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Hands-On Python for DevOps

You're reading from   Hands-On Python for DevOps Leverage Python's native libraries to streamline your workflow and save time with automation

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Product type Paperback
Published in Mar 2024
Publisher Packt
ISBN-13 9781835081167
Length 220 pages
Edition 1st Edition
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Author (1):
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Ankur Roy Ankur Roy
Author Profile Icon Ankur Roy
Ankur Roy
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Table of Contents (19) Chapters Close

Preface 1. Part 1: Introduction to DevOps and role of Python in DevOps
2. Chapter 1: Introducing DevOps Principles FREE CHAPTER 3. Chapter 2: Talking about Python 4. Chapter 3: The Simplest Ways to Start Using DevOps in Python Immediately 5. Chapter 4: Provisioning Resources 6. Part 2: Sample Implementations of Python in DevOps
7. Chapter 5: Manipulating Resources 8. Chapter 6: Security and DevSecOps with Python 9. Chapter 7: Automating Tasks 10. Chapter 8: Understanding Event-Driven Architecture 11. Chapter 9: Using Python for CI/CD Pipelines 12. Part 3: Let’s Go Further, Let’s Build Bigger
13. Chapter 10: Common DevOps Use Cases in Some of the Biggest Companies in the World 14. Chapter 11: MLOps and DataOps 15. Chapter 12: How Python Integrates with IaC Concepts 16. Chapter 13: The Tools to Take Your DevOps to the Next Level 17. Index 18. Other Books You May Enjoy

The Simplest Ways to Start Using DevOps in Python Immediately

Things don’t just happen. They are made to happen.

– John F. Kennedy

Over the past couple of chapters, you’ve probably been thinking, all these principles and philosophies are fine, but I want to get my hands dirty! If that’s what you want, then this is the chapter for you. In this chapter, you will learn how to use Python and its libraries to serve the purposes of your workloads.

Now, I’m not suggesting that you switch to Python-based alternatives from what you are currently using. In fact, most of the tools and techniques that we are about to discuss are meant to be in support of existing infrastructure and methods as opposed to a replacement for them.

This chapter is meant to give you a good grasp of the possibilities that the Python programming language provides DevOps as well as the ways that you can integrate it into your pre-existing systems and infrastructure.

In...

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