Book Image

Python Network Programming

By : Abhishek Ratan, Eric Chou, Pradeeban Kathiravelu, Dr. M. O. Faruque Sarker
Book Image

Python Network Programming

By: Abhishek Ratan, Eric Chou, Pradeeban Kathiravelu, Dr. M. O. Faruque Sarker

Overview of this book

This Learning Path highlights major aspects of Python network programming such as writing simple networking clients, creating and deploying SDN and NFV systems, and extending your network with Mininet. You’ll also learn how to automate legacy and the latest network devices. As you progress through the chapters, you’ll use Python for DevOps and open source tools to test, secure, and analyze your network. Toward the end, you'll develop client-side applications, such as web API clients, email clients, SSH, and FTP, using socket programming. By the end of this Learning Path, you will have learned how to analyze a network's security vulnerabilities using advanced network packet capture and analysis techniques. This Learning Path includes content from the following Packt products: • Practical Network Automation by Abhishek Ratan • Mastering Python Networking by Eric Chou • Python Network Programming Cookbook, Second Edition by Pradeeban Kathiravelu, Dr. M. O. Faruque Sarker
Table of Contents (30 chapters)
Title Page
Copyright
About Packt
Contributors
Preface
Index

Benchmarking BGP implementations with bgperf


In this recipe, we aim to introduce BGP implementations with Python through a simple benchmarking project, as a simple exercise. We will benchmark a few BGP implementations with bgpert, a Python-based benchmarking tool for BGP implementations.

Getting ready

To install bgperf, clone the source code from its source repository:

$ git clone https://github.com/pradeeban/bgperf.git

For this recipe, we forked bgperf and did some minor fixes to make it work with Python 3. The parent project is at https://github.com/osrg/bgperf, which is aimed to work with Python 2, and at the time of writing does not support Python 3. A copy of the pradeeban/bgperf repository as of now has also been included in the source code bundle of this book in the folder 23_2_benchmark_with_bgperf for your ease of reference.

Once you have cloned our bgperf fork, go to the parent directory of bgperf:

$ cd bgperf

The following command installs the listed requirements. This includes Docker...