Transient Data Capture via Proctor Modules for Real-Time Monitoring
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Solution Overview
Problem
Current systems face challenges in monitoring and tracking transient data transformations across multiple technology platforms during high-volume data processing, as transient data is temporarily stored and often overwritten, making it difficult to detect data modifications and identify processing errors in real-time.
Innovation Solution
A system comprising proctor modules that capture and replicate transient data in real-time from transient memory locations, allowing for the mapping and analysis of event data across platforms without modifying existing applications, enabling real-time tracking and processing evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If transient data is stored in memory locations for processing, then data processing can proceed, but the data becomes unavailable after subsequent processing and cannot be monitored
Solution Approach 1:
The proctor module captures and stores transient data in advance before it is overwritten or becomes unavailable. By performing this capture action preliminarily at the moment of data transformation, the system preserves information that would otherwise be lost during subsequent processing stages.
Solution Approach 2:
The proctor module creates a copy of the transient data at the time of capture. This copy is stored in a persistent location and maintains a reference to the original transient data, enabling monitoring and analysis without interfering with the original data processing flow.
2Adaptability or versatility
If multiple technology applications process data sequentially, then complex data transformations can be performed, but it becomes difficult to track and monitor data changes across platforms
Solution Approach 1:
The proctor module acts as an intermediary between the transient data and the monitoring system. It captures data at critical points and stores it with metadata about the processing context, enabling tracking of data changes across multiple platforms without requiring modifications to the existing applications.
Solution Approach 2:
The system provides feedback by capturing and storing transient data states at each processing stage. This enables the monitoring system to detect and measure data changes across platforms by comparing captured states, providing visibility into the data transformation process.
3Quantity of substance
If transient data is overwritten to make space for new data, then memory efficiency is improved, but the ability to monitor historical data states is lost
Solution Approach 1:
The proctor module performs preliminary capture of transient data before it is overwritten. By storing this data in advance in a persistent storage location, the system preserves historical data states while maintaining efficient memory utilization in the transient processing areas.
Data Source
AI summary
Embodiments of the invention are directed to systems, methods, and computer program products for monitoring, identifying and correlating changes to transient event data as a plurality of technology events are processed by a plurality of applications. The proctor module of the system is automatically triggered by addition of event data to transient memory locations associated with the plurality of applications. The proctor module is configured to capture the transient multiple-attribute event data, in real-time, before the data is dequeued. The technology event processing module is configured to format, log and index the captured data from the proctor module. The system then maps an event/record of formatted data associated with a first transient memory location with a second event to another event of formatted data from a second transient memory location, and subsequently analyzes the multi-attribute data to identify changes.