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Mastering Python Networking

Mastering Python Networking - Fourth Edition

By : Eric Chou
4.5 (89)
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Mastering Python Networking

Mastering Python Networking

4.5 (89)
By: Eric Chou

Overview of this book

Networks in your infrastructure set the foundation for deploying, maintaining, and servicing applications. Python is the ideal language for network engineers to explore tools that were previously available to systems engineers and application developers. Mastering Python Networking, Fourth edition, guides you on a Python-driven journey from traditional network engineering to modern network development. This new edition incorporates the latest Python features and DevOps frameworks. In addition to new chapters on introducing Docker containers and Python 3 Async IO for network engineers, each chapter is updated with the latest libraries and working examples to ensure compatibility and clarity 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 AWS and Azure cloud networking. You will use Git for code management, GitLab for continuous integration, and Python-based testing tools to verify your network. By the end of this book, you'll be a confident network developer capable of automating modern infrastructure using Python, DevOps practices, and cloud technologies.
Table of Contents (19 chapters)
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17
Other Books You May Enjoy
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Index

Network Monitoring with Python – Part 2

In Chapter 7, Network Monitoring with Python – Part 1, we used SNMP to query information from network devices. We did this using an SNMP manager to query the SNMP agent residing on the network device. The SNMP information is structured in a hierarchy format with a specific object ID as a way to represent the value of the object. Most of the time, the value we care about is a number, such as CPU load, memory usage, or interface traffic. We can graph this data against time to give us a sense of how the value has changed over time.

We can typically classify the SNMP approach as a pull method as we constantly ask the device for a particular answer. This method adds a burden to the device because it needs to spend a CPU cycle on the control plane to find answers from the subsystem, package the answer in an SNMP packet, and transport the answer back to the poller. If you have ever been to a family reunion where you have that one...

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Mastering Python Networking
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