DevOps in python : infrastructure as python / By Moshe Zadka.

By:

Zadka, Moshe

Contributor(s):

Material type: Text

TextPublication details: New York : Apress , 2022.Edition: 1st edDescription: xvi,169p. ; 25 cmISBN:

9781484244326

Subject(s):

Genre/Form:

Electronic books.

Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

005.768 1 ZADM

LOC classification:

QA76.73.P98

Online resources:

View this electronic item in O'Reilly Online Learning: Academic/Public Library Edition. An e-book available through full-text database.

Contents:

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.

In: Springer eBooksSummary: 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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Item type	Current library	Collection	Call number	Status	Barcode
Book	St Aloysius Institute of Management & Information Technology	MCA	005.768 ZADM (Browse shelf(Opens below))	Available	MCA17048

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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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