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Clean Architecture with Python

Clean Architecture with Python

By : Sam Keen
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Clean Architecture with Python

Clean Architecture with Python

5 (1)
By: Sam Keen

Overview of this book

In the rapidly evolving tech industry, software applications struggle to keep pace with changing business needs, leaving developers grappling with complex codebases that resist change, ultimately reducing productivity and increasing technical debt. Clean Architecture with Python offers a powerful approach to address these challenges. Drawing from his extensive experience architecting cloud-native systems, Sam Keen helps you transform complex architectural challenges into digestible, implementable solutions. This book teaches essential principles for effective development, emphasizing the Pythonic implementation of Clean Architecture. Through practical examples, you'll learn how to create modular, loosely coupled systems that are easy to understand, modify, and extend. The book covers key concepts such as the Dependency Rule, separation of concerns, and domain modeling, all tailored for Python development. By the end of this book, you'll be able to apply Clean Architecture principles effectively in your Python projects. Whether you're building new systems or managing existing ones, you'll have the skills to create more maintainable and adaptable applications. This approach will enhance your ability to respond to changing requirements, setting you up for long-term success in your development career.
Table of Contents (18 chapters)
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Part 1: Foundations of Clean Architecture in Python
5
Part 2: Implementing Clean Architecture in Python
11
Part 3: Applying Clean Architecture in Python
16
Other Books You May Enjoy
17
Index

Implementing cross-boundary instrumentation

Let’s translate our understanding of Clean Architecture’s observability benefits into practical implementation. Modern web frameworks such as Flask provide their own logging infrastructure, which can tempt developers into tightly coupling business operations with framework-specific logging. We’ll see how to work effectively with these framework mechanisms while keeping our core business logic framework-independent. Through a careful implementation of structured logging and request tracing, we’ll demonstrate patterns that maintain Clean Architecture’s boundaries while delivering comprehensive system observability.

Avoiding framework coupling in logging

As we mentioned, web frameworks often provide their own logging infrastructure. Flask, for instance, encourages direct use of its application logger (app.logger):

@app.route('/tasks/new', methods=['POST'])
def create_task()...
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Clean Architecture with Python
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