Automated Application Failure Recovery System
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Solution Overview
Problem
The conventional process of fixing failures in software applications is time-consuming due to manual identification and execution of solutions, which can be inefficient and prone to errors, especially when system changes occur.
Innovation Solution
A method and system for automatically selecting and executing solutions on a target application by identifying failure events, classifying them as labeled or unlabeled, and using a recovery database to apply appropriate solutions, with machine learning models aiding in classification and solution selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual identification and execution of solutions is used, then the application development team can resolve failure events, but the process consumes excessive time and is inefficient
Solution Approach 1:
The system enables self-service by automatically monitoring the application, identifying failure events, selecting appropriate solutions from the recovery database, and executing them without human intervention. The automated agent performs all these tasks independently, freeing the application development team from manual failure resolution work.
Solution Approach 2:
Solutions are pre-stored in a recovery database before failures occur. When a failure event is detected, the system quickly retrieves and executes the pre-prepared solution, eliminating the time needed for analysis and solution development during the failure event itself.
2Reliability
If manual monitoring and analysis is performed, then failure events can be detected and resolved, but the process is prone to errors and delays
Solution Approach 1:
The patent replaces the mechanical manual process of monitoring, analyzing, and resolving failures with an automated software agent that uses machine learning models and algorithms to detect failures and execute solutions, eliminating human error and speeding up the process.
Solution Approach 2:
The system continuously monitors the application and provides feedback on its state. When failures are detected, the automated agent executes solutions and monitors the results, creating a closed-loop feedback system that ensures reliable and timely failure resolution.
3Productivity
If the application development team manually handles each failure event, then solutions can be applied, but time is lost that could be invested in more critical issues
Solution Approach 1:
The automated monitoring and recovery system handles routine failure events independently, allowing the application development team to focus their manual efforts on more critical and complex issues that require human judgment and expertise.
Data Source
AI summary
A method for automatically selecting and executing solutions on a target application is disclosed. The method includes: identifying at least one failure event associated with the target application based on monitoring of the target application; classifying each of the identified failure events as one from among a labeled failure event and an unlabeled failure event; selecting a recovery solution for the labeled failure event from at least one recovery database; and automatically executing the selected recovery solution on the target application for the labeled failure event.