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DevOps in Python : Infrastructure as Python / by Moshe Zadka.

O'Reilly Online Learning: Academic/Public Library Edition Available online

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Format:
Book
Author/Creator:
Zadka, Moshe., Author.
Language:
English
Subjects (All):
Python (Computer program language).
Programming languages (Electronic computers).
Software engineering.
Management information systems.
Python.
Programming Languages, Compilers, Interpreters.
Software Engineering.
Software Management.
Local Subjects:
Python.
Programming Languages, Compilers, Interpreters.
Software Engineering.
Software Management.
Physical Description:
1 online resource (177 pages)
Edition:
1st ed. 2019.
Other Title:
Development Operations in Python
Infrastructure as Python
Place of Publication:
Berkeley, CA : Apress : Imprint: Apress, 2019.
System Details:
text file
Summary:
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. .
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.
Notes:
Includes bibliographical references.
ISBN:
9781484244333
1484244338
OCLC:
1107798790

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