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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Test-driven development overview

The idea of TDD has been around for a while. American software engineer Kent Beck, among others, is typically credited with leading the TDD movement, along with agile software development. Agile software development requires very short build-test-deploy development cycles; all of the software requirements are turned into test cases. These test cases are usually written before the code is written, and the software code is only accepted when the test passes.

The same idea can be drawn in parallel with network engineering. For example, when we face the challenge of designing a modern network, we can break the process down into the following steps, from high-level design requirements to the network tests that we can deploy:

  1. We start with the overall requirement for the new network. Why do we need to design a new network, or part of a new network? Maybe it is for new server hardware, a new storage network, or a new microservice...