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Mastering Python Networking

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

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Product type Paperback
Published in Jan 2020
Publisher Packt
ISBN-13 9781839214677
Length 576 pages
Edition 3rd Edition
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Author (1):
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Eric Chou Eric Chou
Author Profile Icon Eric Chou
Eric Chou
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Toc

Table of Contents (18) Chapters Close

Preface 1. Review of TCP/IP Protocol Suite and Python 2. Low-Level Network Device Interactions FREE CHAPTER 3. APIs and Intent-Driven Networking 4. The Python Automation Framework – Ansible Basics 5. The Python Automation Framework – Beyond Basics 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. AWS Cloud Networking 11. Azure Cloud Networking 12. Network Data Analysis with Elastic Stack 13. Working with Git 14. Continuous Integration with Jenkins 15. Test-Driven Development for Networks 16. Other Books You May Enjoy
17. Index

Summary

In this chapter, we explored ways to perform network monitoring via SNMP. We configured SNMP-related commands on network devices and used our network management VM with an SNMP poller to query the devices. We used the PySNMP module to simplify and automate our SNMP queries. We also learned how to save the query results in a flat file or database to be used for future examples.

Later in this chapter, we used two different Python visualization packages, Matplotlib and Pygal, to graph SNMP results. Each package has its distinct advantages. Matplotlib is a mature, feature-rich library that is widely used in data science projects. Pygal can natively generate SVG format graphs that are flexible and web-friendly. We saw how we can generate line and pie graphs that are relevant for network monitoring.

Toward the end of this chapter, we looked at an all-inclusive network monitoring tool named Cacti. It primarily uses SNMP for network monitoring, but we saw how we...

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