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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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Toc

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

Preface

Welcome to this book! Let’s talk about the content of this book and what you will learn from it. This book is about two things: DevOps and Python. It is about how these two entities, philosophies, frameworks, or whatever you would like to call them interact with each other.

This book will help you understand Python on a technical level, but also on a conceptual level, including what distinguishes Python from a lot of other languages and what makes it so popular among programmers and others who provide IT solutions.

At the same time, it will give you perspective on how important and useful DevOps is in modern IT infrastructure and how you can implement the concepts of DevOps using Python.

You will learn how to make the hard stuff easy and how to solve problems in a consistent and sustainable way. You will also learn how to insert bits of Python code into your workload to smoothen your problem-solving process.

This book will go beyond just some technical descriptions and processes and will help you make your workflow and work process even better regardless of the tools you are using.

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