Cloud-Native Observability with OpenTelemetry

Learn to gain visibility into systems by combining tracing, metrics, and logging with OpenTelemetry

By: Alex Boten

Write A Review

eText | 4 May 2022 | Edition Number 1

At a Glance

Format
ePUB

eText

$53.89

or 4 interest-free payments of $13.47 with

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

Leverage OpenTelemetry's API, libraries, tools and the collector to produce and collect telemetry along with using open-source tools to analyze distributed traces, check metrics and logs, and gain insight into application health

Key Features

Get to grips with OpenTelemetry, an open-source cloud-native software observability standard
Use vendor-neutral tools to instrument applications to produce better telemetry and improve observability
Understand how telemetry data can be correlated and interpreted to understand distributed systems

Book Description

Cloud-Native Observability with OpenTelemetry" is a guide to help users look for answers to questions about their applications. It teaches users how to produce telemetry from their applications using an open standard to retain control of their 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. We'll look at various examples of how to identify application performance issues through telemetry. By analyzing telemetry, we'll 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 the core concepts of OpenTelemetry. Additionally, you will be able to instrument services using the OpenTelemetry API to produce distributed traces, metrics and logs. You'll know what the collector is and how to deploy it. The book also provides an introduction to analyzing telemetry data to gain insights into the health of your cloud-native applications

What you will learn

Understand the core concepts of OpenTelemetry
Explore concepts in distributed tracing, metrics and logging
Discover the APIs and SDKs necessary to instrument an application using OpenTelemetry
Explore what auto-instrumentation is and how it can help accelerate application instrumentation
Configure and deploy the OpenTelemetry Collector
Get to grips with how different open-source backends can be used to analyze telemetry data
Understand how to correlate telemetry in common scenarios to get to the root cause of a problem

Who This Book Is For

This book is for software engineers, library authors, and systems operators looking to better understand their infrastructure, services and applications by leveraging telemetry data like never before. Working knowledge of Python programming is assumed for the example applications that you'll be building and instrumenting using the > OpenTelemetry API and SDK. Some familiarity with Go programming, Linux and Docker is preferable to help you set up additional components in various examples throughout the book.