Book Image

Mastering Python Networking

Book Image

Mastering Python Networking

Overview of this book

This book begins with a review of the TCP/ IP protocol suite and a refresher of the core elements of the Python language. Next, you will start using Python and supported libraries to automate network tasks from the current major network vendors. We will look at automating traditional network devices based on the command-line interface, as well as newer devices with API support, with hands-on labs. We will then learn the concepts and practical use cases of the Ansible framework in order to achieve your network goals. We will then move on to using Python for DevOps, starting with using open source tools to test, secure, and analyze your network. Then, we will focus on network monitoring and visualization. We will learn how to retrieve network information using a polling mechanism, ?ow-based monitoring, and visualizing the data programmatically. Next, we will learn how to use the Python framework to build your own customized network web services. In the last module, you will use Python for SDN, where you will use a Python-based controller with OpenFlow in a hands-on lab to learn its concepts and applications. We will compare and contrast OpenFlow, OpenStack, OpenDaylight, and NFV. Finally, you will use everything you’ve learned in the book to construct a migration plan to go from a legacy to a scalable SDN-based network.
Table of Contents (22 chapters)
Title
Humble Bundle
Credits
Foreword
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
12
OpenStack, OpenDaylight, and NFV

Python visualization


We gather network data for the purpose of gaining insight into our network. One of the best ways to know what the data means is to visualize them with graphs. This is true for almost all data, but especially true for time series data in the context of network monitoring. How much data was transmitted on the wire in the last week? What is the percentage of the TCP protocol among all of the traffic? These are values we can glean from using data-gathering mechanisms, such as SNMP, and visualize with some of the popular Python libraries.

In this section, we will use the data we collected from the last section on SNMP and use two popular Python libraries--Matplotlib and Pygal--to graph them.

Matplotlib

Matplotlib (http://matplotlib.org/) is a plotting library for the Python library and its NumPy mathematical extension. It can produce publication-quality figures, such as plots, histograms, and bar graphs with a few lines of code.

Note

NumPy is an extension of the Python programming...