DevOps in Python

Infrastructure as Python

  • Moshe Zadka

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Moshe Zadka
    Pages 1-6
  3. Moshe Zadka
    Pages 7-27
  4. Moshe Zadka
    Pages 29-38
  5. Moshe Zadka
    Pages 39-50
  6. Moshe Zadka
    Pages 51-70
  7. Moshe Zadka
    Pages 71-84
  8. Moshe Zadka
    Pages 85-94
  9. Moshe Zadka
    Pages 95-110
  10. Moshe Zadka
    Pages 111-119
  11. Moshe Zadka
    Pages 121-137
  12. Moshe Zadka
    Pages 139-145
  13. Moshe Zadka
    Pages 147-150
  14. Moshe Zadka
    Pages 151-163
  15. Back Matter
    Pages 165-169

About this book


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. 


Systems Unix Linux Docker Automation Infrastructure as Code Systems Administration Site Reliability Engineering Jupyter Requests Testing Ansible Salt Cloud computing Python DevOps

Authors and affiliations

  • Moshe Zadka
    • 1
  1. 1.BelmontUSA

Bibliographic information

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