Book Description
Take advantage of Python to automate complex systems with readable code. This new edition will help you move from operations/system administration into easy-to-learn coding.
You’ll start by writing command-line scripts and automating simple DevOps-style tasks followed by creating reliable and fast unit tests designed to avoid incidents caused by buggy automation. You’ll then move on to more advanced cases, like using Jupyter as an auditable remote-control panel and writing Ansible and Salt extensions.
The updated information in this book covers best practices for deploying and updating Python applications. This includes Docker, modern Python packaging, and internal Python package repositories. You’ll also see how to use the AWS API, and the Kubernetes API, and how to automate Docker container image building and running. Finally, you’ll work with Terraform from Python to allow more flexible templating and customization of environments.
What You’ll Learn
- Understand operating system automation with Python
- Package Python applications
- Use Python as a DevOps console
- Review Cloud automation with Python
Who This Book Is For
DevOps engineer. Site Reliability Engineer, or similar (including Platform, Production, and Systems), and whose organization uses Python.
中文：
书名：DevOps in Python: Infrastructure as Python, 2nd Edition
利用Python的优势，使用可读代码实现复杂系统的自动化。这个新版本将帮助您从操作/系统管理转移到易于学习的编码。
您将从编写命令行脚本和自动化简单的DevOps风格的任务开始，然后创建可靠且快速的单元测试，旨在避免自动化错误导致的事故。然后，您将继续讨论更高级的案例，比如使用Jupyter作为可审计的远程控制面板，以及编写Ansible和Salt扩展。
本书中的更新信息涵盖了部署和更新Python应用程序的最佳实践。这包括Docker、现代的Python打包和内部的Python包库。您还将了解如何使用AWS API和Kubernetes API，以及如何自动构建和运行Docker容器映像。最后，您将使用来自Python的Terraform，以实现更灵活的环境模板化和定制。
你会学到什么？
- 了解如何使用Python实现操作系统自动化
- 打包Python应用程序
- 使用Python作为DevOps控制台
- 回顾使用Python实现的云自动化
这本书是为谁写的
DevOps工程师。站点可靠性工程师或类似人员(包括平台、生产和系统)，其组织使用Python。
