🧪️ Configuration Is Scattered
✅ Problem Overview
When an application grows, configuration and dependency initialization often become scattered, duplicated, or inconsistent.
Manually wiring values in multiple places leads to tight coupling and reduced flexibility.
Common issues include:
- Initialization logic is duplicated and difficult to manage
- Inconsistent configuration handling across modules
- Hard to switch environments between test/staging/production
✅ Solution Overview
Use the Factory pattern to centralize configuration creation,
and the Singleton pattern to ensure consistent reuse of that configuration across the system.
| Concern | Applied Pattern |
|---|---|
| Centralized configuration init | Factory |
| Shared access to instances | Singleton |
✅ Pattern Synergy
| Role | Example Implementation |
|---|---|
| Configuration source | ConfigFactory (initializer) |
| Shared instance | AppConfig (singleton) |
| Consumers | ServiceA, ServiceB |
Factorycreates a single, consistent configuration structureSingletonensures shared access and avoids redundant instantiation
✅ UML Class Diagram
✅ Explanation
This design separates configuration concerns from usage:
ConfigFactoryencapsulates how configuration is created and loaded (Factory)AppConfigis created once and shared system-wide (Singleton)- Services depend only on the
AppConfiginterface, not the creation logic
This enables clean initialization and easier testing or replacement.
✅ Practical Notes
- ✅ Environment switching (dev/staging/prod) becomes easier
- ✅ Configuration can be mocked or overridden in test contexts
- ✅ Also applicable to shared resources like DB connections or auth providers
Examples:
- Wrapping
.envloading into a singleAppConfigclass - Injecting mock
ConfigFactoryin unit tests - Managing shared configuration for internal libraries and services
✅ Summary
- Use
Factoryto centralize configuration creation logic - Use
Singletonto maintain a consistent, shared config instance - Greatly improves clarity and maintainability of application setup
- Enables safe, flexible environment switching and testability
This design provides a robust foundation for scalable and reliable configuration management.