DevOps in Python: Infrastructure as Python 2nd ed. Edition

DevOps in Python: Infrastructure as Python 2nd ed. Edition book cover

DevOps in Python: Infrastructure as Python 2nd ed. Edition

Author(s): Moshe Zadka (Author)

  • Publisher: Apress
  • Publication Date: 30 Jun. 2022
  • Edition: 2nd ed.
  • Language: English
  • Print length: 251 pages
  • ISBN-10: 1484279956
  • ISBN-13: 9781484279953

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.

Editorial Reviews

Review

Select Guide Rating

From the Back Cover

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 andcustomization of environments.
You will:

  • Understand operating system automation with Python
  • Package Python applications
  • Use Python as a DevOps console
  • Review Cloud automation with Python


View on Amazon

未经允许不得转载:Wow! eBook » DevOps in Python: Infrastructure as Python 2nd ed. Edition