OpenShift Virtualization Course: Learn Virtual Machines on Kubernetes and Cloud-Native Platforms
Virtualization continues to play a major role in modern IT infrastructure, while containers and Kubernetes have introduced new approaches to application deployment and infrastructure management. As organizations modernize their environments, many need to support traditional virtual machine workloads alongside newer cloud-native applications.
This OpenShift Virtualization Course introduces learners to the technologies and concepts behind running virtual machines within container platforms. The course focuses on how virtualization services can operate alongside Kubernetes workloads, creating an infrastructure environment where VMs and containers can coexist.
Learners explore the evolution of virtualization, OpenShift Virtualization architecture, Kubernetes-based VM management, infrastructure preparation, storage workflows, and practical installation procedures. Through hands-on labs, the course connects theoretical concepts with real infrastructure scenarios, making it suitable for learners interested in virtualization, Kubernetes, cloud computing, DevOps, and platform engineering.
Understanding the Evolution of Virtualization and Cloud-Native Infrastructure
Virtualization transformed traditional data centers by allowing multiple virtual machines to share the resources of physical servers. Instead of dedicating a complete physical machine to every application or operating system, organizations could create isolated virtual environments on shared infrastructure.
This approach provided greater flexibility in managing computing resources and became a core component of enterprise IT environments.
The growth of containers introduced another model for application deployment. Containers package applications and their dependencies into portable environments that can be deployed consistently across infrastructure. Kubernetes then emerged as a powerful orchestration platform for managing containerized workloads at scale.
Modern organizations often need both approaches. Existing enterprise applications may continue to operate inside virtual machines, while newer applications are developed and deployed as containers.
This creates the need for infrastructure capable of supporting both workloads. OpenShift Virtualization addresses this requirement by bringing virtual machine workloads into a Kubernetes-based environment.
The course begins by helping learners understand this evolution and why combining virtualization with cloud-native technologies has become increasingly relevant to modern infrastructure strategies.
Exploring OpenShift Virtualization Architecture
Understanding the architecture behind virtualization services is essential before working with virtual machines in a Kubernetes environment.
The course introduces learners to the components involved in managing virtualized workloads and explains how orchestration layers interact with infrastructure resources.
Students examine how different resources work together, including:
Compute resources
Storage resources
Networking components
Virtual machines
Kubernetes clusters
Virtualization services
Orchestration layers
In a traditional virtualization environment, administrators generally use virtualization management platforms to create and operate VMs. In a Kubernetes-oriented environment, virtualization becomes integrated with cloud-native orchestration concepts.
This architectural model allows organizations to manage virtual machines within an infrastructure that also supports containerized applications.
Learning these concepts gives students the foundation needed to understand how VM workloads interact with Kubernetes resources and how infrastructure components contribute to the overall operation of a virtualized environment.
Preparing Bare-Metal Infrastructure for Virtualization
Before deploying virtual machines, the underlying infrastructure must be prepared correctly. The course therefore includes practical labs focused on installation, environment preparation, and infrastructure configuration.
Students learn how virtualization components can be installed and how an environment can be prepared on bare-metal servers.
Working with bare-metal infrastructure provides useful insight into the relationship between physical hardware and virtualized workloads. Virtual machines ultimately depend on physical resources such as processors, memory, networking, and storage.
The practical preparation process helps learners understand the requirements that must be considered before deploying production-oriented workloads.
Topics explored through the practical labs include:
Preparing bare-metal servers
Installing virtualization components
Setting up the required environment
Preparing compute resources
Configuring infrastructure services
Preparing storage and networking
Verifying the environment before VM deployment
These hands-on activities allow learners to move beyond abstract virtualization concepts and understand how the underlying infrastructure must be organized to support virtual machine workloads.
Deploying Virtual Machines Inside Kubernetes Clusters
One of the central topics of the course is learning how to deploy and manage virtual machines within Kubernetes clusters.
Traditionally, virtual machines and containers have often been managed using different infrastructure platforms and operational workflows. OpenShift Virtualization provides an approach for bringing these workloads together within a Kubernetes-based environment.
Learners explore how a virtual machine can become part of a Kubernetes-managed infrastructure and how virtualization workflows can coexist with containerized applications.
This model can be particularly useful for organizations that are moving toward cloud-native infrastructure while still depending on existing VM-based applications.
Instead of immediately replacing traditional applications, organizations can maintain VM workloads while gradually adopting containers and Kubernetes.
The course demonstrates practical VM deployment workflows and helps learners understand the relationship between virtual machine resources and the Kubernetes cluster in which they operate.
This provides valuable knowledge for infrastructure professionals working in environments where traditional and cloud-native workloads must coexist.
Managing the Virtual Machine Lifecycle
Deploying a VM is only one part of virtualization management. Administrators also need to understand the complete virtual machine lifecycle and how workloads are managed throughout their operational existence.
The course provides hands-on exposure to VM lifecycle management within a Kubernetes-based environment. Learners explore how virtual machines can be created, deployed, configured, operated, and managed as infrastructure workloads.
Understanding lifecycle management is important because infrastructure requirements can change over time. Virtual machines may need different resources, configurations, storage arrangements, or operational states depending on the applications they support.
The course helps learners develop an understanding of workflows related to:
Creating virtual machines
Deploying VM workloads
Configuring virtual machine resources
Managing running VMs
Working with VM infrastructure
Understanding VM lifecycle operations
Integrating virtual machines with Kubernetes
These skills can be useful for system administrators, virtualization specialists, Kubernetes administrators, DevOps engineers, and cloud infrastructure professionals.
Working with Storage, Data Volumes, and External Sources
Storage is another major component of virtualized infrastructure. Virtual machines often require persistent storage for operating systems, applications, databases, configuration files, and other important data.
The course introduces learners to data volumes and external sources, demonstrating how storage workflows can be integrated into environments where virtual machines and containers operate together.
Students explore how storage resources interact with VM workloads and how data can be made available to applications running inside a hybrid infrastructure.
This is particularly important because compute and storage have different lifecycle requirements. A virtual machine may be stopped, restarted, recreated, or moved while its persistent data needs to remain available.
Learners therefore develop an understanding of storage concepts such as:
Data volumes
Persistent data
External sources
VM storage workflows
Storage integration
Infrastructure resource management
Hybrid VM and container environments
These concepts provide a practical foundation for understanding how virtualization platforms work with modern storage infrastructure and cloud-native resource management.
Integrating Virtual Machines with the Cloud-Native Ecosystem
The integration of virtual machines with Kubernetes represents an important development in modern infrastructure. Organizations adopting cloud-native technologies may still have large numbers of existing VM-based applications.
Rather than managing these workloads completely separately, Kubernetes-based virtualization provides a way to bring different application models into a more unified infrastructure environment.
The course introduces this concept through the OpenShift ecosystem and technologies associated with organizations such as Red Hat and the Cloud Native Computing Foundation (CNCF).
Learners gain insight into how virtualization can fit into broader cloud-native infrastructure strategies, including environments that contain both traditional applications and modern containerized services.
This knowledge is particularly relevant to organizations working with:
Hybrid infrastructure
Enterprise data centers
Kubernetes platforms
Cloud-native applications
Legacy application modernization
Infrastructure migration
DevOps environments
Platform engineering
Virtualization and container integration
Understanding this ecosystem helps learners see virtualization not as an isolated technology, but as part of a larger infrastructure strategy involving Kubernetes, containers, storage, networking, and automated orchestration.
Who Should Learn OpenShift Virtualization and Kubernetes VM Management?
This course is designed for learners and IT professionals who want to understand how virtual machines can operate within Kubernetes and modern container platforms. Its combination of foundational concepts and practical labs makes it suitable for people developing infrastructure skills as well as professionals expanding their existing knowledge.
The course can be especially useful for:
System administrators
Linux administrators
Kubernetes administrators
Cloud engineers
DevOps engineers
Infrastructure engineers
Virtualization professionals
Platform engineers
IT operations professionals
Cloud computing learners
OpenShift learners
Developers interested in infrastructure technologies
By completing the course, learners gain knowledge of OpenShift Virtualization, virtualization architecture inside Kubernetes, infrastructure preparation, bare-metal environments, VM deployment, VM lifecycle management, storage workflows, data volumes, and integration between traditional virtual machines and cloud-native workloads.
These skills can also provide a foundation for further learning in Kubernetes administration, OpenShift, cloud infrastructure, DevOps, virtualization management, hybrid cloud environments, and platform engineering.
