From Hyper-V applications to Kubernetes: training for Windows-oriented teams

We offer private, instructor-led training for Windows-oriented application and operations teams that need to assess Kubernetes workloads from services in Hyper-V VMs.

Your engineers know the guest environments and application installation requirements. Containerization still requires a compatible runtime and host, plus clear decisions about configuration and persistent data.

LearnKube uses a selected application to connect those requirements to images, Pods, and nodes. Your team will distinguish a packaging problem from a compatibility constraint.

Hands-on learning and the skills engineers take back to work.

Preview: course-wide figures are not yet available.

  • Hands-on learning
    Of instruction time spent on labs and challenges.
  • Troubleshooting confidence
    Of respondents report greater confidence diagnosing Kubernetes problems.
  • Relevant to your work
    Of respondents say the course addressed their engineering responsibilities.
  • Skills put into practice
    Of respondents applied their new skills at work within 90 days.
  • Assess a suitable workload by examining its operating-system dependencies, image, and node requirements, so the team can select a feasible container deployment.
  • Preserve configuration and state by defining credentials, mounts, and durable storage, so a replacement instance does not depend on changes inside an old guest.
  • Diagnose compatibility failures by inspecting image information, node labels, and container events, so engineers distinguish an unsupported runtime from an application error.
  • Assign remaining responsibilities by documenting application, Windows-node, and VM ownership, so services that remain outside Kubernetes still have clear support paths.

Hyper-V runs virtual machines with their own operating systems. A Kubernetes container depends on a compatible node and container runtime. Windows workloads need Windows nodes, and image compatibility affects whether their processes can start. The team must separate portable application code from services, drivers, or installation steps tied to the original guest.

I ask what the executable needs from Windows before we discuss replicas. A container image does not remove an operating-system dependency, and a Kubernetes manifest cannot make an incompatible runtime work on the destination node.

— Daniele Polencic, LearnKube founder and Kubernetes instructor

Current task or requirementNew concept or decisionPractice
Select the guest runtimeImage and node compatibilityInspect runtime requirements
Install service dependenciesRepeatable container imagesReview the image build
Preserve application filesPersistent storage and mountsReplace a stateful Pod
Support the remaining estateApplication and infrastructure boundariesMap an escalation path

We propose a workshop that starts with workload compatibility. Your team identifies which dependencies can fit a container and which still require a VM or another service.

The proposed labs use a compatible sample application. Windows-specific requirements determine which exercises need a Windows node and which concepts we can demonstrate on Linux. The agenda does not assume that every application moves unchanged.

This proposed agenda connects container fundamentals to your application requirements. We adapt the examples to the operating systems and capabilities of the destination.

Day 1

We compare VMs with containers and inspect image dependencies. You will connect a compatible application's startup behavior to Pods, Deployments, Services, and health probes.

  • Inspect a selected application's image and node requirements.
  • Deploy a compatible sample and diagnose an unsuccessful startup.

Day 2

You will use Helm and compare Kustomize for repeatable deployment configuration. We explain the control plane, kubelet, and controllers, including the distinction between node recovery and application replacement.

  • Create environment-specific configuration without changing the application image.
  • Observe workload recovery after a node becomes unavailable.

Day 3

We explain Pod networking, DNS, Services, and ingress, alongside external dependencies that remain on VMs. You will compare node selectors, affinity, and taints, with attention to operating-system requirements.

  • Diagnose a Pod whose placement rules select unsuitable capacity.
  • Trace a connection from the sample workload to an external dependency.

Day 4

You will examine configuration, secrets, and persistent storage against the selected runtime's capabilities. We cover autoscaling signals, authentication, RBAC, and the different responsibilities of application and node operators.

  • Verify that required configuration and data survive Pod replacement.
  • Apply load to a compatible stateless workload and observe replica behavior.

Your Windows dependencies, destination node options, and remaining VM responsibilities can shape the agenda. Get in touch to tailor the workshop to your Hyper-V application transition.

When an engineer expects a Windows-dependent image to run on a Linux node, the instructor can inspect its dependencies and placement requirements. The team can then distinguish a packaging change from application work that the transition still requires.

Asked what he liked most about a separate LearnKube course, Chris emphasized team-specific questions:

Ability to ask questions and apply what we're learning to the specific use cases of our org. Sal was great at fielding our questions and engaging with us.

— Chris, Software Engineer at Bluestaq.

Tell us which services run in Hyper-V VMs, what they require from Windows, and which team will own the destination. We will recommend a course focus that reflects those constraints.