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Demystifying Ansible Automation Platform

You're reading from   Demystifying Ansible Automation Platform A definitive way to manage Ansible Automation Platform and Ansible Tower

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Product type Paperback
Published in Sep 2022
Publisher Packt
ISBN-13 9781803244884
Length 314 pages
Edition 1st Edition
Tools
Concepts
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Author (1):
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Sean Sullivan Sean Sullivan
Author Profile Icon Sean Sullivan
Sean Sullivan
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Table of Contents (21) Chapters Close

Preface 1. Part 1: Getting Ansible Automation Platform Up and Running
2. Chapter 1: Introduction to Ansible Automation Platform FREE CHAPTER 3. Chapter 2: Installing Ansible Automation Platform 4. Chapter 3: Installing Ansible Automation Platform on OpenShift 5. Chapter 4: Configuring Settings and Authentication 6. Part 2: Configuring AAP
7. Chapter 5: Configuring the Basics after Installation 8. Chapter 6: Configuring Role-Based Access Control 9. Chapter 7: Creating Inventory, and Other Inventory Pieces 10. Chapter 8: Creating Execution Environments 11. Chapter 9: Automation Hub Management 12. Chapter 10: Creating Job Templates and Workflows 13. Part 3: Extending Ansible Tower
14. Chapter 11: Creating Advanced Workflows and Jobs 15. Chapter 12: Using CI/CD to Interact with Automation Controller 16. Chapter 13: Integration with Other Services 17. Chapter 14: Automating at Scale with Automation Mesh 18. Chapter 15: Using Automation Services Catalog 19. Index 20. Other Books You May Enjoy

Launching jobs, monitoring, and interacting with workflows using CI/CD playbooks

Another use case for CI/CD is for launching jobs. Examples of this are scheduled jobs and integration tests. It is good practice to run workflows and jobs with test input and check the results. This can help detect changes that have happened in either the code or the environment.

The playbooks used in this section can be used as jobs in the Automation controller or in their respective Git service pipeline. The idea is to use the GitLab/GitHub workflows or a controller job in order to initiate them.

The playbook is a demonstration of what can be done.

The playbook takes several inputs as follows:

  • workflow_name: Name of the workflow to launch and monitor.
  • workflow_extra_vars_dict: Dictionary of extra variables to use when launching the workflow.
  • workflow_node_to_check: Identifier of the workflow node to wait on till it is finished. The data from the API will be returned from this...
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