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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

Debugging

Generally speaking, the cycle for debugging problems has the following steps:

  1. Detecting the problem. A new problem or defect is discovered
  2. Analyzing and assigning priority to this problem, to be sure that we spend time on meaningful problems and focus on the most important ones
  3. Investigating what exactly causes the problem. Ideally, this should end with a way of replicating the problem in a local environment
  4. Replicating the problem locally, and getting into the specific details on why it happens
  5. Fixing the problem

As you can see, the general strategy is to first locate and understand the problem, so we can then properly debug and fix it.

In this chapter, we'll cover the following topics to see effective techniques on how to work through all those phases:

  • Detecting and processing defects
  • Investigation in production
  • Understanding the problem in production
  • Local debugging
  • Python introspection...
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