Automating OpenShift Virtualization with Ansible

Managing virtual machines alongside containers can introduce operational complexity and manual overhead. By combining OpenShift Virtualization with Ansible automation, you can orchestrate your entire hybrid infrastructure through consistent, declarative code. This text-based course guides you from foundational virtualization concepts to advanced automation workflows. You will start by learning how to set up your environment, understanding the core architecture of OpenShift Virtualization, and configuring the Ansible Automation Platform within a cluster. Through structured written explanations and step-by-step configuration examples, you will master VM lifecycle management, automated migrations, and modern GitOps practices. What you'll learn: - Understand the foundational architecture of OpenShift Virtualization and Ansible integration - Deploy and configure the Ansible Automation Platform on an OpenShift cluster - Automate the provisioning, scaling, and management of virtual machines using Ansible playbooks - Perform automated virtual-to-virtual migrations with minimal downtime - Implement declarative infrastructure-as-code patterns using modern GitOps workflows - Configure persistent storage, networking, and security policies for virtualized workloads This course begins with essential terminology, basic cluster concepts, and architectural definitions before moving into practical automation playbooks and deployment strategies. You will read through detailed technical explanations, analyze real-world configuration files, and complete written exercises designed to build practical troubleshooting skills. This course is designed for system administrators, DevOps engineers, and cloud architects who are new to OpenShift Virtualization and want to leverage Ansible to automate their hybrid environments. No prior virtualization experience is required, though basic familiarity with Linux command-line concepts is helpful. Start reading today to unify your container and virtual machine management under a single automated framework.