Kubernetes training for Windows-oriented teams adopting on-prem VKS

We offer private, instructor-led training for Windows-oriented operations engineers who need practical Kubernetes capability for on-prem VKS in restricted or air-gapped environments.

Your team understands its infrastructure and service-management procedures. Cloud-based examples leave local operating decisions unexplained, including image availability, network paths, storage, permissions, and approved tools.

LearnKube connects familiar support tasks to Kubernetes resources through a representative service. Your engineers will practice diagnosis against the access and infrastructure boundaries of the intended environment.

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.
  • Operate a representative workload by understanding containers, Pods, and controllers, so engineers can identify the resource responsible for application behavior.
  • Preserve approved artifact access by examining image locations, pull credentials, and deployment configuration, so workloads can start within the environment's connectivity constraints.
  • Diagnose failures across layers by inspecting workload events, network paths, and storage status, so operators distinguish application faults from platform or infrastructure problems.
  • Define the support boundary by documenting VKS, Kubernetes, and infrastructure responsibilities, so actions and escalations match the access available to the team.

Kubernetes separates control-plane and node responsibilities from the lifecycle of application workloads. On-prem VKS adds a specific environment in which engineers must apply those concepts. Access to private image registries, local network services, and storage cannot be assumed from a cloud demonstration. The team needs to connect each operation to its permitted tools and infrastructure.

I start with what an operator can inspect and change in the actual environment. Commands that work against a local administrator account do not establish the permissions, image sources, or support boundaries of on-prem VKS.

— Daniele Polencic, LearnKube founder and Kubernetes instructor

Current task or requirementNew concept or decisionPractice
Inspect a running servicePods, containers, and controllersTrace workload status
Supply application softwareApproved images and registriesDiagnose an image pull
Reach infrastructure servicesCluster and external network pathsTrace a dependency connection
Resolve an operational incidentAccess and support boundariesIdentify the responsible team

We propose a workshop that starts with the team's infrastructure experience and the actual VKS environment. The examples identify permitted access, approved artifact sources, network services, and storage interfaces.

The exercises explain Kubernetes foundations within those boundaries. For restricted environments, the proposed setup uses agreed local dependencies rather than assume public registries, unrestricted downloads, or cloud-admin access.

This proposed agenda gives container and Linux concepts room at the start. It then connects Kubernetes resources to the team's operational tools and support responsibilities.

Day 1

We introduce Linux container processes, images, configuration, and volumes before Pods, Deployments, and Services. You will connect probes and rollout status to familiar service-health questions.

  • Inspect and deploy a representative service from an approved image source.
  • Diagnose a startup or readiness failure from container logs and Pod events.

Day 2

You will use Helm and compare Kustomize for deployment configuration. We explain the control plane, kubelet, and reconciliation while mapping duties between the selected VKS setup and infrastructure operators.

  • Prepare a deployment with explicit image and configuration dependencies.
  • Observe workload replacement and identify the component responsible for each action.

Day 3

We connect DNS, Services, ingress, and network policies to the environment's actual network interfaces. You will discuss service mesh use cases and inspect scheduling requirements against available nodes.

  • Trace an application request through the local traffic path.
  • Diagnose a blocked dependency or a workload with no suitable placement.

Day 4

You will examine local storage provisioners, secrets, and persistent data. We cover autoscaling signals, authentication, RBAC, and the operational limits of the access granted to the team.

  • Restore a sample application's access to required data after Pod replacement.
  • Inspect a denied operation and determine the correct support or permission request.

Your VKS configuration, connectivity constraints, and operational tooling can shape the agenda. Get in touch to tailor the workshop to your on-prem VKS adoption.

When an operator treats every failure as a host-service problem, the instructor can trace a workload through its image, Pod, and controller. Your team can identify the appropriate evidence before changing infrastructure or escalating the incident.

The interactivity and engagement, and walking away with a lot more confidence in k8s

— Alex, Consultant at F5.

Tell us which VKS environment your team will operate, what connectivity and tooling constraints apply, and which duties it must perform. We will recommend exercises around those boundaries.