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Ansible for Real-Life Automation

You're reading from  Ansible for Real-Life Automation

Product type Book
Published in Sep 2022
Publisher Packt
ISBN-13 9781803235417
Pages 480 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Gineesh Madapparambath Gineesh Madapparambath
Profile icon Gineesh Madapparambath

Table of Contents (22) Chapters

Preface 1. Part 1: Using Ansible as Your Automation Tool
2. Chapter 1: Ansible Automation – Introduction 3. Chapter 2: Starting with Simple Automation 4. Chapter 3: Automating Your Daily Jobs 5. Chapter 4: Exploring Collaboration in Automation Development 6. Part 2: Finding Use Cases and Integrations
7. Chapter 5: Expanding Your Automation Landscape 8. Chapter 6: Automating Microsoft Windows and Network Devices 9. Chapter 7: Managing Your Virtualization and Cloud Platforms 10. Chapter 8: Helping the Database Team with Automation 11. Chapter 9: Implementing Automation in a DevOps Workflow 12. Chapter 10: Managing Containers Using Ansible 13. Chapter 11: Managing Kubernetes Using Ansible 14. Chapter 12: Integrating Ansible with Your Tools 15. Chapter 13: Using Ansible for Secret Management 16. Part 3: Managing Your Automation Development Flow with Best Practices
17. Chapter 14: Keeping Automation Simple and Efficient 18. Chapter 15: Automating Non-Standard Platforms and Operations 19. Chapter 16: Ansible Automation Best Practices for Production 20. Index 21. Other Books You May Enjoy

Introduction to Red Hat AAP

So far, you have learned how to use Ansible, develop playbooks, create roles, use content collections, and more for your use cases. Anyone can install and use Ansible in their workstation or some random servers in an environment and use them for their automation use cases. However, there won’t be any standardization, traces, or accountability as each person works on their methods and practices. This will result in the following challenges in the organization:

  • Individuals work in silos, which will result in no collaboration in the workplace.
  • Automation artifacts (playbooks, roles, and collections) are not shared between individuals or teams.
  • No logging or auditing options will be available since the automation is running on an individual’s workstation or some random servers.
  • Less control over who can execute the playbooks or automated jobs.
  • Difficulty keeping secrets and credentials.
  • Lack of job scheduling and monitoring...
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