DevOps in Python: infrastructure as Python
by ZADKA, MOSHE
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 exte…
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- Full title :DevOps in Python : infrastructure as Python / Moshe Zadka.
Summary
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.
Read More ↓Edition Statements
- Publication Date:2022
- Edition:2nd ed
Publication Statements
- Publisher(s):Apress
- Place of Publication:New York, NY
- Language:eng
- Publication Date:2022
Notes
Includes index.
The Physical Object
- Description:1 online resource (245 pages)
Edition Identifiers
- ISBN:9781484279960, 1484279964
- DOI:10.1007/978-1-4842-7996-0
- oclc:on1334597069
- LC Classification:QA76.73.P98
- Dewey Decimal:005.13/3
Table of Contents
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.
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