Arquitetura Limpa em Microsserviços
Explore como os princípios da Arquitetura Limpa podem ser aplicados em microsserviços individuais para manter a consistência interna e a autonomia.
Arquitetura Limpa em Microsserviços é uma aula grátis de Clean Architecture & Design Patterns in Practice no CoddyKit. Esta é a aula 3 de 4. Você pode ler a aula completa abaixo gratuitamente — depois pratica ao vivo no navegador com um editor de código integrado e um tutor de IA 24/7. Faz parte do caminho de aprendizado de Clean Architecture & Design Patterns in Practice, e seu progresso é sincronizado entre a web e o app CoddyKit. O curso de Clean Architecture & Design Patterns in Practice inclui 4 aulas no total.
Partes desta aula ainda não foram traduzidas e aparecem em inglês.
Microservices Meet Clean Arch
Welcome! In this lesson, we'll explore how the powerful principles of Clean Architecture can be applied within individual microservices.
Microservices are small, independent services that communicate with each other. Combining them with Clean Architecture helps each service stay robust, maintainable, and truly autonomous.
Bounded Contexts & Microservices
A key concept in microservices is the Bounded Context. This means each service defines its own domain model and terminology, separate from others.
- A microservice naturally forms a bounded context.
- Clean Architecture provides a structured way to manage the internal complexity of this context.
- It keeps the core business rules of the microservice isolated.
CA Inside a Microservice
Think of each microservice as having its own miniature Clean Architecture structure. The concentric circles apply internally:
- Entities: Core business objects (e.g.,
User,Product). - Use Cases: Application-specific rules (e.g.,
CreateUser,PlaceOrder). - Interface Adapters: How the microservice interacts with the outside world (e.g., REST controllers, message queues) and its own data store (e.g., repositories).
- Frameworks & Drivers: External tools and technologies used (e.g., Spring Boot, database drivers).
Microservice Communication Layers
For other services or clients to interact with a microservice, they typically do so through its Interface Adapters layer.
This means a microservice exposes its functionality via:
- REST API endpoints (e.g., a
UserController). - Message queue consumers (e.g., processing an event).
- GraphQL endpoints.
These adapters translate external requests into calls to the microservice's internal Use Cases.
Data Ownership in Microservices
A fundamental principle of microservices is that each service owns its data. This means:
- No shared databases between services.
- The data persistence mechanism is an internal detail of the microservice.
Clean Architecture's Repository Pattern fits perfectly here, abstracting the actual database implementation from the core Use Cases.
Dependency Rule: Microservice Edition
The Dependency Rule is crucial: inner circles must not depend on outer circles. This holds true within a microservice.
- Your core
EntitiesandUse Casesshould know nothing about your web framework or database. - This keeps your business logic truly independent and testable.
- It allows you to swap out frameworks or databases without affecting the core.
Defining Core Contracts
Let's look at a simple example for a 'User' microservice. Here, we define the core User entity and the interfaces for our UserRepository and CreateUserUseCase.
class User {
private String id;
private String name;
private String email;
public User(String id, String name, String email) {
this.id = id;
this.name = name;
this.email = email;
}
public String getId() { return id; }
public String getName() { return name; }
public String getEmail() { return email; }
}
interface UserRepository {
User save(User user);
User findById(String id);
}
interface CreateUserUseCase {
User createUser(String name, String email);
}Implementing Core Logic
Now, we implement the CreateUserUseCase, called an Interactor. It takes a UserRepository (an outer layer interface) as a dependency, adhering to the Dependency Rule.
Run this code to see how the core logic can be tested independently!
import java.util.UUID;
import java.util.HashMap;
import java.util.Map;
class User {
private String id;
private String name;
private String email;
public User(String id, String name, String email) {
this.id = id;
this.name = name;
this.email = email;
}
public String getId() { return id; }
public String getName() { return name; }
public String getEmail() { return email; }
}
interface UserRepository {
User save(User user);
User findById(String id);
}
interface CreateUserUseCase {
User createUser(String name, String email);
}
class InMemoryUserRepository implements UserRepository {
private final Map<String, User> users = new HashMap<>();
@Override
public User save(User user) {
users.put(user.getId(), user);
return user;
}
@Override
public User findById(String id) {
return users.get(id);
}
}
class CreateUserInteractor implements CreateUserUseCase {
private final UserRepository userRepository;
public CreateUserInteractor(UserRepository userRepository) {
this.userRepository = userRepository;
}
@Override
public User createUser(String name, String email) {
String id = UUID.randomUUID().toString();
User newUser = new User(id, name, email);
return userRepository.save(newUser);
}
}
public class Main {
public static void main(String[] args) {
// This simulates the wiring and interaction in a microservice
UserRepository repo = new InMemoryUserRepository();
CreateUserUseCase useCase = new CreateUserInteractor(repo);
User user1 = useCase.createUser("Alice", "alice@example.com");
System.out.println("Created User: " + user1.getName());
User foundUser = repo.findById(user1.getId());
System.out.println("Found User Email: " + foundUser.getEmail());
}
}The API Adapter Role
In a real microservice, a UserController (part of the Interface Adapters layer) would receive an HTTP request, map it to a DTO, call the CreateUserUseCase, and then return an HTTP response.
This controller depends on the Use Case, but the Use Case doesn't depend on the controller.
Why This Approach Works
Applying Clean Architecture to microservices offers significant benefits:
- High Cohesion: Each microservice's core logic is tightly focused.
- Loose Coupling: Core logic is decoupled from frameworks, databases, and even other services.
- Independent Deployment: Changes to the UI or database don't affect core business rules.
- Enhanced Testability: Business logic can be unit-tested without needing a database or web server.
- Maintainability: Easier to understand, modify, and extend over time.
Check Your Understanding
Why is applying Clean Architecture principles within individual microservices particularly beneficial?
Microservices & CA: Summary
In this lesson, we've seen how Clean Architecture provides a robust internal structure for individual microservices. By adhering to the Dependency Rule and separating concerns into layers, each microservice becomes:
- Highly autonomous
- Easily testable
- Flexible and maintainable
This combination ensures that your microservice ecosystem remains agile and resilient.
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Explore como os princípios da Arquitetura Limpa podem ser aplicados em microsserviços individuais para manter a consistência interna e a autonomia. Você pratica Clean Architecture & Design Patterns in Practice com código prático que executa diretamente no navegador, e um tutor de IA 24/7 responde suas dúvidas enquanto trabalha na aula.
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Nenhuma experiência prévia é necessária. Clean Architecture & Design Patterns in Practice no CoddyKit é estruturado para alunos iniciantes até avançados, então você pode começar aqui ou desde o início e aprender no seu ritmo. Esta é a aula 3 de 4.
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Todas as aulas deste curso
- Lidando com Questões Transversais
- Arquitetura Limpa Orientada a Eventos
- Arquitetura Limpa em Microsserviços
- CQRS na Arquitetura Limpa