Book Image

Mastering Python Networking - Third Edition

By : Eric Chou
Book Image

Mastering Python Networking - Third 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 Mastering Python Networking, Third edition, 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 new edition is completely revised and updated to work with Python 3. In addition to new chapters on network data analysis with ELK stack (Elasticsearch, Logstash, Kibana, and Beats) and Azure Cloud Networking, it includes updates on using newer libraries such as pyATS and Nornir, as well as Ansible 2.8. Each chapter is updated with the latest libraries with working examples to ensure compatibility and understanding of the concepts. Starting with a basic overview of Python, the book teaches you how it can interact with both legacy and API-enabled network devices. You will learn to leverage high-level Python packages and frameworks to perform network automation tasks, monitoring, management, and enhanced network security followed by Azure and AWS Cloud networking. Finally, you will use Jenkins for continuous integration as well as testing tools to verify your network.

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Table of Contents (18 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Get in touch
1
Review of TCP/IP Protocol Suite and Python
Review of TCP/IP Protocol Suite and Python
An overview of the internet
The OSI model
Client-server model
Network protocol suites
Python language overview
Summary
Free Chapter
2
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
The Netmiko library
The Nornir framework
Summary
3
APIs and Intent-Driven Networking
APIs and Intent-Driven Networking
Infrastructure-as-code
The Cisco API and ACI
Cisco Meraki controller
The Python API for Juniper Networks
The Arista Python API
VyOS example
Other libraries
Summary
4
The Python Automation Framework – Ansible Basics
The Python Automation Framework – Ansible Basics
Ansible – a more declarative framework
A quick Ansible example
The Advantages of Ansible
The Ansible architecture
Ansible networking modules
The Ansible Cisco example
Ansible 2.8 playbook example
The Ansible Juniper example
The Ansible Arista example
Summary
5
The Python Automation Framework – Beyond Basics
The Python Automation Framework – Beyond Basics
Lab preparation
Ansible conditionals
Ansible loops
Templates
Group and host variables
The Ansible Vault
The Ansible include and roles
Writing your own custom module
Summary
6
Network Security with Python
Network Security with Python
The lab setup
Python Scapy
Access lists
The Syslog search
Other tools
Further reading
Summary
7
Network Monitoring with Python – Part 1
Network Monitoring with Python – Part 1
Lab setup
SNMP
Python for data visualization
Python for Cacti
Summary
8
Network Monitoring with Python – Part 2
Network Monitoring with Python – Part 2
Graphviz
Flow-based monitoring
ntop traffic monitoring
Summary
9
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
Authentication and authorization
Running Flask in containers
Summary
10
AWS Cloud Networking
AWS Cloud Networking
AWS setup
AWS network overview
Virtual private cloud
Direct Connect and VPN
Network scaling services
Other AWS network services
Summary
11
Azure Cloud Networking
Azure Cloud Networking
Azure and AWS network service comparison
Azure setup
Azure administration and APIs
Azure global infrastructure
Azure virtual networks
VNet routing
Azure VPNs
Azure ExpressRoute
Azure Network Load Balancers
Other Azure network services
Summary
12
Network Data Analysis with Elastic Stack
Network Data Analysis with Elastic Stack
What is the Elastic Stack?
Lab topology
Elastic Stack as a Service
First End-to-End example
Elasticsearch with a Python client
Data ingestion with Logstash
Data ingestion with Beats
Search with Elasticsearch
Data visualization with Kibana
Summary
13
Working with Git
Working with Git
Content management considerations and Git
Introduction to Git
Setting up Git
Git usage examples
Git branch
Git with Python
Automating configuration backup
Collaborating with Git
Summary
14
Continuous Integration with Jenkins
Continuous Integration with Jenkins
The traditional change management process
An introduction to continuous integration
Installing Jenkins
Jenkins example
Jenkins with Python
Continuous integration for networking
Summary
15
Test-Driven Development for Networks
Test-Driven Development for Networks
Test-driven development overview
Topology as code
Writing tests for networking
pytest Integration with Jenkins
pyATS and Genie
Summary
16
Other Books You May Enjoy
Other Books You May Enjoy
17
Index
Index

Running Flask in containers

Containers have become very popular in the last few years. They offer more abstractions and virtualization beyond hypervisor-based virtual machines. An in-depth discussion of containers is beyond the scope of this book. For interested readers, we will offer a simple example of how we can run our Flask app in a Docker container.

We will build our example based on the free DigitalOcean Docker tutorial on building containers on Ubuntu 18.04 machines (https://www.digitalocean.com/community/tutorials/how-to-build-and-deploy-a-flask-application-using-docker-on-ubuntu-18-04). If you are new to containers, I would highly recommend that you go through that tutorial and return to this section after.

Let's make sure Docker is installed:

$ sudo docker --version
Docker version 19.03.2, build 6a30dfc

We will make a directory named TestApp to house our code:

$ mkdir TestApp
$ cd TestApp/

In the directory, we will make another...

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