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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

Streaming events

For some purposes, it can be good to just produce events that capture information and store it for later access. This structure is typical for instrumentation, for example, where we create an event every time there's an error. This event will contain information about things such as where the error was generated, debugging details to be able to understand it, and so on. The event is then sent, and the application continues recovering from the error.

The same can be done for specific parts of the code. For example, to capture an access time to a database, the timing and related data (like the specific query) can be captured and sent in an event.

All those events should be compiled into a location to allow them to be queried and aggregated.

While usually not thought of as event-driven processes, this is pretty much how logs and metrics work. In the case of logs, the events are generally text strings that get fired whenever the code decides to create...

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