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Cloud-Native Observability with OpenTelemetry

You're reading from   Cloud-Native Observability with OpenTelemetry Learn to gain visibility into systems by combining tracing, metrics, and logging with OpenTelemetry

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Product type Paperback
Published in May 2022
Publisher Packt
ISBN-13 9781801077705
Length 386 pages
Edition 1st Edition
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Author (1):
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Alex Boten Alex Boten
Author Profile Icon Alex Boten
Alex Boten
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Table of Contents (17) Chapters Close

Preface 1. Section 1: The Basics
2. Chapter 1: The History and Concepts of Observability FREE CHAPTER 3. Chapter 2: OpenTelemetry Signals – Traces, Metrics, and Logs 4. Chapter 3: Auto-Instrumentation 5. Section 2: Instrumenting an Application
6. Chapter 4: Distributed Tracing – Tracing Code Execution 7. Chapter 5: Metrics – Recording Measurements 8. Chapter 6: Logging – Capturing Events 9. Chapter 7: Instrumentation Libraries 10. Section 3: Using Telemetry Data
11. Chapter 8: OpenTelemetry Collector 12. Chapter 9: Deploying the Collector 13. Chapter 10: Configuring Backends 14. Chapter 11: Diagnosing Problems 15. Chapter 12: Sampling 16. Other Books You May Enjoy

To get the most out of this book

The examples in this book were developed on macOS x86-64 using versions of Python ranging from 3.6 to 3.9. The latest version of OpenTelemetry for Python tested is version 1.10.0, which includes experimental support for both metrics and logging. It's likely that the API will change in subsequent releases, so be aware of the version installed as you go through the examples. Consult the changelog of the OpenTelemetry Python repository (https://github.com/open-telemetry/opentelemetry-python/blob/main/CHANGELOG.md) for the latest updates.

Many examples in the book rely on Docker and Docker Compose to deploy environments locally. As of January 2022, the license for Docker Desktop still allows users to install it for free for personal use, education, and non-commercial open source projects. If the licensing prevents you from using Docker Desktop, there are alternatives available.

If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book's GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

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