Legacy Application Modernization via Containerized Copying
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Solution Overview
Problem
Enterprises face significant complexity and cost challenges in maintaining and upgrading legacy applications built on platforms like SAP, Oracle, and Salesforce, requiring extensive time and budget for redesign and rebuilding into modern applications.
Innovation Solution
An enterprise-grade platform using low-code/no-code techniques to convert legacy applications into modern, cloud-based applications by parsing source code, deriving pseudocode, and generating platform-agnostic programming instructions, allowing for deployment on various devices and form factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If legacy applications are redesigned and rebuilt into modern applications, then application modernization and functionality are improved, but time, effort and budget requirements increase enormously
Solution Approach 1:
The system creates a virtual copy of the legacy application in the form of a containerized image that encapsulates the application logic, dependencies, and configuration. This copy can be deployed and executed without modifying the original legacy code, enabling modernization while preserving the original functionality and avoiding the time-consuming process of complete redesign.
Solution Approach 2:
The system introduces an intermediary layer between the legacy application and the modern cloud environment. This intermediary consists of containerization technology and a translation layer that bridges the gap between legacy platforms (SAP, Oracle, Salesforce) and modern cloud architectures, enabling gradual migration and modernization without requiring complete replacement.
2Reliability
If legacy applications are maintained and upgraded, then operational functionality is preserved, but costs of operation and maintenance increase
Solution Approach 1:
The system creates a portable container image copy of the legacy application that can be deployed on modern cloud infrastructure. This copy maintains the same operational functionality as the original legacy application but runs on more efficient, cost-effective cloud platforms, thereby preserving reliability while reducing operational costs through resource optimization.
Solution Approach 2:
The system changes the execution parameters of the legacy application by containerizing it and deploying it on modern cloud infrastructure with optimized resource allocation. This transforms the operational characteristics of the application, enabling cost-efficient execution while maintaining functionality through parameter optimization rather than code modification.
3Adaptability or versatility
If legacy applications are converted to platform-agnostic applications, then deployment flexibility is improved, but conversion complexity increases
Solution Approach 1:
The system creates a self-contained container image copy of the legacy application that encapsulates all platform-specific dependencies and configurations. This copy can then be deployed on any platform without modification, achieving platform-agnosticity through copying rather than conversion, thereby reducing conversion complexity while maintaining deployment flexibility.
Solution Approach 2:
The system segments the legacy application into discrete, independent components within the container image, separating the application logic from platform-specific dependencies. This segmentation enables the application to be deployed on different platforms without requiring complex conversion, as each component remains intact and can be executed independently on the target platform.
Data Source
AI summary
Methods and supporting systems are disclosed herein that when applied to enterprise applications built on various enterprise application development platforms are translated from the high-level platform-specific language into applications programmed using low-code objects that are deployable as edge-ready, cloud-based applications.