Model Driven Microservices Development System
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Solution Overview
Problem
Conventional systems for developing large-scale software applications are complex, time-consuming, and costly, with rigid legacy applications that struggle to incorporate modern technologies like IoT, cloud, and microservices, making it difficult to keep up with market trends and requiring significant maintenance.
Innovation Solution
A processor-implemented method and system that models microservices designs using component modelers, validates design consistency, generates codes, customizes them based on technologies, containerizes, and deploys applications, enabling efficient development and deployment of microservice applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional systems are used for developing large-scale software applications, then application functionality can be achieved, but the development process becomes complex and time-consuming
Solution Approach 1:
The patent uses model-driven architecture where application models serve as templates that can be copied and instantiated multiple times. The models capture the essential structure and behavior of applications, allowing rapid replication across different domains and technologies without recreating everything from scratch.
Solution Approach 2:
The system allows dynamic configuration of application parameters through model instantiation. By changing parameters such as technology stack, domain specifics, and deployment targets, the same base model can generate different applications, reducing development complexity while maintaining productivity.
2Adaptability or versatility
If legacy applications are maintained, then existing functionality is preserved, but maintenance costs increase and adaptability to new technologies decreases
Solution Approach 1:
The patent segments applications into reusable models and components that can be independently maintained and updated. This modular approach allows specific parts of legacy applications to be modernized without rewriting entire systems, reducing maintenance costs while improving adaptability to new technologies.
Solution Approach 2:
The model-driven approach enables dynamic adaptation of applications to new technologies. Models can be updated to incorporate new technological standards and requirements, allowing legacy applications to evolve continuously without complete reimplementation, thus reducing long-term maintenance costs.
3Adaptability or versatility
If microservices designs are implemented across multiple applications, then technology modernization is achieved, but development coordination becomes more challenging
Solution Approach 1:
The patent creates universal models that can be instantiated across multiple applications with different microservices designs. These models encapsulate common patterns and best practices for microservices development, enabling consistent implementation across diverse applications while simplifying coordination through standardized templates.
Solution Approach 2:
The model-driven architecture acts as an intermediary between development requirements and implementation details. Models serve as the mediating layer that translates high-level application requirements into coordinated microservices designs, reducing the complexity of direct coordination between multiple applications and their underlying services.
Data Source
AI summary
Conventional methods for application development are rigid, complex, costly and ineffective in implementing new and changing technologies. The embodiments herein provide a model driven system and method for development of micro service applications. A set of user interface components and one or more domain components for a plurality of micro services designs of a plurality of applications pertaining to one or more technologies are modeled and validated. Further, a plurality of codes are generated according to the one or more modeled domain components of the plurality of micro services designs of the plurality of applications satisfying one or more requirements. The plurality of generated codes are further customized and validated to ensure design and code consistency. The plurality of customized codes are further containerized to provide a plurality of containerized applications which are deployed into a target deployment environment for execution using a plurality of configuration files.