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)
16
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17
Index

An introduction to continuous integration

Continuous Integration (CI) in software development is a way to publish small changes to the code base quickly, with built-in code tests and validation. The key is to classify the changes to be CI-compatible, that is, not overly complex, and small enough to be applied so that they can be backed out of easily. The tests and validation process are built in an automated way to gain a baseline of confidence that changes will be applied without breaking the whole system.

Before CI, changes to the software were often made in large batches and often required a long validation process (does that sound familiar?). It could be months before developers saw their changes in production, received feedback loops, and corrected any bugs. In short, the CI process aims to shorten the process from idea to change.

The general workflow typically involves the following steps:

  1. The first engineer takes a current copy of the code base and works...