Hands-On Python for DevOps: Leverage Python's native libraries to streamline your workflow and save time with automation
暫譯: 實戰 Python 在 DevOps 中的應用:利用 Python 的原生庫簡化工作流程並透過自動化節省時間

Roy, Ankur

  • 出版商: Packt Publishing
  • 出版日期: 2024-03-15
  • 售價: $1,850
  • 貴賓價: 9.5$1,758
  • 語言: 英文
  • 頁數: 220
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1835081169
  • ISBN-13: 9781835081167
  • 相關分類: DevOpsPython程式語言
  • 立即出貨 (庫存=1)

相關主題

商品描述

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.

商品描述(中文翻譯)

釋放 DevOps 卓越,利用 Python 及其生態系統中的工具,在本地和雲端平台(如 GCP、AWS 和 Azure)上實現無縫協調

主要特點:


  • 將 Python 整合進 DevOps,以簡化工作流程、自動化任務和改善協作

  • 將 Python 和 DevOps 的原則結合成一個統一的問題解決方法

  • 了解 Python 在基礎設施即代碼(Infrastructure as Code, IaC)、MLOps、網絡及其他領域中的角色

  • 購買印刷版或 Kindle 書籍可獲得免費 PDF 電子書

書籍描述:

Python 在 DevOps 中脫穎而出,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程式語言。本書將幫助您理解 Python 的真正靈活性,通過實際範例展示如何將其整合進極具實用性的 DevOps 工作流程和工作負載中。

您將首先了解 Python 和 DevOps 哲學之間的共生關係,然後探索 Python 在配置和操作虛擬機(VM)及其他雲資源方面的應用,以促進 DevOps 活動。通過插圖範例,您將熟悉自動化 DevOps 任務,並學習 Python 在何處以及如何用於增強 CI/CD 管道。此外,本書強調 Python 在基礎設施即代碼(IaC)過程開發中的角色,包括其與 Ansible、SaltStack 和 Terraform 等工具的連接。最後幾章涵蓋了 MLOps、DataOps 和 Python 與生成式 AI 整合等進階概念,提供監控、日誌記錄、Kubernetes 等領域的概覽。

在本書結束時,您將知道如何在基於 DevOps 的工作負載中利用 Python,使您的生活更輕鬆並節省時間。

您將學到什麼:


  • 使用 Python 實施 DevOps 實踐和原則

  • 利用 Python 增強您的 DevOps 工作負載

  • 創建基於 Python 的 DevOps 解決方案以提高工作效率

  • 理解 DevOps 目標及實現這些目標所需的心態

  • 使用 Python 自動化 DevOps 任務並提高生產力

  • 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

本書適合誰:

本書適合進入 DevOps 領域的 IT 專業人士,特別是希望將現有程式設計知識應用於此領域的程式設計師。對於沒有編碼背景的 DevOps 專業人士,本書作為增強其對開發實踐理解的資源,並能更有效地與開發人員溝通。解決方案架構師、程式設計師以及任何定期使用 DevOps 解決方案和 Python 的人都將從這本實用指南中受益。