Use Of Python In Devops
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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.
Python for DevOps
DESCRIPTION Python has emerged as a powerhouse for DevOps, enabling efficient automation across various stages of software development and deployment. This book bridges the gap between Python programming and DevOps practices, providing a practical guide for automating infrastructure, workflows, and processes, empowering you to streamline your development lifecycle. This book begins with foundational Python concepts and their application in Linux system administration and data handling. Progressing through command line tool development using argparse and Click, package management with pip, Pipenv, and Docker, you will explore automating cloud infrastructure with AWS, GCP, Azure, and Kubernetes. The book covers configuration management with Ansible, Chef, and Puppet, and CI/CD pipelines using Jenkins, GitLab, and GitHub. You will also learn monitoring with Prometheus, Grafana, and OpenTelemetry, MLOps with Kubeflow and MLflow, serverless architecture using AWS Lambda, Azure Functions and Google Cloud Functions, and security automation with DevSecOps practices. The real-world project in this book will ensure the practical application of your learning. By mastering the techniques within this guide, you will gain the expertise to automate complex DevOps workflows with Python, enhancing your productivity and ensuring robust and scalable deployments, making you a highly competent DevOps professional. WHAT YOU WILL LEARN ● Automate DevOps tasks using Python for efficiency and scalability. ● Implement infrastructure as code (IaC) with Python, Terraform, and Ansible. ● Orchestrate containers with Python, Docker, Kubernetes, and Helm charts. ● Manage cloud infrastructure on AWS, Azure, and GCP using Python. ● Enhance security, monitoring, and compliance with Python automation tools. ● Monitor with Prometheus/Grafana/OpenTelemetry, implement MLOps using Kubeflow/MLflow, and deploy serverless architecture. ● Apply real-world project skills, and integrate diverse DevOps automations using Python. ● Ensure robust code quality, apply design patterns, secure secrets, and scale script optimization. WHO THIS BOOK IS FOR This book is for DevOps engineers, system administrators, software developers, students, and IT professionals seeking to automate infrastructure, deployments, and cloud management using Python. Familiarity with Python, Linux commands, and DevOps concepts is beneficial, but the book is designed to provide guidance to all. TABLE OF CONTENTS 1. Introduction to Python and DevOps 2. Python for Linux System Administration 3. Automating Text and Data with Python 4. Building and Automating Command-line Tools 5. Package Management and Environment Isolation 6. Automating System Administration Tasks 7. Networking and Cloud Automation 8. Container Orchestration with Kubernetes 9. Configuration Management Automation 10. Continuous Integration and Continuous Deployment 11. Monitoring, Instrumentation, and Logging 12. Implementing MLOps 13. Serverless Architecture with Python 14. Security Automation and Compliance 15. Best Practices and Patterns in Automating with Python 16. Deploying a Blog in Microservices Architecture
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.