Clean Architecture & DDD Mastery

Clean Architecture: The 'Screaming' architecture

1 Views Updated 5/4/2026

Screaming Architecture

Coined by Uncle Bob Martin, Clean Architecture is a refinement of Onion Architecture that emphasizes that your folder structure should "Scream" what your application does.

1. Use Cases as the Primary Unit

In a standard ASP.NET app, your folders are Controllers, Models, Views. This tells you it's a web app, but it doesn't tell you what it DOES. In Clean Architecture, your folders are CreateOrder, CancelSubscription, RegisterUser. The architecture screams "Logistics App" or "Health System".

2. The Data Flow

Request -> Controller -> Interactor (Use Case) -> Entity -> Repository -> Database.
The Interactor is where the magic happens. It coordinates the business rules using entities and mocks the data access via interfaces. This makes it incredibly easy to Unit Test your entire business flow without a single database call.

3. Architect Insight

Q: "How many projects should I have in my Solution?"

Architect Answer: "The standard pattern is 4 projects:
1. **Domain:** Enterprise business rules (Entities).
2. **Application:** Service-oriented business rules (Use Cases).
3. **Infrastructure:** Data persistence and external APIs.
4. **WebUI/API:** The entry point.
Keep it simple. Don't create 20 projects 'just in case'."

Clean Architecture & DDD Mastery
1. Architectural Patterns
The Evolution of Architecture: Monolith to Clean Onion Architecture: Dependency Inversion at the core Clean Architecture: The 'Screaming' architecture Hexagonal Architecture (Ports and Adapters)
2. Domain-Driven Design (DDD) Foundations
Ubiquitous Language: Aligning code with business Entities vs Value Objects: Managing identity and state Aggregates & Aggregate Roots: Defining consistency boundaries Bounded Contexts: Handling complexity in large domains
3. Advanced DDD Patterns
Domain Services: When logic doesn't fit in an entity Domain Events: Decoupling side effects via events Repositories: Mediating between domain and data Unit of Work: Ensuring atomic transactions
4. Implementing the Clean Layers
The Domain Layer: Zero dependencies, pure C# The Application Layer: Orchestrating use cases The Infrastructure Layer: Bridging to the outside world The Presentation Layer: Decoupling the UI from logic
5. Patterns for Data & Logic
CQRS (Command Query Responsibility Segregation) MediatR: Implementing the Mediator pattern in .NET Specification Pattern: Encapsulating business rules Policy Pattern: Handling complex authorization rules
6. Enterprise Domain Challenges
Handling Persistence Ignorance with EF Core Mapping Layers: AutoMapper vs Manual Mapping Validation Strategies: FluentValidation in the App Layer Error Handling: Result patterns vs Exceptions
7. Testing Clean Architecture
Unit Testing the Domain: Fast and pure Testing Use Cases with Mocks Integration Testing the Infrastructure ArchUnit .NET: Enforcing architectural rules via tests
8. Real-World Case Study
Refactoring a 'Spaghetti' Monolith to Clean Architecture DDD in Action: Modeling a complex Logistics system