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DevOps in Python = infrastructure as...
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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 : : 2022.,
Description:
xvii, 234 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Computer software - Development -
Online resource:
https://doi.org/10.1007/978-1-4842-7996-0
ISBN:
9781484279960
DevOps in Python = infrastructure as Python /
Zadka, Moshe.
DevOps in Python
infrastructure as Python /[electronic resource] :by Moshe Zadka. - Second edition. - Berkeley, CA :Apress :2022. - xvii, 234 p. :ill., digital ;24 cm.
Take advantage of Python to automate complex systems with readable code. This new edition will help you move from operations/system administration into easy-to-learn coding. You'll start by writing command-line scripts and automating simple DevOps-style tasks followed by creating reliable and fast unit tests designed to avoid incidents caused by buggy automation. You'll then move on to more advanced cases, like using Jupyter as an auditable remote-control panel and writing Ansible and Salt extensions. The updated information in this book covers best practices for deploying and updating Python applications. This includes Docker, modern Python packaging, and internal Python package repositories. You'll also see how to use the AWS API, and the Kubernetes API, and how to automate Docker container image building and running. Finally, you'll work with Terraform from Python to allow more flexible templating and customization of environments. You will: Understand operating system automation with Python Package Python applications Use Python as a DevOps console Review Cloud automation with Python.
ISBN: 9781484279960
Standard No.: 10.1007/978-1-4842-7996-0doiSubjects--Topical Terms:
559840
Computer software
--Development
LC Class. No.: QA76.73.P98 / Z33 2022
Dewey Class. No.: 005.133
DevOps in Python = infrastructure as Python /
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Take advantage of Python to automate complex systems with readable code. This new edition will help you move from operations/system administration into easy-to-learn coding. You'll start by writing command-line scripts and automating simple DevOps-style tasks followed by creating reliable and fast unit tests designed to avoid incidents caused by buggy automation. You'll then move on to more advanced cases, like using Jupyter as an auditable remote-control panel and writing Ansible and Salt extensions. The updated information in this book covers best practices for deploying and updating Python applications. This includes Docker, modern Python packaging, and internal Python package repositories. You'll also see how to use the AWS API, and the Kubernetes API, and how to automate Docker container image building and running. Finally, you'll work with Terraform from Python to allow more flexible templating and customization of environments. You will: Understand operating system automation with Python Package Python applications Use Python as a DevOps console Review Cloud automation with Python.
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