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)

Python multiprocessing library

The multiprocessing module is Python's standard library that is shipped with Python binaries, and it is available from Python 2.6. There's also the threading module, which allows you to spawn multiple threads, but they all share the same memory space. Multiprocessing comes with more advantages than threading. One of them is isolated memory space for each process, and it can take advantage of multiple CPUs and cores.

Getting started with multiprocessing

First, you need to import the module for your Python script:

import multiprocessing as mp

Then, wrap your code with a Python function; this will allow the process to target this function and mark it as a parallel execution.