Hands-On Python for DevOps: Leverage Python's native libraries to streamline your workflow and save time with automation

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 Description:

Python 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.

發揮 Python 及其生態系統工具的優勢，實現在本地和雲平台（如 GCP、AWS 和 Azure）上無縫協調的 DevOps 卓越能力

主要特點：
- 將 Python 整合到 DevOps 中，實現工作流程的優化、任務自動化和協作改進
- 將 Python 和 DevOps 的原則結合成統一的問題解決方法
- 了解 Python 在基礎架構即代碼（IaC）、MLOps、網絡等領域中的作用
- 購買印刷版或 Kindle 版本的書籍將包含免費的 PDF 電子書

書籍描述：
Python 在 DevOps 領域中獨樹一幟，擁有無與倫比的庫和支持，使其成為全球問題解決者首選的編程語言。本書將幫助您了解 Python 的真正靈活性，通過實際示例演示如何將其集成到非常有用的 DevOps 工作流程和工作負載中。

您將首先了解 Python 和 DevOps 理念之間的共生關係，然後探索 Python 在供應和操作虛擬機器和其他雲資源方面的應用，以促進 DevOps 活動。通過示例演示，您將熟悉自動化 DevOps 任務的方法，並了解 Python 如何在增強 CI/CD 流水線方面發揮作用。此外，本書還突出了 Python 在基礎架構即代碼（IaC）流程開發中的作用，包括其與 Ansible、SaltStack 和 Terraform 等工具的聯繫。最後幾章介紹了 MLOps、DataOps 和 Python 與生成式 AI 的整合等高級概念，為監控、日誌記錄、Kubernetes 等領域提供了一瞥。

通過閱讀本書，您將學會如何在基於 DevOps 的工作負載中充分利用 Python，使您的工作更輕鬆，節省時間。

學到什麼：
- 使用 Python 實施 DevOps 實踐和原則
- 通過 Python 增強您的 DevOps 工作負載
- 創建基於 Python 的 DevOps 解決方案，提高工作負載效率
- 了解 DevOps 目標和實現所需的心態
- 使用 Python 自動化 DevOps 任務，提高生產力
- 探索 DevSecOps、MLOps、DataOps 等概念
- 在 Docker 和 Kubernetes 中使用 Python 進行容器化工作負載

本書適合對 DevOps 感興趣的 IT 專業人士，特別是希望將現有的編程知識應用於這一領域的程序員。對於沒有編程背景的 DevOps 專業人員，本書可作為提高對開發實踐的理解並更有效地與開發人員溝通的資源。解決方案架構師、程序員以及經常使用 DevOps 解決方案和 Python 的人也將從這本實用指南中受益。