architecture-paradigm-layered
FeaturedApplies layered n-tier architecture with enforced boundaries. Use when designing moderate systems needing clear presentation, domain, and persistence layers.
AI & Automation 339 stars
35 forks Updated 2 days ago MIT
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# The Layered (N-Tier) Architecture Paradigm
## When to Employ This Paradigm
- When teams need clear architectural boundaries and a familiar structure for moderate-sized systems.
- When compliance or operations teams require clear separation of concerns (e.g., UI vs. domain logic vs. persistence).
- When the deployment artifact remains a monolith, but code clarity and separation are degrading.
## When NOT To Use This Paradigm
- When high scalability demands require independent scaling of components
- When multiple teams need independent deployment cycles
- When complex business logic requires frequent cross-layer communication
- When microservices architecture is already planned or in place
- When real-time processing requirements make layered communication too slow
## Adoption Steps
1. **Define the Layers**: Establish a clear set of layers. A common stack includes: Presentation -> Application/Service -> Domain -> Data Access.
2. **Enforce Dependency Direction**: Code in a given layer may only depend on the layer immediately below it. Forbid any "upward" dependencies or imports.
3. **Centralize Cross-Cutting Concerns**: Implement concerns like logging, authentication, and validation as centralized middleware or policies, rather than duplicating this logic in each layer.
4. **Test Each Layer Appropriately**: Apply testing strategies suitable for each layer, such as unit tests for the domain layer, service-layer tests for orchestration logic, and integration tests for persis...
Details
- Author
- athola
- Repository
- athola/claude-night-market
- Created
- 10 months ago
- Last Updated
- 2 days ago
- Language
- Python
- License
- MIT
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