Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Go for DevOps

You're reading from   Go for DevOps Learn how to use the Go language to automate servers, the cloud, Kubernetes, GitHub, Packer, and Terraform

Arrow left icon
Product type Paperback
Published in Jul 2022
Publisher Packt
ISBN-13 9781801818896
Length 634 pages
Edition 1st Edition
Languages
Tools
Concepts
Arrow right icon
Authors (2):
Arrow left icon
John Doak John Doak
Author Profile Icon John Doak
John Doak
David Justice David Justice
Author Profile Icon David Justice
David Justice
Arrow right icon
View More author details
Toc

Table of Contents (22) Chapters Close

Preface 1. Section 1: Getting Up and Running with Go
2. Chapter 1: Go Language Basics FREE CHAPTER 3. Chapter 2: Go Language Essentials 4. Chapter 3: Setting Up Your Environment 5. Chapter 4: Filesystem Interactions 6. Chapter 5: Using Common Data Formats 7. Chapter 6: Interacting with Remote Data Sources 8. Chapter 7: Writing Command-Line Tooling 9. Chapter 8: Automating Command-Line Tasks 10. Section 2: Instrumenting, Observing, and Responding
11. Chapter 9: Observability with OpenTelemetry 12. Chapter 10: Automating Workflows with GitHub Actions 13. Chapter 11: Using ChatOps to Increase Efficiency 14. Section 3: Cloud ready Go
15. Chapter 12: Creating Immutable Infrastructure Using Packer 16. Chapter 13: Infrastructure as Code with Terraform 17. Chapter 14: Deploying and Building Applications in Kubernetes 18. Chapter 15: Programming the Cloud 19. Chapter 16: Designing for Chaos 20. Index 21. Other Books You May Enjoy

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...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime