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Practical Network Automation

You're reading from   Practical Network Automation A beginner's guide to automating and optimizing networks using Python, Ansible, and more

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Product type Paperback
Published in Dec 2018
Publisher Packt
ISBN-13 9781789955651
Length 226 pages
Edition 2nd Edition
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Author (1):
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Abhishek Ratan Abhishek Ratan
Author Profile Icon Abhishek Ratan
Abhishek Ratan
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Table of Contents (9) Chapters Close

Preface 1. Fundamental Concepts of Network Automation FREE CHAPTER 2. Python Automation for Network Engineers 3. Ansible and Network Templatizations 4. Using Artificial Intelligence in Operations 5. Web Framework for Automation Triggers 6. Continual Integration 7. Assessment 8. Other Books You May Enjoy

Application and use cases

As mentioned, AI in operations can be used in every possible aspect, right from identification of a given task to auto-remediation of the task.

Here are some of the areas where AI helps in the optimization of operations:

  • Identifying the correct set of alerts: As we have lots of infrastructure devices, we rely on SNMP traps or Syslog to gather meaningful insights for any device. There are times when we get hundreds of traps for a particular office or multiple devices, and, as an engineer it becomes very hard to troubleshoot and quickly identify the actual set of problems. As part of data collection and data analytics, using AI, there can be a correlation that can be performed to identify an actual set of problems from multiple alerts. A typical scenario that is tackled through this approach is when there is a power outage on a certain office.

    In the...

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