Software Component Deployment with Versioning and Dependency Checks
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Solution Overview
Problem
In large software environments, modifying a single application module requires redeploying the entire module, making it time-consuming and difficult to analyze runtime problems due to incompatibility issues, and dependencies between modules and libraries are not efficiently managed, complicating deployment and compatibility checks.
Innovation Solution
A method that extracts metadata independently of the file system, verifies component compatibility, and deploys software components by checking platform versions and dependencies, allowing for efficient deployment and error reduction, including the option to force deploy or skip components as needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the entire module is redeployed when a modification is made, then the system ensures complete updates, but the deployment time and resource consumption increase significantly
Solution Approach 1:
The patent segments the module into smaller units called components, each with its own version information and dependency declarations. This allows selective deployment of only the modified component rather than the entire module, reducing deployment time while maintaining update completeness through proper version management and dependency resolution.
2Manufacturing precision
If module-by-module deployment is implemented, then deployment precision is improved, but the system complexity and dependency management difficulty increase
Solution Approach 1:
The patent performs preliminary actions by declaring dependencies between components and modules before deployment. The deployment service processes these dependency declarations in advance to determine the correct deployment sequence and resolve conflicts, thereby managing complexity systematically while maintaining precise deployment control.
3Reliability
If comprehensive dependency checking is performed, then compatibility reliability is improved, but the deployment process time increases
Solution Approach 1:
The patent implements feedback mechanisms where the deployment service continuously checks compatibility between components and the runtime environment using version information and dependency declarations. This feedback loop ensures compatibility reliability by validating dependencies before deployment while optimizing the process through efficient checking strategies that don't excessively delay deployment.
Data Source
AI summary
A method and system to deploy a software archive on a runtime environment. The method extracts metadata from the archive and verifies the components can be deployed and further deploys them on the runtime environment.