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DevOps in Python

Infrastructure as Python

  • Book
  • © 2022
  • Latest edition

Overview

Authors:
  1. Moshe Zadka

    1. Belmont, USA

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  • Covers parametrizing Terraform, unit-testing DevOps code, and using Jupyter to increase development speed
  • Covers the AWS API, and the Kubernetes API, and how to automate Docker container image building and running
  • Written by someone using Python for DevOps over the last twenty years

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Table of contents (15 chapters)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. Installing Python

    • Moshe Zadka
    Pages 1-6

  3. Packaging

    • Moshe Zadka
    Pages 7-40

  4. Interactive Usage

    • Moshe Zadka
    Pages 41-51

  5. OS Automation

    • Moshe Zadka
    Pages 53-65

  6. Testing

    • Moshe Zadka
    Pages 67-95

  7. Text Manipulation

    • Moshe Zadka
    Pages 97-110

  8. HTTPX

    • Moshe Zadka
    Pages 111-122

  9. Cryptography

    • Moshe Zadka
    Pages 123-138

  10. Paramiko

    • Moshe Zadka
    Pages 139-148

  11. SaltStack

    • Moshe Zadka
    Pages 149-166

  12. Ansible

    • Moshe Zadka
    Pages 167-174

  13. Containers

    • Moshe Zadka
    Pages 175-186

  14. Amazon Web Services

    • Moshe Zadka
    Pages 187-200

  15. Kubernetes

    • Moshe Zadka
    Pages 201-224

  16. Terraform

    • Moshe Zadka
    Pages 225-230

  17. Back Matter

    Pages 231-234
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Keywords

About this book

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.











Authors and Affiliations

  • Belmont, USA

    Moshe Zadka

About the author

Moshe has been involved in the Linux community since 1998, helping in Linux “installation parties”. Moshe has been programming Python since 1999 and has contributed to the core Python interpreter. Moshe has been a DevOps/SRE since before those terms existed, caring deeply about software reliability, build reproducibility, and other such things. They have worked in companies as small as three people and as big as tens of thousands – usually in someplace around where software meets system administration.

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