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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

Proactively working with metrics

As we've seen, metrics show an aggregated point of view for the status of the whole cluster. They allow you to detect trending problems, but it's difficult to pinpoint a single spurious error.

This shouldn't stop us from considering them as a critical tool for successful monitoring because they can tell whether the whole system is healthy. In some companies, the most critical metrics are on permanent display on screens so the operations team can see them and react quickly to any sudden problem.

Finding the proper balance of what metrics are the key ones for a service is not as straightforward as it seems, and it will require time and experience, perhaps even trial and error.

There are, though, four metrics for online services that are considered always important. They are:

  • Latency: How many milliseconds it takes for the system to respond to a request. Depending on the service, sometimes seconds can be used instead...
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