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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

A couple of simple DevOps tasks in Python

I have so far preached to you the virtues of DevOps and the virtues of Python but so far, I have shown you very little of how the two work together. Now, we get to that part. Here, I will demonstrate a couple of examples of how to use Python to automate some regular DevOps tasks that some engineers may have to perform on a daily basis. These two examples will be from AWS, though they are applicable in other big clouds as well and can be applied on most data center servers if you have the right APIs.

The code for this chapter and all future chapters are stored in this repository: https://github.com/PacktPublishing/Hands-On-Python-for-DevOps

Automated shutdown of a server

Oftentimes, there is the case of certain servers that only need to be up during working hours and then need to be switched off afterward. Now, this particular scenario has a lot of caveats, which include the platform used, the accounts where the servers are running...

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