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Python Architecture Patterns

You're reading from   Python Architecture Patterns Master API design, event-driven structures, and package management in Python

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Product type Paperback
Published in Jan 2022
Publisher Packt
ISBN-13 9781801819992
Length 594 pages
Edition 1st Edition
Languages
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Author (1):
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Jaime Buelta Jaime Buelta
Author Profile Icon Jaime Buelta
Jaime Buelta
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Table of Contents (23) Chapters Close

Preface 1. Introduction to Software Architecture 2. Part I: Design FREE CHAPTER
3. API Design 4. Data Modeling 5. The Data Layer 6. Part II: Architectural Patterns
7. The Twelve-Factor App Methodology 8. Web Server Structures 9. Event-Driven Structures 10. Advanced Event-Driven Structures 11. Microservices vs Monolith 12. Part III: Implementation
13. Testing and TDD 14. Package Management 15. Part IV: Ongoing operations
16. Logging 17. Metrics 18. Profiling 19. Debugging 20. Ongoing Architecture 21. Other Books You May Enjoy
22. Index

Continuous Integration

Continuous Integration, or CI, is the practice of automating the running of tests when new code is submitted to a central repository. Whereas, when originally introduced back in 1991, it could be understood as running a "nightly build", as running the tests took time and was expensive, these days, it is commonly understood as running a set of tests with each new code submission.

The objective is to produce code that always works. After all, if it's not, it is detected quickly by the failing tests. This fast feedback loop helps developers to increase their speed and create a safety net that allows them to focus on whatever feature they are implementing and leave it to the CI system to run the totality of tests. The discipline of running the tests automatically and on every single test greatly helps to ensure high-quality code, as any error is detected quickly.

This is also dependent on the quality of the tests that are run, so in order...

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