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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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Toc

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

Conventions used

There are a number of text conventions used throughout this book.

Code in text: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: "The code then calls the global set_meter_provider method to set the meter provider for the entire application."

A block of code is set as follows:

from opentelemetry._metrics import set_meter_provider
from opentelemetry.sdk._metrics import MeterProvider
from opentelemetry.sdk.resources import Resource
def configure_meter_provider():
    provider = MeterProvider(resource=Resource.create())
    set_meter_provider(provider)
if __name__ == "__main__":
    configure_meter_provider()

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

from opentelemetry._metrics import get_meter_provider, set_meter_provider
...
if __name__ == "__main__":
    configure_meter_provider()
    meter = get_meter_provider().get_meter(
        name="metric-example",
        version="0.1.2",
        schema_url=" https://opentelemetry.io/schemas/1.9.0",
    )

Any command-line input or output is written as follows:

$ git clone https://github.com/PacktPublishing/Cloud-Native-Observability
$ cd Cloud-Native-Observability/chapter7

Bold: Indicates a new term, an important word, or words that you see onscreen. For instance, words in menus or dialog boxes appear in bold. Here is an example: "Search for traces by clicking the Run Query button."

Tips or Important Notes

Appear like this.

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