancing adaptability while managing complexity through automated responses.
Data Source
AI summary
A system for live analysis of testing logs. The system including a memory and a processor configured to execute the instructions to perform operations including receiving a plurality of log entries; processing the plurality of log entries; storing the processed plurality of log entries in a database having an inverted index; receiving a query from a user device; returning test data, metadata, and statistics related to the one or more log entries; displaying the test data, the metadata, and the statistics on a GUI; comparing an exposure ratio to a range, the exposure ratio being based on a first amount of log entries associated with a first test version and a second amount of log entries associated with a second test version; and upon determining the exposure ratio is outside of the range, directing all requests from subsequent test users to a default test version.


