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Expert Python Programming – Fourth Edition

You're reading from   Expert Python Programming – Fourth Edition Master Python by learning the best coding practices and advanced programming concepts

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Product type Paperback
Published in May 2021
Publisher Packt
ISBN-13 9781801071109
Length 630 pages
Edition 4th Edition
Languages
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Authors (3):
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Michał Jaworski Michał Jaworski
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Michał Jaworski
Tarek Ziade Tarek Ziade
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Tarek Ziadé Tarek Ziadé
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Tarek Ziadé
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Table of Contents (16) Chapters Close

Preface 1. Current Status of Python 2. Modern Python Development Environments 3. New Things in Python 4. Python in Comparison with Other Languages 5. Interfaces, Patterns, and Modularity FREE CHAPTER 6. Concurrency 7. Event-Driven Programming 8. Elements of Metaprogramming 9. Bridging Python with C and C++ 10. Testing and Quality Automation 11. Packaging and Distributing Python Code 12. Observing Application Behavior and Performance 13. Code Optimization 14. Other Books You May Enjoy
15. Index

Instrumenting code with custom metrics

If we want to keep our application running smoothly, we need to be proactive. Observability isn't only about being able to do post-mortem analysis of logs and error reports. It is also about collecting various metrics that provide insights about service load, performance, and resource usage. If you monitor how your application behaves during normal operation, you will be able to spot anomalies and anticipate failures before they happen.

The key in monitoring software is defining metrics that will be useful in determining the general service health. Typical metrics can be divided into a few categories:

  • Resource usage metrics: Typical metrics are memory, disk, network, and CPU time usage. You should always monitor these metrics because every infrastructure has limited resources. That's true even for cloud services, which provide seemingly unlimited resource pools. If one service has abnormal resource usage, it can starve...
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