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.
Table of Contents (18 chapters)
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Network resource API

When we have network devices in production, each of the devices will have a certain state and information that you would like to keep in a persistent location so that you can easily retrieve them later on. This is often done in terms of storing data in a database. We saw many examples of such information storage in the monitoring chapters.

However, we would not normally give other non-network administrative users who might want this information direct access to the database; nor would they want to learn all the complex SQL query language. For these cases, we can leverage Flask and the Flask-SQLAlchemy extension of Flask to give them the necessary information via a network API.

You can learn more about Flask-SQLAlchemy at:


SQLAlchemy and the Flask-SQLAlchemy extension are a database abstraction and object-relational mapper, respectively. It's a fancy...