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

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Summary

In this chapter, we started to move onto the path of building REST APIs for our network. We looked at different popular Python web frameworks, namely Django and Flask, and compared and contrasted the two. By choosing Flask, we are able to start small and expand on features by using Flask extensions.

In our lab, we used the virtual environment to separate the Flask installation base from our global site-packages. The lab network consists of four nodes, two of which we have designated as spine routers while the other two are designated as leaf routers. We took a tour of the basics of Flask and used the simple HTTPie client for testing our API setup.

Among the different setups of Flask, we placed special emphasis on URL dispatch as well as the URL variables because they are the initial logic between the requesters and our API system. We took a look at using Flask-SQLAlchemy...