DevOps in Python Infrastructure as Python

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 an...

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Bibliographic Details
Main Author: Zadka, Moshe
Format: eBook
Language:English
Published: Berkeley, CA Apress 2019, 2019
Edition:1st ed. 2019
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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245 0 0 |a DevOps in Python  |h Elektronische Ressource  |b Infrastructure as Python  |c by Moshe Zadka 
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505 0 |a 1: Installing Python -- 2: Interactive Uage -- 3: Packaging -- 4: Operating System Automation -- 5: Testing.-6: Text Manipulation -- 7: Requests -- 8: Cryptography -- 9: Paramiko -- 10: Salt Stack -- 11: Ansible -- Chapter 12: Docker -- Chapter 13: Amazon Web Services 
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520 |a 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.