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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

Summary

Alright, this is the end, not just of the chapter but of the book. The end of your journey as a reader of this book and of mine as a first-time author. It has been quite the journey. Talking about this chapter in general, it was a lot more abstract and a lot less code-focused than a lot of the other chapters, but that is because I’ve come to understand one thing when it comes to all of these systems: everything is code. Everything you touch will have been coded in some way; it is just up to you to understand and manipulate the logic behind it.

In the section regarding Step Functions, you learned about a very useful automation tool, but you also learned that it is a way to use coding logic visually while integrating that way into a lot of powerful tools and services.

In the section on advanced monitoring, we learned about a powerful monitoring and visualization tool in Grafana and the importance of centralized monitoring in preserving your sanity by not having to...

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