Application Degradation Detection Using Computational Models
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods lack a proactive solution to eliminate application degradation in production environments during upgrades, leading to operational instability and inefficiencies in resource utilization.
Innovation Solution
A system using advanced computational models for data analysis and automated decision-making that compares historical and updated access path performance characteristics, identifies degradations, and implements AI-driven solutions to optimize resource allocation and correct performance issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If applications are upgraded in production environment, then new functionality and performance improvements are achieved, but application degradation and operational instability occur
Solution Approach 1:
The system performs preliminary analysis of access path performance characteristics before implementing upgrades in the production environment. By comparing historical performance data with projected upgrade outcomes, the system identifies potential degradations in advance and prepares corrective actions, thereby preventing operational instability while maintaining productivity improvements.
Solution Approach 2:
The system continuously monitors access path performance characteristics and compares actual performance against expected performance after upgrades. This feedback mechanism enables the system to detect application degradation early and automatically implement corrective measures, resolving the contradiction between achieving new functionality and maintaining operational stability.
2Measurement precision
If manual methods are used to determine and correct application degradation, then resource consumption is high, but detection accuracy and response time are limited
Solution Approach 1:
The system replaces manual degradation detection and correction methods with an automated computational model that analyzes access path performance characteristics. This substitution of mechanical/manual processes with automated computational analysis improves detection accuracy while reducing resource consumption, as the automated system can process performance data efficiently without requiring extensive manual intervention.
Solution Approach 2:
The system enables self-service degradation detection and correction by automatically monitoring access path performance, identifying degradations, and implementing corrective actions without manual intervention. This self-service capability improves measurement precision through continuous automated monitoring while reducing resource consumption by eliminating redundant manual processes.
3Measurement precision
If comprehensive performance monitoring is implemented, then degradation detection accuracy improves, but system complexity and resource requirements increase
Solution Approach 1:
The system extracts and focuses monitoring efforts on critical access path performance characteristics that are most indicative of application degradation. By selectively monitoring only the most relevant parameters rather than all possible performance metrics, the system maintains high detection accuracy while reducing system complexity and resource requirements.
Solution Approach 2:
The system applies different monitoring intensities and methods to different access paths based on their specific characteristics and importance to application performance. This localized approach to performance monitoring ensures accurate detection of degradations in critical paths while reducing the overall system complexity by not applying uniform comprehensive monitoring to all access paths.
Data Source
AI summary
Systems, computer program products, and methods are described herein for determining application degradation using advanced computational models for data analysis and automated decision-making. The present disclosure is configured to receive one or more applications, wherein the one or more applications comprise one or more access paths; update the one or more access paths, wherein updating the one or more access paths comprises reconfiguring details associated with the access paths; create, in response to updating the one or more access paths, updated access paths; determine that the one or more updated access paths experience one or more application degradations; and implement one or more degradation solutions for the one or more application degradations to an artificial intelligence model.