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 custom
Table of ContentsChapter 1 (Installing Python)
Different ways to install Python:
• Compiling from source
• OS packages
• pyenv
Chapter 2 (Packaging) (31 pages – 11 new pages)
How pip works and how to build packages.
The following sections need to change
Section about pip (adds 4 pages)
• Add explanation about how the resolver works
• Explain pip-compile
Poetry and pipenv (changes 2 pages, adds 2 pages)
• Needs to be separated into two sections
• Poetry section updated to reflect changes in Poetry
• Pipenv section updated to reflect changes in Pipenv
4setup.py and wheel (rewritten, changes 1 page, adds 2 pages)
• python -m build and setup.cfg
• Add details about binary wheels and manylinux
• Show a complete example
Chapter 3: Interactive usage
How to use the interactive interpreter, other text-mode interactive consoles, and Jupyter.
Chapter 4: OS Automation (16 pages – 4 new pages)
Automating OS-related things like files and processes.
Section about files (2 pages added)
• Cover using struct to parse binary data
• Cover pathlib
New section: low-level networking (2 pages) Cover socket, socket options, and how it relates
to TCP networking.
5 Chapter 5: Testing (30 pages – 10 new pages)
Writing unit tests for DevOps code.
Section about testing files (4 pages added)
• Improve performance of file testing using tmpfs and preloading libraries
• Add information about temporary directory context manager
Section about testing networking (4 pages added)
• Show how to test httpx with the WSGI support
• Show how to test low-level socket networking with DI
Section about testing processes (2 pages changed)
• Mention run and Popen
• Show how to write tests with DI on run and Popen
6 Chapter 6: Text manipulation
How to work with text: searching, modifiying, formatting, etc.
Chapter 7: Requests -> httpx (rewritten – 10 new pages)
• Focus on httpx instead
• Cover async usage
Chapter 8: Cryptography
Symmetric and asymmetric encryption and digital signatures, and how to use them in DevOps
code.
Chapter 9: Paramiko
Using paramiko to automate SSH use.
Chapter 10: Salt Stack
Using salt stack and writing new modules.
Chapter 11: Ansible
Using ansible and writing new modules.
Chapter 12: Docker (5 new pages)
• Clean up examples – they are hard to read
• Show complete example of layering, not just talk in theory
• Show complete example of running, not just talk in theory
• Add section about how to build containers for Python applications
Chapter 13: AWS
Automating AWS using the boto3 library.
New: Chapter 14: Kubernetes (10 pages)
Chapter goal: Learn how to automate k8s with Python and how to run Python applications on k8s
• Packaging Python applications for kubernetes
– Using secrets
– Thinking in Pods
• Automating k8s from Python using the REST API
• Writing k8s operators with Python
New: Chapter 15: Terraform (5 pages)
• Using the Terraform Python CDK
• Generating Terraform JSON from Python
