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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

Investigation in production

Once we are aware that we have a problem in production, we need to understand what is happening and what the key elements that produce it are.

It's very important to remark on the importance of being able to replicate a problem. If that's the case, tests can be done to produce the error and follow the consequences.

The most important tools when analyzing why a particular problem is produced are the observability tools. That's why it is important to do preparation work in advance to be sure to be able to find problems when required.

We talked in previous chapters about logs and metrics. When debugging, metrics are normally not relevant, except to show the relative importance of a bug. Checking an increase in returned errors can be important to detect that there's an error, but detecting what error will require more precise information.

Do not underestimate metrics, though. They can help quickly determine what...

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