Hands-On Python for DevOps

This is the code repository for Hands-On Python for DevOps, published by Packt.

Leverage Python's native libraries to streamline your workflow and save time with automation

What is this book about?

Unleash the power of Python in DevOps with this comprehensive guide to integrating Python into DevOps workflows to automate tasks, enhance CI/CD pipelines, and delve into MLOps and DataOps to streamline operations and boost efficiency.

This book covers the following exciting features:

Implement DevOps practices and principles using Python
Enhance your DevOps workloads with Python
Create Python-based DevOps solutions to improve your workload efficiency
Understand DevOps objectives and the mindset needed to achieve them
Use Python to automate DevOps tasks and increase productivity
Explore the concepts of DevSecOps, MLOps, DataOps, and more
Use Python for containerized workloads in Docker and Kubernetes

If you feel this book is for you, get your copy today!

Instructions and Navigations

All of the code is organized into folders. For example, Chapter02.

The code will look like the following:

def packet_handler(packet):
print(packet)
packet_sizes.append(len(packet))
timestamps.append(packet.time)

Following is what you need for this book: This book is for IT professionals venturing into DevOps, particularly programmers seeking to apply their existing programming knowledge to excel in this field. For DevOps professionals without a coding background, this book serves as a resource to enhance their understanding of development practices and communicate more effectively with developers. Solutions architects, programmers, and anyone regularly working with DevOps solutions and Python will also benefit from this hands-on guide.

With the following software and hardware list you can run all code files present in the book (Chapter 1-13).

Software and Hardware List

Chapter	Software required	OS required
1-13	Python 3.9 or higher	Windows, macOS, or Linux
1-13	Amazon Web Services (AWS)	Windows, macOS, or Linux
1-13	Google Cloud Platform (GCP)	Windows, macOS, or Linux
1-13	Microsoft Azure	Windows, macOS, or Linux
1-13	Google Colab	Windows, macOS, or Linux
1-13	Grafana	Windows, macOS, or Linux

Get to Know the Author

Ankur Roy is a Solutions Architect at Online Partner AB in Stockholm, Sweden. Prior to this, he worked as a Software Engineer at Genese Solution in Kathmandu, Nepal. His areas of expertise include cloud-based solutions and workloads in a diverse range of fields such as development, DevOps, and security, among others. Ankur is an avid blogger, podcaster, content creator, and contributing member of the Python, DevOps, and cloud computing community. He has completed all the available certifications in Google Cloud and several others in AWS and Azure as well. Moreover, he is an AWS Community Builder.

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