Automated Application Migration via Macro-Service Refactoring
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Solution Overview
Problem
Existing methods for migrating applications from older to newer environments are time-consuming, labor-intensive, and often result in loss of logic or increased complexity, especially when moving to cloud platforms, due to the need for manual intervention and inadequate automation.
Innovation Solution
A system and method for automated application environment migration using a processor-based approach that assesses, re-factors, and re-platforms application code, utilizing AI for identifying macro-services, continuous integration and deployment frameworks, and security rule implementation to migrate applications with minimal manual input, ensuring business logic preservation and cost reduction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If applications are migrated by completely reproducing the application in accordance with the newer environment, then the application can be adapted to the new environment, but the migration process becomes time-consuming and labor-intensive
Solution Approach 1:
The patent uses automated code generation to create copies of application code that are adapted to the target environment. The system generates migration scripts and refactored code automatically, rather than manually reproducing applications, thus reducing migration time while ensuring proper adaptation to the newer environment
Solution Approach 2:
The system performs preliminary assessment and analysis of the source application before migration. It evaluates the application architecture, identifies dependencies, and prepares migration plans in advance, which streamlines the actual migration process and reduces the time required for execution
2Reliability
If manual migration processes are used to ensure logic preservation, then logic accuracy can be maintained, but the migration process becomes complex and requires significant manual intervention
Solution Approach 1:
The migration system performs self-assessment and self-correction during the migration process. It automatically evaluates the source application, identifies potential logic issues, and applies appropriate transformation rules without requiring constant manual verification, thus maintaining logic accuracy while reducing process complexity
Solution Approach 2:
The system incorporates automated testing and validation mechanisms that provide feedback during migration. It verifies that business logic is preserved through automated test cases and comparison algorithms, ensuring reliability while reducing the need for complex manual verification processes
3Productivity
If automated migration tools are used to reduce manual effort, then migration speed increases, but the ability to handle complex application logic and maintain quality standards decreases
Solution Approach 1:
The patent replaces manual mechanical processes with automated intelligent systems. It uses AI-based code analysis, automated refactoring tools, and intelligent mapping algorithms to handle complex application logic, thereby maintaining high migration quality standards while achieving rapid automated migration
Solution Approach 2:
The system dynamically adjusts migration parameters and transformation rules based on the specific characteristics of the source application. It modifies migration strategies, code generation templates, and testing parameters automatically, enabling high-speed automated migration while maintaining quality standards through adaptive parameter optimization
4Loss of energy
If cloud migration is pursued to reduce costs and improve scalability, then total cost of ownership decreases, but the complexity of migrating existing applications to cloud platforms increases
Solution Approach 1:
The migration system provides universal functionality that handles multiple migration scenarios and target cloud platforms through a single unified toolset. It supports various cloud environments (AWS, Azure, GCP) and application types with consistent automated processes, reducing the complexity associated with cloud migration while achieving cost savings
Data Source
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AI summary
A method of application environment migration assesses a source application code of a source application environment, ascertains a quantum change for migrating the source application code to a target application code and forecasts an assessment statistic (302) that provides at least one functional readiness (304) and a timeline (306) to complete the migration of the source application code. Further, scans the source application code for identifying a business logic and generates a re-factored code for the source application code by breaking the source application code into macro-services (426a, .., 426n) and repackaging the macro-services (426a, .., 426n) in accordance with the target application code while retaining the business logic. Thereby, updating components of the source application environment as per the forecasted assessment statistic (302) and the re-factored code, and migrating to the target application environment while re-platforming the updated components and the re-factored code of the source application environment.