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

View More author details

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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Using Python for CI/CD Pipelines

I’ve missed over 9,000 shots in my career. I’ve lost almost 300 games. 26 times I’ve been trusted to take the game-winning shot and missed. I’ve failed over and over and over again in my life. And that is why I succeed.

– Michael Jordan

In the past, when I was but a young college graduate (some two years ago), the term that kept coming up, right after being taught how to make a website, was Continuous Integration/Continuous Delivery (CI/CD). CI/CD was something that my college course did not teach. Most college courses do not; it is not enough of an academic exercise. However, if you’re a DevOps engineer, this is all you’ll do. This is your job. And Python is a great tool for doing your job better.

I have often described Python as a great facilitator, that is, as a tool that makes all other tools better. And that is the concept that we will explore further in this chapter. Python is a language...