Automatic Application Dependency Management for Software Configurations
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Solution Overview
Problem
Managing complex software systems with multiple components is impractical due to the vast number of possible combinations, leading to challenges in testing and maintaining valid configurations, resulting in downtime and inefficiencies.
Innovation Solution
An automatic application dependency management system that maintains a database of deployed and attempted configurations, searches for working configurations that resemble failed ones, ranks them based on criteria, and automatically selects and upgrades components to create a working configuration, reducing downtime by preemptively reviewing proposed changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual testing and management of software configurations is performed, then configuration accuracy can be maintained, but time consumption and labor resources increase significantly
Solution Approach 1:
The system performs preliminary actions by automatically testing configuration combinations before full deployment, using predictive algorithms to identify potential issues in advance. This allows the system to prepare validated configurations proactively, reducing both time consumption and manual intervention while maintaining configuration accuracy.
2Adaptability or versatility
If the number of component combinations is increased to improve system versatility, then system adaptability improves, but the complexity of testing and management increases
Solution Approach 1:
The system segments the complex configuration management task into manageable components by automatically dividing the testing process into modular steps. Each configuration combination is tested independently through automated scripts, and results are organized in structured formats. This segmentation reduces management complexity while preserving system versatility by enabling comprehensive testing of multiple component combinations.
3Reliability
If comprehensive testing of all configuration combinations is performed, then configuration reliability improves, but productivity decreases due to extensive testing requirements
Solution Approach 1:
The system applies partial action by selectively testing only the most critical and frequently used configuration combinations rather than exhaustively testing every possible combination. The automated testing framework prioritizes high-impact configurations based on usage patterns and system importance, achieving sufficient reliability for production deployment without the productivity loss associated with complete exhaustive testing.
Data Source
AI summary
A database of deployed configurations, as well as attempted configurations that failed is maintained and used as reference to compare against configurations of attempted software deployments. Upon detecting a failed deployment, disclosed embodiments search the database for working configurations that most closely resemble the failed configuration, and rank the configurations based on various criteria. Disclosed embodiments may then automatically select a highest ranked working configuration, and perform an automatic upgrade of the necessary components to create a working configuration.