Book Image

Hands-On Enterprise Automation with Python

By : Bassem Aly
Book Image

Hands-On Enterprise Automation with Python

By: Bassem Aly

Overview of this book

Hands-On Enterprise Automation with Python starts by covering the set up of a Python environment to perform automation tasks, as well as the modules, libraries, and tools you will be using. We’ll explore examples of network automation tasks using simple Python programs and Ansible. Next, we will walk you through automating administration tasks with Python Fabric, where you will learn to perform server configuration and administration, along with system administration tasks such as user management, database management, and process management. As you progress through this book, you’ll automate several testing services with Python scripts and perform automation tasks on virtual machines and cloud infrastructure with Python. In the concluding chapters, you will cover Python-based offensive security tools and learn how to automate your security tasks. By the end of this book, you will have mastered the skills of automating several system administration tasks with Python.
Table of Contents (20 chapters)

Setting up the environment

OpenStack is a free and open source project, used with Infrastructure as a Service (IaaS), that can control your hardware resources in terms of CPU, memory, and storage and provide an open framework for many vendors to build and integrate plugins.

To set up our lab, I will use the latest OpenStack-rdo release (at the time of writing), Queens, and install it onto CentOS 7.4.1708. The installation steps are pretty straightforward, and can be found at https://www.rdoproject.org/install/packstack/.

Our environment consists of a machine that has 100 GB storage, 12 vCPU, and 32 GB of RAM, This server will contains the OpenStack controller, the compute and neutron roles on the same server. The OpenStack server is connected to the same switch that has our automation server and in same subnet. Note that this is not always the case in a production environment...