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Mastering Python Networking

You're reading from   Mastering Python Networking Your one stop solution to using Python for network automation, DevOps, and SDN

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781784397005
Length 446 pages
Edition 1st Edition
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Concepts
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Toc

Table of Contents (22) Chapters Close

Title
Humble Bundle
Credits
Foreword
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Review of TCP/IP Protocol Suite and Python Language FREE CHAPTER 2. Low-Level Network Device Interactions 3. API and Intent-Driven Networking 4. The Python Automation Framework - Ansible Basics 5. The Python Automation Framework - Ansible Advance Topics 6. Network Security with Python 7. Network Monitoring with Python - Part 1 8. Network Monitoring with Python - Part 2 9. Building Network Web Services with Python 10. OpenFlow Basics 11. Advanced OpenFlow Topics 12. OpenStack, OpenDaylight, and NFV 13. Hybrid SDN

Greenfield deployment


A greenfield deployment, or building a network from scratch, is perhaps the easiest in terms of co-exist an SDN OpenFlow network with traditional network. The only interaction between your SDN network to traditional network equipment will almost only be at the edge, which in today's world, almost always uses BGP as the exchange protocol. Your external facing node will be using BGP, such as what we have seen with the Ryu BGP library, while internally you are free to use any type of connectivity and topology you wish. If you already have a way to isolate your datacenter network with this approach, in the case of a greenfield deployment you can use the same method. If you use a bottom up approach, you can start by calculating the amount of compute resource you need, tally it up to the number of racks, and determine the number of top of rack switches as a starting point. Then calculate the number of over subscription, if any, at each of the aggregation layers, leaves, spines...

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