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

Product type Paperback

Published in Mar 2024

Publisher Packt

ISBN-13 9781835081167

Length 220 pages

Edition 1st Edition

Languages

Python

Tools

Combine

Concepts

DevOps

Author (1):

Ankur Roy

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Table of Contents (19) Chapters

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

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18. Other Books You May Enjoy

To get the most out of this book

Often in this book, we cover tools and examples of how to use them to increase the productivity of your DevOps workload. You will need at least the version of Python mentioned here to use all the features described in the book. Most of the tasks done on one cloud platform can be done on equivalent services on other platforms.

Software/hardware covered in the book	Operating system requirements
Python 3.9 or higher	Windows, macOS, or Linux
Amazon Web Services (AWS)
Google Cloud Platform (GCP)
Microsoft Azure
Google Colab
Grafana

For the cloud platforms, you will need to set up accounts and billing with the respective services.

If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book’s GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.