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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

Sending events

Event-driven structures are based on the fire-and-forget principle. Instead of sending data and waiting until the other part returns a response, it just sends data and continues executing.

This makes it different from the request-response architecture that we saw in the previous chapter. A request-response process will wait until an appropriate response is generated. Meanwhile, the execution of more code will stop, as the new data produced by the external system is required to continue.

In an event-driven system, there's no response data, at least not in the same sense. Instead, an event containing the request will be sent, and the task will just continue. Some minimal information could be returned to ensure that the event can be tracked later.

Event-driven systems can be implemented with request-response servers. This doesn't make them a pure request-response system. For example, a RESTful API that creates an event and returns an event...

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