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DevOps in Python = infrastructure as...

Zadka, Moshe.

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DevOps in Python = infrastructure as Python /

Record Type:	Electronic resources : Monograph/item
Title/Author:	DevOps in Python/ by Moshe Zadka.
Reminder of title:	infrastructure as Python /
Author:	Zadka, Moshe.
Published:	Berkeley, CA :Apress : : 2019.,
Description:	xvi, 169 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Computer software - Development -
Online resource:	https://doi.org/10.1007/978-1-4842-4433-3
ISBN:	9781484244333

DevOps in Python = infrastructure as Python /
Zadka, Moshe.

DevOps in Pythoninfrastructure as Python /[electronic resource] :by Moshe Zadka. - Berkeley, CA :Apress :2019. - xvi, 169 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9781484244333

Standard No.: 10.1007/978-1-4842-4433-3doiSubjects--Topical Terms:

559840
Computer software
--Development

LC Class. No.: QA76.76.C69 / Z33 2019

Dewey Class. No.: 004.36

DevOps in Python = infrastructure as Python /
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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.
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.
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