StackEdge: Software & Architecture Insights

This post explores microservices architecture in depth, discussing its benefits, challenges, and best practices for implementing it.

Handling multiple bounded contexts in Python can be achieved using domain events to communicate between contexts, ensuring loose coupling and clear boundaries.

The Clean Architecture pattern in Python promotes separation of concerns, resulting in a more maintainable and testable codebase.

A practical example illustrating the Clean Architecture pattern in Python.

The Singleton Design Pattern in Python ensures that only one instance of a class exists throughout the application.

The `__slots__` mechanism in Python allows you to explicitly declare data members for your classes, leading to significant memory savings, especially in large applications with many instances of user-defined classes.

Understanding private and protected attributes in Python is important for maintaining encapsulation and controlling access to class internals.

The Global Object Pattern in Python allows you to define global variables that can be accessed from anywhere in the application, creating singletons or constants shared across different modules.