Course Outline

Introduction

Overview of Red Hat Ansible Automation Platform Features and Architecture

  • Reviewing fundamental Ansible concepts and principles
  • Understanding core Ansible contents and resources

Installing and Setting Up Red Hat Ansible Automation Platform

  • Prerequisites for Ansible installation
  • Upgrading the current Ansible version

Configuring Red Hat Ansible Automation Platform

  • Performing advanced environment configuration methods
  • Working with higher-level Ansible CLI commands

Running Ansible Playbooks and Practicing Components Delegation

  • Executing and managing specific use cases for tasks and plays

Leveraging Re-usable Ansible Artifacts and Automating Complex Tasks with Inventory

Handling Data Interaction Between Ansible Tools and Systems

In-Depth Usage of Traditional Ansible Components and Ad-Hoc Commands

Utilizing Advanced Ansible Automation Syntax with YAML

  • Managing unsafe or raw data strings
  • Using YAML anchors and aliases for increased flexibility

Manipulating Complex Data and Transforming String Functionalities in Ansible

Working with Expandable Ansible Plugin Architecture

  • Types of Ansible plugins and how to maximize their uses

Employing Advanced Playbook Keywords and Command-Line Tools of Ansible

Overview of Complex Module Operations with Red Hat Ansible

Managing and Coordinating Ansible Rolling Updates

Accessing Red Hat Ansible Tower Using Ansible Automation Platform

Integrating Ansible with Red Hat Advanced Cluster Management

Interacting with RESTful APIs using Playbooks and Tower

Automating Build Pipelines and Streamlining Workflows in Ansible Automation Platform

Developing CI/CD Approaches with Ansible Automation Platform and Tower

Creating and Writing Custom Modules and Plugins for Ansible Development Projects

  • Adding and optimizing local modules and plugins
  • Conventions and best practices for Ansible modules development

Operating Red Hat Ansible Automation Platform with Python 3.x

Debugging Modules and Tips for Documentation Formatting

Overview of Ansible Modules Development in External Platforms

  • Guidelines for Ansible Automation in Microsoft, AWS, and more

Testing Ansible with Efficient Methods and Monitoring Module Lifecycles

  • Advanced development practices for other Ansible resources and utilities

Maximizing the Python API of Red Hat Ansible Automation Platform

Working with Ansible Galaxy and Employing Metadata Structures

Leveraging Public Cloud Services in Alignment with Ansible

Deploying Cloud-Native Applications Using Ansible Automation

  • Migrating to a cloud-native platform with Ansible
  • Executing advanced Red Hat OpenShift implementations

Automating Networks with Ansible and Responding to Dynamic Operations Workload

  • Working with Ansible network modules and parsing Ansible data
  • Managing timeout, proxy, and other issues
  • Practicing virtualization and containerization methods

Maintaining and Administering Ansible Automation Platform and Components

Demonstrating the Most Common Automation Cases to the Organization

Troubleshooting Red Hat Ansible Automation Platform

Summary and Conclusion

Requirements

  • Background in Linux system administration and CLI
  • Experience with basic Ansible automation tasks
  • Proficiency in YAML programming syntax
  • An understanding of IT infrastructure and workflows
  • Basic knowledge of Python programming language

Audience

  • DevOps Engineers
  • Developers
  • SysOps Administrators
  35 Hours
 

Number of participants


Starts

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Dates are subject to availability and take place between 09:30 and 16:30.
Open Training Courses require 5+ participants.

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