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.
