Building a Clean & Scalable Golang Architecture: Valuetree Case Study
Table of Contents
Golang has rapidly become one of the most reliable choices for building high-performance backend systems.
In the pursuit of scalability, maintainability, and testability, architecture becomes one of the most important foundations.
The Valuetree project demonstrates a clean and well-structured implementation of Clean Architecture with modular principles, making it an excellent reference for modern Go applications.
๐๏ธ Project Structure Overview
Valuetree uses a modular monolith structure:
valuetree/
โโโ config/
โโโ internal/
โ โโโ domain/
โ โโโ handler/
โ โโโ model/
โ โโโ repository/
โ โโโ usecase/
โ โโโ pkg/
โ โโโ user/
โโโ pkg/
โโโ go.mod
This ensures clean architectural dependencies:
Handler โ Usecase โ Repository โ Domain/Model
๐งฉ Architecture Layers (Clean Architecture)
1. Domain Layer (internal/domain)
The core of the system, containing:
- Entities
- Business rules
- Repository interfaces
It remains fully independent of frameworks or external systems.
type UserRepository interface {
Create(ctx context.Context, u *User) error
FindByID(ctx context.Context, id string) (*User, error)
}
2. Model Layer (internal/model)
Defines:
- DTOs
- Database models
- API request/response schemas
This prevents internal domain structures from leaking to external layers.
3. Repository Layer (internal/repository)
Responsible for implementing the data access logic.
Because the domain depends only on interfaces, storage engines can be swapped easily (PostgreSQL โ MongoDB, etc).
4. Usecase Layer (internal/usecase)
Contains application-specific business logic, such as:
- User registration flow
- Transaction processing
- Coordination across repositories
This layer is framework-agnostic and highly testable.
5. Handler Layer (internal/handler)
Responsible for:
- HTTP routing
- Parsing requests
- Calling Usecases
- Returning responses
Handlers stay thin and contain zero business logic.
๐ค Domain Example: internal/user
This domain contains:
user_handler.gouser_service.gouser_repository.gouser_model.go- Unit tests
This self-contained structure makes it easy to extend and even migrate to a microservice in the future.
๐ ๏ธ Dependency Injection & Configuration
The config/ directory handles:
- App configuration
- Database initialization
- Wiring of repository โ usecase โ handler
This ensures consistent environment setup across development, staging, and production.
๐งช Testing Strategy
Tests included:
handler/user_handler_test.go
user/user_service_test.go
These cover:
- Usecase logic (mocked dependencies)
- Handler behavior (mock usecases)
- Optional repository integration tests
Aligned with Clean Architecture best practices:
Test business rules โ test boundaries โ test adapters
๐ Secure Transaction Flow
Key elements:
- Authentication steps
- Authorization checks
- Input validation
- Logging and auditing
- Layered error handling
This ensures the system stays secure, traceable, and abuse-resistant.
๐ Why This Architecture Works
โ Scalable
Easy to add new domains.
โ Testable
Usecases are independent and highly testable.
โ Maintainable
Clear folder boundaries reduce cognitive load.
โ Flexible
Frameworks, storage, or logging can be replaced with minimal effort.
โ Future-proof
Designed for modular monolith โ microservice migration.