國立虎尾科技大學 |

DevOps in Python = Infrastructure as Python /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	DevOps in Python/ by Moshe Zadka.
其他題名:	Infrastructure as Python /
作者:	Zadka, Moshe.
面頁冊數:	XVII, 234 p. 3 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	IT in Business. -
電子資源:	https://doi.org/10.1007/978-1-4842-7996-0
ISBN:	9781484279960

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

DevOps in PythonInfrastructure as Python /[electronic resource] :by Moshe Zadka. - 2nd ed. 2022. - XVII, 234 p. 3 illus.online resource.

Chapter 1: Installing Python -- Chapter 2: Packaging -- Chapter 3: Interactive usage -- Chapter 4: OS Automation -- Chapter 5: Testing -- Chapter 6: Text manipulation -- Chapter 7: Requests -> httpx -- Chapter 8: Cryptography -- Chapter 9: Paramiko -- Chapter 10: Salt Stack -- Chapter 11: Ansible -- Chapter 12: Containers -- Chapter 13: AWS -- Chapter 14: Kubernetes -- Chapter 15: Terraform.

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:

1064965
IT in Business.

LC Class. No.: QA76.73.P98

Dewey Class. No.: 005.133

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