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The Linux DevOps Handbook

You're reading from   The Linux DevOps Handbook Customize and scale your Linux distributions to accelerate your DevOps workflow

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Product type Paperback
Published in Nov 2023
Publisher Packt
ISBN-13 9781803245669
Length 428 pages
Edition 1st Edition
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Authors (2):
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Damian Wojsław Damian Wojsław
Author Profile Icon Damian Wojsław
Damian Wojsław
Grzegorz Adamowicz Grzegorz Adamowicz
Author Profile Icon Grzegorz Adamowicz
Grzegorz Adamowicz
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Toc

Table of Contents (20) Chapters Close

Preface 1. Part 1: Linux Basics
2. Chapter 1: Choosing the Right Linux Distribution FREE CHAPTER 3. Chapter 2: Command-Line Basics 4. Chapter 3: Intermediate Linux 5. Chapter 4: Automating with Shell Scripts 6. Part 2: Your Day-to-Day DevOps Tools
7. Chapter 5: Managing Services in Linux 8. Chapter 6: Networking in Linux 9. Chapter 7: Git, Your Doorway to DevOps 10. Chapter 8: Docker Basics 11. Chapter 9: A Deep Dive into Docker 12. Part 3: DevOps Cloud Toolkit
13. Chapter 10: Monitoring, Tracing, and Distributed Logging 14. Chapter 11: Using Ansible for Configuration as Code 15. Chapter 12: Leveraging Infrastructure as Code 16. Chapter 13: CI/CD with Terraform, GitHub, and Atlantis 17. Chapter 14: Avoiding Pitfalls in DevOps 18. Index 19. Other Books You May Enjoy

Continuously integrating and deploying your infrastructure

Testing application code is now a de facto standard, especially since the adoption of test-driven development (TDD). TDD is a software development process in which developers write automated tests before writing code.

These tests are designed to fail initially, and developers then write code to make them pass. The code is continuously refactored to ensure it is efficient and maintainable while passing all tests. This approach helps reduce the number of bugs and increase the reliability of the software.

Testing infrastructure is not as easy as that as it’s hard to check whether Amazon Elastic Compute Cloud (EC2) will be successfully started without actually starting the instance. It’s possible to mock API calls to AWS, but it won’t guarantee that the actual API will return the same results as your testing code. With AWS, it would also mean that testing will be slow (we will need to wait for this EC2...

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