Kubernetes training for customer platform implementation teams

We offer private, instructor-led training for infrastructure consultants who design, implement, and hand over Kubernetes platforms for customers.

Your team understands infrastructure components. Customer requirements must become connected platform decisions, with evidence that explains availability, access, data behavior, and continuing operating duties.

LearnKube uses a reference platform and workload to connect architecture choices to observable behavior and a customer acceptance discussion.

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.
  • Develop a reference design by connecting requirements to cluster and workload dependencies, so consultants can explain the reason for each choice.
  • Validate required behavior by examining failure, traffic, and storage conditions, so acceptance addresses more than a running control plane.
  • Diagnose implementation gaps by tracing resources to controllers and infrastructure, so the team can identify the component that needs correction.
  • Prepare operational handover by documenting ownership and rehearsing routine tasks, so the customer understands the platform it receives.

A customer platform combines Kubernetes with infrastructure-specific services. A control-plane topology addresses one set of failures, while storage binding links application placement to available volumes. Consultants must connect those mechanisms to the customer's requirements and operating model. A list of installed components does not establish the behavior of the combined system.

I ask the consultant to connect each architecture choice to a customer requirement and a verification step. If the team cannot explain how it will observe the promised behavior, the design still contains an assumption.

— Daniele Polencic, LearnKube founder and Kubernetes instructor

Customer task or requirementKubernetes decisionPractice
Define availability requirementsControl-plane and workload failure pathsCompare failure scenarios
Provide application storageProvisioning and placement constraintsInspect volume binding
Establish service connectivityNetwork and traffic integrationsTrace the reference route
Transfer platform operationAccess and ownership boundariesRehearse an operating task

Nutanix Professional Services consultants run customer workshops, prepare designs and implementation plans, deploy and upgrade Kubernetes platforms, validate results, and hand over operations.

For consultants responsible for that work, we recommend a four-day workshop connecting architecture to failure behavior and acceptance evidence. We focus on Kubernetes decisions that consultants can apply alongside their product expertise.

This proposed agenda carries one reference workload through the platform design. Consultants practice explaining design choices and verifying the behavior required for customer acceptance.

Day 1

We connect containers, Deployments, Services, probes, and rollout controls to the reference workload. You will distinguish application availability from infrastructure availability.

  • Deploy a service and record its platform dependencies.
  • Compare its release checks with a stated customer acceptance requirement.

Day 2

You will use Helm and compare Kustomize for repeatable resources. We examine control-plane, etcd, controller, and node responsibilities against the proposed failure model.

  • Separate reusable defaults from customer-specific settings.
  • Review how a selected component failure affects the workload and API.

Day 3

We trace Services, DNS, ingress, network policies, service mesh use cases, and scheduling. You will identify the infrastructure owner behind each required integration.

  • Verify the reference application's intended traffic path.
  • Diagnose a placement constraint that prevents a required replica from starting.

Day 4

You will connect storage, secrets, autoscaling metrics, authentication, and RBAC to customer operating duties. We review the evidence needed to explain a maintenance or recovery task.

  • Investigate a storage and placement mismatch.
  • Rehearse a customer operating task with its intended identity and runbook.

Your customer architectures, acceptance requirements, and handover duties can shape the agenda. Get in touch to tailor the workshop to your platform implementation work.

When a consultant assumes redundant control-plane nodes guarantee application continuity, the instructor can inspect replicas, storage, and placement separately. The group can define the evidence required for the customer's actual availability requirement.

Asked what he liked most about the course, Thanawoot wrote:

The Kubernetes architecture and core components

— Thanawoot, F5 Professional Services.

Tell us which platforms your consultants implement, what customers must accept, and who operates the result. We will recommend a course focus and verification exercises for those responsibilities.