Python Automation For Devops
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Python Automation for DevOps
Author: Warwick Smit
language: en
Publisher: Independently Published
Release Date: 2025-11-21
Python Automation for DevOps is the ultimate practical guide for anyone ready to master real-world automation using Python. It shows you how to connect code, cloud, and CI/CD into one seamless workflow that saves time, reduces human error, and improves reliability. Every chapter walks you through working Python scripts that automate tasks such as building containers, deploying applications, managing infrastructure, and monitoring system health. You will learn how to automate your DevOps workflow from end to end writing Python scripts to build Docker images, orchestrate pipelines, manage infrastructure with Terraform, and secure deployments with DevSecOps tools. Each concept is explained step by step with clear examples, making it easy to follow even if you are a complete beginner. By the time you finish, you will have a working DevOps automation pipeline that integrates everything you have learned into a single, efficient system. This book blends clarity with real-world practicality. Instead of abstract theory, it gives you repeatable scripts, best practices, and solid reasoning for why things work. It is perfect for developers, IT professionals, and learners who want to master automation through real projects rather than dry explanations. Warwick Smit, a DevOps automation instructor and systems engineer, delivers complex topics in a simple, actionable way. His experience helping teams build scalable, secure infrastructure comes through in every chapter, ensuring that readers not only understand automation but can confidently implement it in their own environments. Whether you want to build modern pipelines, optimize workflows, or gain the skills to become a full DevOps engineer, this book will guide you every step of the way. Why Readers Love This Book - Clear, actionable instructions with complete working Python examples - Teaches automation through real DevOps tools: Docker, Terraform, FastAPI, GitHub Actions, and more - Includes a full CI/CD project pipeline with security and observability integration - Written for true beginners yet detailed enough for professionals who want practical skills - Designed to help you think like a modern DevOps engineer
DevOps in Python
Explore and apply best practices for efficient application deployment. This book draws upon author Moshe Zadka's years of Dev Ops experience and focuses on the parts of Python, and the Python ecosystem, that are relevant for DevOps engineers. You'll start by writing command-line scripts and automating simple DevOps-style tasks. You'll then move on to more advanced cases, like using Jupyter as an auditable remote-control panel, and writing Ansible and Salt extensions. This work also covers how to use the AWS API to manage cloud infrastructure, and how to manage Python programs and environments on remote machines. Python was invented as a systems management language for distributed operating systems, which makes it an ideal tool for DevOps. Assuming a basic understanding of Python concepts, this book is perfect for engineers who want to move from operations/system administration into coding. What You'll Learn Use third party packages and create new packages Create operating system management and automation code in Python Write testable code, and testing best practices Work with REST APIs for web clients Who This Book Is For Junior or intermediate sysadmin who has picked up some bash and Python basics.
Hands-On Python for DevOps
Unleash DevOps excellence with Python and its ecosystem of tools for seamless orchestration on both local and cloud platforms, such as GCP, AWS, and Azure Key Features Integrate Python into DevOps for streamlined workflows, task automation, and improved collaboration Combine the principles of Python and DevOps into a unified approach for problem solving Learn about Python’s role in Infrastructure as Code (IaC), MLOps, networking, and other domains Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionPython stands out as a powerhouse in DevOps, boasting unparalleled libraries and support, which makes it the preferred programming language for problem solvers worldwide. This book will help you understand the true flexibility of Python, demonstrating how it can be integrated into incredibly useful DevOps workflows and workloads, through practical examples. You'll start by understanding the symbiotic relation between Python and DevOps philosophies and then explore the applications of Python for provisioning and manipulating VMs and other cloud resources to facilitate DevOps activities. With illustrated examples, you’ll become familiar with automating DevOps tasks and learn where and how Python can be used to enhance CI/CD pipelines. Further, the book highlights Python’s role in the Infrastructure as Code (IaC) process development, including its connections with tools like Ansible, SaltStack, and Terraform. The concluding chapters cover advanced concepts such as MLOps, DataOps, and Python’s integration with generative AI, offering a glimpse into the areas of monitoring, logging, Kubernetes, and more. By the end of this book, you’ll know how to leverage Python in your DevOps-based workloads to make your life easier and save time.What you will learn 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 Who this book is for 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.