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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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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

Job scheduler: Celery Beat

Nautobot jobs can be scheduled to run at regular intervals and optionally require approval to run. To accomplish this, Nautobot uses Celery Beat, the scheduling component of Celery. Scheduled jobs are stored in the database and a separate process, called the beat process, monitors the database for changes to the schedule. When a scheduled job is due to run, the beat process places the job in the Celery queue to be picked up by a worker. You have to ensure that only one beat scheduler is running at a time or you will end up with duplicated tasks.

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