Clean Architecture & DDD Mastery

Error Handling: Result patterns vs Exceptions

1 Views Updated 5/4/2026

The Failure Path

How you handle failures deeply affects the readability and maintainability of your architectural layers.

1. Exceptions for Exceptional Cases

In standard .NET, we throw exceptions (e.g., NotFoundException). In the Presentation layer, we use a **Global Exception Handler** to catch these and map them to HTTP 404/400. This is easy, but it makes the 'Failure Path' invisible in the method signature.

2. The Result Pattern

Instead of throwing, methods return a Result<T> object that contains either the Value or an Error. This makes the possibility of failure explicit. var result = await service.DoWork(); if (result.IsFailure) return BadRequest(result.Error);. This is common in functional programming and leads to code that is much easier to reason about and test.

3. Architect Insight

Q: "Which one is better for Clean Architecture?"

Architect Answer: "Use the **Result Pattern** for business logic failures (e.g., 'Insufficient Funds'). This is a 'Domain' result. Use **Exceptions** only for truly unexpected technical failures (e.g., 'Database is Down'). This separation tells the reader exactly which errors are 'Business as usual' and which are 'Critical failures'."

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