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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

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Product type Paperback
Published in Jul 2022
Publisher Packt
ISBN-13 9781801818896
Length 634 pages
Edition 1st Edition
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Concepts
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Authors (2):
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John Doak John Doak
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John Doak
David Justice David Justice
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David Justice
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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

Chapter 6: Interacting with Remote Data Sources

In the last chapter, we talked about dealing with common data formats and showed how we can read and write data in those formats. But in that chapter, we were simply dealing with data that was accessible through a filesystem.

While the filesystem may actually have files that exist on remote devices through services such as the Network File System (NFS) or the Server Message Block (SMB), other remote data sources exist.

In this chapter, we will look at some common ways to send and receive data in remote data sources. This will focus on accessing data on remote systems using the Structured Query Language (SQL), REpresentational State Transfer (REST), and Google Remote Procedure Call (gRPC). You will learn how to access common SQL data stores, with a focus on PostgreSQL. We will also explore how Remote Procedure Call (RPC) services are created and queried using REST- and gRPC-style RPC methodologies.

With the skills you gain here...

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