Transitioning CareCode HIMS from a Monolithic Architecture to Mini‐Services - hmislk/hmis GitHub Wiki
Introduction
CareCode HIMS has been operating as a monolithic system, where all functionalities are tightly integrated into a single application. While this approach has served well in the past, the increasing complexity and demand for scalability, maintainability, and interoperability necessitate a transition to a more modular architecture. This document outlines the transition plan from a monolithic architecture to a mini-services approach, setting the foundation for a potential microservices evolution in the future.
Current Challenges with Monolithic Architecture
- Scalability Issues – The entire application must be scaled together, even if only certain components require higher resources.
- Development Bottlenecks – Changes in one module can impact the entire system, leading to lengthy testing and deployment cycles.
- Limited Maintainability – As the system grows, maintaining and debugging a single large codebase becomes increasingly difficult.
- Technology Constraints – A monolithic structure restricts flexibility in adopting new technologies for different components.
- Interoperability Limitations – External integrations require modifications to the entire system, making interoperability cumbersome.
Planned Transition to Mini-Services
What is a Mini-Services Architecture?
Mini-services lie between a monolithic and a fully microservices architecture. They break down the system into logically grouped, loosely coupled services while still allowing shared database access and simplified deployment compared to microservices.
Objectives of the Transition
- Improve modularity and maintainability.
- Enable independent development and testing of different modules.
- Enhance scalability without unnecessary system-wide changes.
- Allow smoother integration with external applications.
- Prepare the system for a potential future shift to microservices.
Key Steps in the Transition
- Domain Decomposition – Identifying core functional domains in CareCode HIMS, such as Patient Management, Billing, Laboratory, Pharmacy, Appointments, and Reports.
- Modularization of Codebase – Restructuring the existing monolithic code into separate modules, ensuring each has a well-defined boundary.
- API-Driven Communication – Introducing RESTful APIs for inter-module communication instead of direct function calls.
- Database Partitioning Strategy – Gradual separation of the database into logically grouped tables per module while maintaining referential integrity.
- Incremental Deployment Strategy – Deploying mini-services in stages, ensuring stability and minimal disruption.
- Orchestration and Service Management – Implementing an API Gateway and service discovery mechanism to manage communication between mini-services.
Expected Benefits
- Scalability – Modules can be scaled independently as needed.
- Faster Development Cycles – Teams can work on different modules without affecting the entire system.
- Better Maintainability – Simplified debugging and updates within each module.
- Enhanced Interoperability – Easier integration with external systems using standard APIs.
- Gradual Transition to Microservices – If needed in the future, modules can be further split into microservices with minimal effort.
Future Roadmap
While the initial transition focuses on mini-services, the roadmap includes:
- Full API Standardization – Ensuring all services communicate using well-defined, versioned APIs.
- Further Database Decoupling – Moving from shared databases to dedicated databases for critical services like Billing and Pharmacy.
- Containerization and Orchestration – Introducing Docker and Kubernetes for efficient deployment and scaling.
- Microservices Evolution – If necessary, breaking down mini-services into finer-grained microservices over time.
Conclusion
Transitioning from a monolithic to a mini-services architecture is a strategic move that balances ease of transition and long-term scalability. This approach allows CareCode HIMS to modernize its infrastructure while maintaining system stability and reducing complexity. Future iterations may explore a full microservices implementation based on evolving requirements.