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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

Metrics

As well as logging, the other key element of observability is metrics. Metrics allow you to see the general state of the system and observe trends and situations that are mostly caused by multiple, perhaps even many, tasks being executed at the same time.

During this chapter, we will mostly use examples of web services, like request metrics. Do not feel restricted by them; you can generate metrics in all kinds of services!

When monitoring a live system, typically metrics are the main focus, as they allow you to see at a glance whether everything appears to be working correctly. Normally with metrics, it is possible to detect if a system is struggling, for example, for a sudden increase in the number of incoming requests, but also to foresee problems by showing trends, like a small but constant increase in the number of requests. This allows you to act preemptively, without waiting until a problem is serious.

Generating a good metric system to monitor...

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