Book Image

Mastering Python Networking - Second Edition

By : Eric Chou

Book Image

Mastering Python Networking - Second Edition

By: Eric Chou

Overview of this book

Networks in your infrastructure set the foundation for how your application can be deployed, maintained, and serviced. Python is the ideal language for network engineers to explore tools that were previously available to systems engineers and application developers. In this second edition of Mastering Python Networking, you’ll embark on a Python-based journey to transition from traditional network engineers to network developers ready for the next-generation of networks. This book begins by reviewing the basics of Python and teaches you how Python can interact with both legacy and API-enabled network devices. As you make your way through the chapters, you will then learn to leverage high-level Python packages and frameworks to perform network engineering tasks for automation, monitoring, management, and enhanced security. In the concluding chapters, you will use Jenkins for continuous network integration as well as testing tools to verify your network. By the end of this book, you will be able to perform all networking tasks with ease using Python.

Preface

Who this book is for

What this book covers

To get the most out of this book

Free Chapter

Review of TCP/IP Protocol Suite and Python

Review of TCP/IP Protocol Suite and Python

An overview of the internet

Client-server model

Network protocol suites

Python language overview

Low-Level Network Device Interactions

Low-Level Network Device Interactions

The challenges of the CLI

Constructing a virtual lab

Python Pexpect library

The Python Paramiko library

APIs and Intent-Driven Networking

APIs and Intent-Driven Networking

Infrastructure as code

The Cisco API and ACI

The Python API for Juniper networks

The Arista Python API

Vendor-neutral libraries

The Python Automation Framework – Ansible Basics

The Python Automation Framework – Ansible Basics

A more declarative framework

A quick Ansible example

The advantages of Ansible

The Ansible architecture

Ansible networking modules

The Ansible Cisco example

The Ansible Juniper example

The Ansible Arista example

The Python Automation Framework – Beyond Basics

The Python Automation Framework – Beyond Basics

Ansible conditionals

Group and host variables

The Ansible Vault

The Ansible include and roles

Writing your own custom module

Network Security with Python

Network Security with Python

The Syslog search

Network Monitoring with Python – Part 1

Network Monitoring with Python – Part 1

Python for data visualization

Python for Cacti

Network Monitoring with Python – Part 2

Network Monitoring with Python – Part 2

Flow-based monitoring

Elasticsearch (ELK stack)

Building Network Web Services with Python

Building Network Web Services with Python

Comparing Python web frameworks

Flask and lab setup

Introduction to Flask

Network resource API

Network dynamic operations

Additional resources

AWS Cloud Networking

AWS Cloud Networking

AWS network overview

Virtual private cloud

Direct Connect and VPN

Network scaling services

Other AWS network services

Working with Git

Working with Git

Introduction to Git

Git usage examples

Git with Python

Automating configuration backup

Collaborating with Git

Continuous Integration with Jenkins

Continuous Integration with Jenkins

Traditional change-management process

Introduction to continuous integration

Installing Jenkins

Jenkins example

Jenkins with Python

Continuous integration for Networking

Test-Driven Development for Networks

Test-Driven Development for Networks

Test-driven development overview

Topology as code

More on Python testing

Writing tests for networking

Pytest in Jenkins

Other Books You May Enjoy

Other Books You May Enjoy

Leave a review - let other readers know what you think

Customer Reviews

5 star

0

4 star

0

3 star

0

2 star

0

1 star

0

Summary

In this chapter, we looked at test-driven development and how it can be applied to network engineering. We started with an overview of TDD; then we looked at examples of using the unittest and pytest Python modules. Python and simple Linux command-line tools can be used to construct various tests for network reachability, configuration, and security.

We also looked at how we can utilize testing in Jenkins, a continuous-integration tool. By integrating tests into our CI tool, we can gain more confidence in the sanity of our change. At the very least, we hope to catch any errors before our users do.

Simply put, if it is not tested, it is not trusted. Everything in our network should be programmatically tested as much as possible. As with many software concepts, test-driven development is a never-ending service wheel. We strive to have as much test coverage as possible...