DevOps in Python
Infrastructure as Python
Published on 4. June 2019
Book
Paperback/Softback
XVI, 169 pages
978-1-4842-4432-6 (ISBN)
Description
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.
What You'll Learn
Who This Book Is For
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.
What You'll Learn
- Use third party packages and create new packages
- Create operating system management and automation code in Python
- Write testable code, and testing best practices
- Work with REST APIs for web clients
Who This Book Is For
Junior or intermediate sysadmin who has picked up some bash and Python basics.
Reviews / Votes
"There is a lot of useful information in this short book. . if you are a Python user looking to get into DevOps, it should prove very useful." (Eugene Callahan and Yujia Zhang, Computing Reviews, December 23, 2021)More details
Edition
1st ed.
Language
English
Place of publication
Berkeley
United States
Target group
Professional and scholarly
Illustrations
2 s/w Abbildungen
XVI, 169 p. 2 illus.
Dimensions
Height: 25.4 cm
Width: 17.8 cm
Weight
454 gr
ISBN-13
978-1-4842-4432-6 (9781484244326)
DOI
10.1007/978-1-4842-4433-3
Schweitzer Classification
Other editions
New editions
Book
06/2022
2nd Edition
APress
€64.19
Shipment within 15-20 days
Additional editions
E-Book
06/2019
APress
€52.99
Available for download
Person
Moshe Zadka has been part of the open source community since 1995 and has been involved with DevOps since before the term became mainstream. One of two collaborators in the Facebook bootcamp Python class, he made his first core Python contributions in 1998, and is a founding member of the Twisted open source project. He has also given tutorials and talks at several recent PyCon conferences and contributed to Expert Twisted (Apress, 2019).
ted at "Production Engineers", which is what Facebook calls DevOps. Moshe has been part of the open source community since 1995, made his first core Python contributions in 1998 and is a founding member of the Twisted open source project. He has given tutorials or talks at several recent PyCon conferences and contributed to Expert Twisted (Apress, 2019) ted at "Production Engineers", which is what Facebook calls DevOps. Moshe has been part of the open source community since 1995, made his first core Python contributions in 1998 and is a founding member of the Twisted open source project. He has given tutorials or talks at several recent PyCon conferences and contributed to Expert Twisted (Apress, 2019)
Content
DevOps in Python
Chapter 1: Installing Python
Chapter 2: Interactive Usage
Chapter 3: Packaging
Chapter 4: Operating System AutomationChapter 5: Testing
Chapter 6: Text Manipulation
Chapter 8: Cryptography
Chapter 9: Paramiko
Chapter 10: Salt Stack
Chapter 11: Ansible
Chapter 12: Docker
Chapter 13: Amazon Web Services