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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 FREE CHAPTER
2. Chapter 1: Introducing DevOps Principles 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

This chapter took a few detours that you may have not seen coming. It was a chapter about simplicity, finding better ways to get your work done, and optimizing the use of your resources to get that work done.

You learned how to deliver content to your users faster and in a more customized way while at the same time collecting their data for analytical insights. You also learned the methods and formats of this data collection process, as well as the important role that Python can play in processing this data.

You also learned about applications, how most application waste is created, and how this can bog down your workload and your successors for years to come. You also learned a few ways to either mitigate, get around, or eliminate this problem.

So, in conclusion, you have now figured out that manipulating resources is about being efficient not just for the resources, but for the sake of your own time. I hope that you reflect on this chapter for your DevOps workloads...

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