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Network Automation with Nautobot

You're reading from   Network Automation with Nautobot Adopt a network source of truth and a data-driven approach to networking

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Product type Paperback
Published in May 2024
Publisher Packt
ISBN-13 9781837637867
Length 816 pages
Edition 1st Edition
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Authors (9):
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Ken Celenza Ken Celenza
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Ken Celenza
John Anderson John Anderson
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John Anderson
Gary Snider Gary Snider
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Gary Snider
Jason Edelman Jason Edelman
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Jason Edelman
Brad Haas Brad Haas
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Brad Haas
Glenn Matthews Glenn Matthews
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Glenn Matthews
Bryan Culver Bryan Culver
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Bryan Culver
Christian Adell Christian Adell
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Christian Adell
Josh VanDeraa Josh VanDeraa
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Josh VanDeraa
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Toc

Table of Contents (26) Chapters Close

Preface 1. Part 1: Introduction to Source of Truth and Nautobot
2. Chapter 1: Introduction to Nautobot FREE CHAPTER 3. Chapter 2: Nautobot Data Models 4. Part 2: Getting Started with Nautobot
5. Chapter 3: Installing and Deploying Nautobot 6. Chapter 4: Understanding the User Interface and Bootstrapping Nautobot 7. Chapter 5: Configuring Nautobot Core Data Models 8. Chapter 6: Using Nautobot’s Extensibility Features 9. Chapter 7: Managing and Administering Nautobot 10. Part 3: Network Automation with Nautobot
11. Chapter 8: Learning about Nautobot APIs – REST, GraphQL, and Webhooks 12. Chapter 9: Understanding Nautobot Integrations for NetDevOps Pipelines 13. Chapter 10: Embracing Infrastructure as Code with Nautobot, Git, and Ansible 14. Chapter 11: Automating Networks with Nautobot Jobs 15. Chapter 12: Data-Driven Network Automation Architecture 16. Part 4: Nautobot Apps
17. Chapter 13: Learning about the Nautobot App Ecosystem 18. Chapter 14: Intro to Nautobot App Development 19. Chapter 15: Building Nautobot Data Models 20. Chapter 16: Automating with Nautobot Apps 21. Index 22. Other Books You May Enjoy Appendix 1: Nautobot Architecture 1. Appendix 2: Integrating Distributed Data Sources of Truth with Nautobot 2. Appendix 3: Performing Config Compliance and Remediation with Nautobot

Conventions used

There are a number of text conventions used throughout this book.

Code in text: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: “In the device management section, search for the WayneEnt_FW1 firewall.”

A block of code is set as follows:

devices_url = "https://demo.nautobot.com/api/dcim/devices/"# adds ams01-leaf-11 to the location AMS01
r = session.post(devices_url, data=json.dumps(payload))
# the UUID of the device will be saved for the next API call
device_id = r.json()["id"]

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

payload = {        "name": "ams01-leaf-11", 
       "device_type": "74cf95a8-4233-46b9-a740-fba4f5dc88d3", 
       "status": "9f38bab4-4b47-4e77-b50c-fda62817b2db", 
       "role": "869267d8-7d75-4bd3-8a9e-5e6adcf200f6", 
       "tenant": "1f7fbd07-111a-4091-81d0-f34db26d961d", 
       "platform": "f48fd9e2-45c5-4c2f-aa54-28964edb3e1e", 
      "location": "9e39051b-e968-4016-b0cf-63a5607375de" 
}

Bold: Indicates a new term, an important word, or words that you see onscreen. For instance, words in menus or dialog boxes appear in bold. Here is an example: “Click on the Interfaces tab; if one does not exist already, you can click Add Components | Add Interface.”

Tips or important notes

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