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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
Languages
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Concepts
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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

The journey of a DataOps or MLOps engineer is just a DevOps engineer who has gotten some understanding of data and machine learning concepts. That’s pretty much it. But, as we saw in this chapter, the usage of those concepts is a pretty useful thing.

First, we talked about the differences and similarities between DevOps and these associated fields and how they are connected with each other. Using that, we managed to produce a couple of practical use cases that can come in handy when using Python with DataOps and MLOps.

Next, we talked about handling the proverbial big data. We talked about the aspects that make the data so big and how to tackle each of these aspects individually using a use case for each.

Finally, we talked about ChatGPT and how it works in delivering all the things that it delivers to users around the world. We discussed the simplicity of its complexity and its mystery, as well as the new age of open source LLMs that has accelerated the development...

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