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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

More complex systems

More complex systems can be created where the events pass through multiple stages and are even designed for easy plugin systems working from the same queue.

This can create complicated setups where the data flows through complex pipelines and is processed by independent modules. These kinds of scenarios are typically seen on instrumentation that aims to analyze and process big quantities of data to try and detect patterns and behaviors.

Imagine, for example, a system that makes bookings for a travel agency. There are a lot of searches and bookings requests that happen in the system, with associated purchases such as car rentals, luggage bags, food, and so on. Each of the actions produces a regular response (search, book, purchase, and so on), but an event describing the action will be introduced into a queue to be processed in the background. Different modules will analyze user behavior with different objectives in mind.

For example, the following...

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