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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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Toc

Table of Contents (23) Chapters Close

Preface 1. Introduction to Software Architecture FREE CHAPTER 2. Part I: Design
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

Subdividing tasks

It's entirely possible to generate more tasks from an initial one. This is done by creating the right event inside a task and sending it to the right queue.

This allows a single task to distribute its load and parallelize its action. For example, if a task generates a report and sends it by email to a group of recipients, the task can first generate the report and then send the emails in parallel by creating new tasks that will focus only on creating the emails and attaching the report.

This spreads the load over multiple workers, speeding up the process. Another advantage is that individual tasks will be shorter, which makes them easier to control, monitor, and operate.

Some task managers may permit the creation of workflows where tasks are distributed, and their results are returned and combined. This can be used in some cases, but in practice it is less useful than it initially appears, as it introduces extra waiting and we can end up...

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