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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

Part IV

Ongoing operations

Our work with an architecture is not finished when a system is up and running. A working application requires ongoing maintenance and effort to keep it running successfully.

Systems will be in a maintenance phase during the longest part of their life cycles. This phase is where we add features, detect and fix defects, and analyze the system's behavior to prevent problems.

To be able to do that successfully, we need to have tools to cover two basic elements:

  • Observability: This is the capability of knowing what's going on in a live system. Low-observability systems are difficult or even impossible to understand, which makes it difficult to know if there are problems or work out the cause of those problems. In high-observability systems, it's easy to infer the internal state and the events flowing inside the system, which allows for easy detection of the critical structures where problems are being generated...
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