DO374 - Ansible Automation: Advanced Development

• An understanding of basic Ansible concepts and YAML syntax
• Experience with Linux system administration
• Familiarity with developing playbooks and managing inventories

Audience

• Experienced automation developers
• DevOps engineers
• IT professionals managing large-scale enterprise automation

Ansible Automation is a powerful framework for IT automation, configuration management, and deployment at scale.

This instructor-led, live training (online or onsite) is aimed at intermediate-level DevOps professionals who wish to design, develop, and maintain advanced Ansible automation content and integrate it into larger IT operations.

By the end of this training, participants will be able to:

• Develop custom Ansible modules and plugins.
• Create complex playbooks with Jinja2, filters, and conditional logic.
• Integrate Ansible with APIs and version control systems.
• Structure content using Collections and Roles.

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of Ansible Automation Platform in sample enterprise scenarios.
• Guided exercises focused on development, integration, and testing of Ansible content.

Course Customization Options

• To request a customized training for this course based on your Ansible use cases, please contact us to arrange.

Advanced Ansible Playbook Development

• Working with variables, loops, conditionals, and handlers
• Using blocks, error handling, and tags
• Structuring complex playbooks

Jinja2 and Templating Techniques

• Advanced filters and lookups
• Creating dynamic templates
• Templating best practices

Custom Modules and Plugins

• Writing custom modules in Python
• Using filters, callbacks, and connection plugins
• Debugging and logging strategies

Collections and Roles

• Organizing content with roles
• Packaging and publishing Ansible Collections
• Versioning and dependency management

API Integration and External Services

• Calling REST APIs with URI module
• Working with cloud providers and external tools
• Secrets management integration

Testing and Validation

• Using ansible-lint, Molecule, and CI/CD pipelines
• Ensuring idempotency and reproducibility
• Static and dynamic analysis of Ansible code

Content Lifecycle and Version Control

• Managing code with Git and GitOps
• Change tracking and documentation
• CI/CD workflows with Ansible content

Summary and Next Steps