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

Product type Paperback

Published in May 2024

Publisher Packt

ISBN-13 9781837637867

Length 816 pages

Edition 1st Edition

Languages

Python

Tools

Ansible

Concepts

Network Automation

Authors (9):

Ken Celenza

John Anderson

Gary Snider

Jason Edelman

Brad Haas

Glenn Matthews

Bryan Culver

Christian Adell

Josh VanDeraa

+5 more

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Table of Contents (26) Chapters

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

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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

Summary

This chapter provided you with an overview of Nautobot APIs, including its REST APIs, GraphQL, and Webhooks. You saw the power of GraphQL over REST APIs in being able to ask Nautobot for the data you want. You got to work with both APIs in Python, but also saw how to use GraphiQL, a program that’s built into Nautobot that accelerates building and testing GraphQL queries. You also saw how Jinja templates embedded with Webhooks can eliminate middleware, which is often needed to transform data into the target destination’s format.

In the next chapter, we will explore Nautobot integrations within the NetDevOps ecosystem with a focus on pynautobot and the Nautobot Ansible collection.

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Table of Contents (26) Chapters