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Cloud-Native Observability with OpenTelemetry

Cloud-Native Observability with OpenTelemetry

By : Boten
4.8 (8)
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Cloud-Native Observability with OpenTelemetry

Cloud-Native Observability with OpenTelemetry

4.8 (8)
By: Boten

Overview of this book

Cloud-Native Observability with OpenTelemetry is a guide to helping you look for answers to questions about your applications. This book teaches you how to produce telemetry from your applications using an open standard to retain control of data. OpenTelemetry provides the tools necessary for you to gain visibility into the performance of your services. It allows you to instrument your application code through vendor-neutral APIs, libraries and tools. By reading Cloud-Native Observability with OpenTelemetry, you’ll learn about the concepts and signals of OpenTelemetry - traces, metrics, and logs. You’ll practice producing telemetry for these signals by configuring and instrumenting a distributed cloud-native application using the OpenTelemetry API. The book also guides you through deploying the collector, as well as telemetry backends necessary to help you understand what to do with the data once it's emitted. You’ll look at various examples of how to identify application performance issues through telemetry. By analyzing telemetry, you’ll also be able to better understand how an observable application can improve the software development life cycle. By the end of this book, you’ll be well-versed with OpenTelemetry, be able to instrument services using the OpenTelemetry API to produce distributed traces, metrics and logs, and more.
Table of Contents (17 chapters)
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1
Section 1: The Basics
3
Chapter 2: OpenTelemetry Signals – Traces, Metrics, and Logs
5
Section 2: Instrumenting an Application
10
Section 3: Using Telemetry Data

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

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