Clean Architecture & DDD Mastery

The Application Layer: Orchestrating use cases

1 Views Updated 5/4/2026

The Orchestrator

The Application Layer sits around the Domain. It doesn't contain business logic itself; it coordinates the domain objects to satisfy a specific user requirement (a "Use Case").

1. Use Cases (Commands and Queries)

In modern .NET, we often use **MediatR** to define Use Cases. Each Request (e.g., CreateUserCommand) has a corresponding Handler. The handler is the 'traffic cop': it loads the aggregate, calls a domain method, publishes events, and tells the Unit of Work to save.

2. DTOs and Data Mapping

The Application layer defines **DTOs (Data Transfer Objects)**. It's dangerous to return your raw Domain Entities to the UI. Instead, the Application layer maps the Entity data into a DTO. This prevents "Leakage" where the UI accidentally depends on internal domain details, allowing you to change your domain without breaking your API contract.

3. Architect Insight

Q: "Where does cross-cutting logic like logging or security go?"

Architect Answer: "The Application layer is the perfect place for these. Using **Pipeline Behaviors** in MediatR, you can 'wrap' every use case in a logging transaction or a security check without cluttering the business logic. This keeps your handlers focused 100% on coordinating the use 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