architecture-patterns

To structure a Python backend using Clean Architecture and Domain-Driven Design, organize code into distinct layers like Entities, Use Cases, Interface Adapters, and Infrastructure with strict dependency rules for separation of concerns.

The best way to decouple domain logic from external concerns in a backend application is applying Hexagonal Architecture, which uses Ports and Adapters to isolate the core domain and ensure maintainable, testable code.

You need Domain-Driven Design for complex system design when modeling intricate business domains, utilizing concepts like Bounded Contexts, Entities, Value Objects, and Aggregates to ensure effective domain modeling and scalable applications.

Yes, you can use Hexagonal Architecture when refactoring a monolithic application to microservices to enforce clear separation of concerns, decouple core logic via Ports and Adapters, and make future development more efficient.

Limitations of enforcing strict dependency rules in software design include potential architectural overhead and initial complexity, requiring careful modeling of entities, use cases, repositories, and adapters to ensure maintainability without excessive abstraction.