Book Image

Expert Python Programming - Fourth Edition

By : Michał Jaworski, Tarek Ziadé
Book Image

Expert Python Programming - Fourth Edition

By: Michał Jaworski, Tarek Ziadé

Overview of this book

This new edition of Expert Python Programming provides you with a thorough understanding of the process of building and maintaining Python apps. Complete with best practices, useful tools, and standards implemented by professional Python developers, this fourth edition has been extensively updated. Throughout this book, you’ll get acquainted with the latest Python improvements, syntax elements, and interesting tools to boost your development efficiency. The initial few chapters will allow experienced programmers coming from different languages to transition to the Python ecosystem. You will explore common software design patterns and various programming methodologies, such as event-driven programming, concurrency, and metaprogramming. You will also go through complex code examples and try to solve meaningful problems by bridging Python with C and C++, writing extensions that benefit from the strengths of multiple languages. Finally, you will understand the complete lifetime of any application after it goes live, including packaging and testing automation. By the end of this book, you will have gained actionable Python programming insights that will help you effectively solve challenging problems.
Table of Contents (16 chapters)
14
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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...