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Mastering Go for DevOps

You're reading from   Mastering Go for DevOps Master building, automating, and scaling cloud infrastructure with Go

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Product type Paperback
Published in Dec 2025
Publisher Packt
ISBN-13 9781837027330
Length 370 pages
Edition 1st Edition
Concepts
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Author (1):
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Engin Polat Engin Polat
Author Profile Icon Engin Polat
Engin Polat
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Table of Contents (21) Chapters Close

Preface 1. Part 1: Go Foundations - CLI, Monitoring, and APIs FREE CHAPTER
2. Developing Command-Line Interfaces with Go 3. Packaging and Distributing Go CLIs 4. Integrating Go Applications with Prometheus 5. Writing Go Exporters for Prometheus 6. Building and Consuming RESTful APIs with Go 7. Working with gRPC and Microservices Architecture 8. Part 2: Build Custom Terraform Providers with Go
9. Using Go to Build Custom Terraform Providers 10. Writing Unit Tests and Integration Tests for Terraform Providers 11. Documenting and Publishing Terraform Providers 12. Automating Testing in Pipelines 13. Part 3: Go for Cloud Services
14. Integrating Go Applications with the AWS SDK 15. Integrating Go Applications with the Azure SDK 16. Serverless Computing Using AWS Lambda 17. Serverless Computing Using Azure Functions 18. Unlock Your Exclusive Benefits 19. Other Books You May Enjoy
20. Index

Developing Command-Line Interfaces with Go

In today’s DevOps ecosystem, command-line interfaces (CLIs) are more than just helpful utilities; they’re core tools that empower engineers to streamline workflows, manage infrastructure, and orchestrate complex deployments with precision and speed.

A well-designed CLI tool enables seamless automation, giving DevOps teams the agility they need to handle everything from routine tasks to high-stakes production issues. For any DevOps professional, mastering the creation of CLI tools can open doors to greater efficiency, reliability, and control over infrastructure.

This chapter focuses on building robust and elegant CLI applications with Go, a language well suited for DevOps needs. Go brings specific strengths that make it an ideal choice for developing CLIs that need to perform reliably across diverse environments, scale with demands, and operate efficiently under heavy workloads.

In this chapter, we will cover the...

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