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

CSV files

CSV is one of the most common data sources that a DevOps engineer can encounter.

This simple format has long been a mainstay in the corporate world as one of the easiest ways to export data out of a system for manipulation and back into a data store.

Many critical systems at large cloud providers, such as Google's GCP and Microsoft's Azure, have critical data sources and systems based on the CSV format. We have seen systems such as network modeling and critical data reporting stored in CSV.

Data scientists love CSV for its easy searching and streaming capabilities. The added quality of being able to quickly visualize the data in software has only added to its appeal.

And, like many other formats, it is human-readable, which allows the data to be manipulated by hand.

In this section, we are going to focus on importing and exporting CSV data using the following:

  • The strings package and the bytes package
  • The encoding/csv package

Additionally...