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Clean Architecture with Python

You're reading from   Clean Architecture with Python Implement scalable and maintainable applications using proven architectural principles

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Product type Paperback
Published in Jun 2025
Publisher Packt
ISBN-13 9781836642893
Length 362 pages
Edition 1st Edition
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Author (1):
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Sam Keen Sam Keen
Author Profile Icon Sam Keen
Sam Keen
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Table of Contents (18) Chapters Close

Preface 1. Part 1: Foundations of Clean Architecture in Python
2. Clean Architecture Essentials: Transforming Python Development FREE CHAPTER 3. SOLID Foundations: Building Robust Python Applications 4. Type-Enhanced Python: Strengthening Clean Architecture 5. Part 2: Implementing Clean Architecture in Python
6. Domain-Driven Design: Crafting the Core Business Logic 7. The Application Layer: Orchestrating Use Cases 8. The Interface Adapters Layer: Controllers and Presenters 9. The Frameworks and Drivers Layer: External Interfaces 10. Implementing Test Patterns with Clean Architecture 11. Part 3: Applying Clean Architecture in Python
12. Adding Web UI: Clean Architecture’s Interface Flexibility 13. Implementing Observability: Monitoring and Verification 14. Legacy to Clean: Refactoring Python for Maintainability 15. Your Clean Architecture Journey: Next Steps 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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