Book Image

Go for DevOps

By : John Doak, David Justice
5 (1)
Book Image

Go for DevOps

5 (1)
By: John Doak, David Justice

Overview of this book

Go is the go-to language for DevOps libraries and services, and without it, achieving fast and safe automation is a challenge. With the help of Go for DevOps, you'll learn how to deliver services with ease and safety, becoming a better DevOps engineer in the process. Some of the key things this book will teach you are how to write Go software to automate configuration management, update remote machines, author custom automation in GitHub Actions, and interact with Kubernetes. As you advance through the chapters, you'll explore how to automate the cloud using software development kits (SDKs), extend HashiCorp's Terraform and Packer using Go, develop your own DevOps services with gRPC and REST, design system agents, and build robust workflow systems. By the end of this Go for DevOps book, you'll understand how to apply development principles to automate operations and provide operational insights using Go, which will allow you to react quickly to resolve system failures before your customers realize something has gone wrong.
Table of Contents (21 chapters)
1
Section 1: Getting Up and Running with Go
10
Section 2: Instrumenting, Observing, and Responding
14
Section 3: Cloud ready Go

Summary

In this chapter, we explored the basics of OpenTelemetry, how to instrument your applications and infrastructure, and how to export that telemetry into backend visualization and analysis tools such as Jaeger and Prometheus. We also extended the benefits of metrics by integrating alerting rules to proactively notify us when an application is operating outside of expected behavioral parameters. With the application of what you have learned, you will never be caught blind during a support call. You will have the data to diagnose and resolve issues in your complex system. Better yet, you will know about these problems before issues are raised by your customers.

We also established some relatively simple metrics, traces, and alerts. With this knowledge, you will be able to implement your own traces, metrics, and alerts to empower you and your team to react quickly and efficiently to failures in production.

In the next chapter, we will discuss how to automate workflows with...