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DevOps in Python: Infrastructure as Python in pdf

 

Download this PDF book: DevOps in Python: Infrastructure as Python by Moshe Zadka

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.

What You'll Learn

Understand operating system automation with Python

Package Python applications

Use Python as a DevOps console

Review Cloud automation with Python

Who This Book Is For

DevOps engineer. Site Reliability Engineer, or similar (including Platform, Production, and Systems), and whose organization uses Python.

Python began as a language to automate an operating system: the Amoeba. A typical Unix shell would be ill-suited since it had an API, not just textual file representations. The Amoeba OS is a relic now. However, Python continues to be a useful tool for automation of operations—the heart of typical DevOps work. 

It is easy to learn and easy to write readable code is a necessity when a critical part of the work is responding to a 4 a.m. alert and modifying some misbehaving program. It has powerful bindings to C and C++, the universal languages of the operating system—and yet is natively memory-safe, leading to few crashes at the automation layer. Finally, although not true when it was created, Python is one of the most popular languages. 

This means that it is relatively easy to hire people with Python experience and easy to get training materials and courses for people who need to learn on the job. This book guides you through how to take advantage of Python to automate operations. To get the most out of the book, you need to be somewhat familiar with Python. 

If you are new to Python, there are many great resources to learn it, including the official Python tutorial at docs.python.org. You also need to be somewhat familiar with Unix-like operating systems like Linux, especially how to use the command line.

About the Author

Moshe has been involved in the Linux community since 1998, helping in Linux “installation parties”. Moshe has been programming Python since 1999 and has contributed to the core Python interpreter. Moshe has been a DevOps/SRE since before those terms existed, caring deeply about software reliability, build reproducibility, and other such things. 

They have worked in companies as small as three people and as big as tens of thousands – usually in someplace around where software meets system administration.

About the book:

Publisher ‏ : ‎ Apress; 2nd ed. edition (June 30, 2022)

Language ‏ : ‎ English

Pages ‏ : ‎ 251 

File : PDF, 15MB

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