Automated Legacy Application Deployment for Distributed Cloud Compatibility
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Solution Overview
Problem
Legacy software applications often fail to perform properly in cloud computing environments due to incompatibilities, necessitating a need for systems and methods to analyze, modify, and deploy them effectively in distributed computing systems.
Innovation Solution
A software deployment system that analyzes applications, determines suitability, and automatically modifies them for deployment in distributed computing systems, using machine classifiers to generate scores and recommend deployment strategies, including rehosting, re-platforming, refactoring, and re-architecting, and deploys them in dynamically scalable environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If legacy software applications are deployed to cloud computing environments without modification, then deployment cost and time are reduced, but application performance and reliability deteriorate due to incompatibilities
Solution Approach 1:
The system performs preliminary analysis of the legacy application against cloud computing requirements before deployment. It identifies incompatibilities and generates modification recommendations in advance, allowing the application to be prepared and optimized before actual deployment to the cloud environment.
Solution Approach 2:
The patent introduces a software deployment system as an intermediary between legacy applications and cloud computing environments. This intermediary system analyzes applications, generates modification recommendations, and facilitates the transition process, mediating between the legacy system and the new cloud environment to ensure compatibility.
2Reliability
If legacy software applications are modified for cloud deployment, then application compatibility and reliability improve, but deployment complexity and time increase
Solution Approach 1:
The system enables self-service deployment by automatically analyzing legacy applications, generating modification recommendations, and facilitating the deployment process without requiring extensive manual intervention. The deployment system handles the complexity automatically, allowing users to simply upload their applications for analysis and deployment.
Solution Approach 2:
The system changes key parameters of the deployment process by automating analysis, generating structured modification recommendations, and managing the deployment workflow. It transforms the complex manual process into an automated parameter-driven process that handles compatibility issues systematically.
3Reliability
If manual analysis and modification of software applications is performed, then deployment suitability is improved, but labor cost and time consumption increase
Solution Approach 1:
The patent replaces manual mechanical analysis with an automated computer-based system. The deployment system automatically analyzes application code, generates modification recommendations, and manages the deployment process, substituting human labor with automated computational processes that are both faster and more consistent.
Solution Approach 2:
The automated deployment system serves as an intermediary that handles the time-consuming tasks of application analysis and modification coordination. It mediates between the developer and the deployment process, automatically generating suitability assessments and modification recommendations without requiring manual review.
4Adaptability or versatility
If comprehensive modification of software applications is performed, then application suitability for distributed computing is improved, but modification complexity and risk increase
Solution Approach 1:
The system segments the modification process into distinct phases: analysis phase, recommendation generation phase, and deployment phase. It divides the complex task of making applications suitable for distributed computing into manageable segments, each handled by specific automated processes that reduce overall complexity.
Solution Approach 2:
The deployment system acts as an intermediary that manages modification complexity by systematically generating and validating modification recommendations. It mediates between the legacy application and cloud requirements, breaking down complex adaptability needs into structured modification steps that can be applied systematically.
Data Source
AI summary
Systems and methods in accordance with embodiments of the present disclosure can analyze a variety of software applications, modify the software applications, and/or automatically deploy the software applications to a distributed computing system. Distributed computing systems can provide software applications in a scalable, low cost manner that can be dynamically scaled to demand. Software deployment systems in accordance with embodiments of the present disclosure can automatically process software applications to determine the suitability of the software application to be deployed to a distributed computing system and/or modify the software application for deployment. A variety of machine classifiers can be used to score various aspects of a software application to identify portions of the application for modification and/or suitability for deployment.