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Mastering Python Networking

Mastering Python Networking - Third Edition

By : Eric Chou
4.3 (24)
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Mastering Python Networking

Mastering Python Networking

4.3 (24)
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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16
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Index

Azure Cloud Networking

As we saw in Chapter 10, AWS Cloud Networking, cloud-based networking helps us connect our organization's cloud-based resources. A virtual network (VNet) can be used to segment and secure our virtual machines. It can also connect our on-premise resources to the cloud. As the first pioneer in this space, AWS is often regarded as the market leader, with the biggest market share. In this chapter, we will look at another important public cloud provider, Microsoft Azure, with a focus on their cloud-based network products.

Microsoft Azure originally started as a project codenamed "Project Red Dog" in 2008 and was publicly released on February 1, 2010. At the time, it was named "Windows Azure" before it was renamed to "Microsoft Azure" in 2014. Since AWS released its first product, S3, in 2006, they essentially had a 6-year lead over Microsoft Azure. Attempting to catch up with AWS was no small task, even for a company with Microsoft...

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