Kubernetes training for customer storage and recovery consultants

We offer private, instructor-led training for consultants delivering storage and recovery capabilities for customer Kubernetes workloads.

Your team understands infrastructure storage. A bound volume does not establish application recovery, and Kubernetes adds workload, scheduling, identity, and controller relationships around the data.

LearnKube uses a representative stateful application to connect customer requirements to storage decisions, failure evidence, recovery checks, and handover responsibilities.

Discuss your team's training

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

Preview: course-wide figures are not yet available.

  • Hands-on learning
    60%
    Of instruction time spent on labs and challenges.
  • Troubleshooting confidence
    86%
    Of respondents report greater confidence diagnosing Kubernetes problems.
  • Relevant to your work
    92%
    Of respondents say the course addressed their engineering responsibilities.
  • Skills put into practice
    95%
    Of respondents applied their new skills at work within 90 days.

Connect storage delivery to the application that must recover

  • Prepare a storage design by relating workload requirements to claims, classes, and placement, so the proposed configuration has explicit application dependencies.
  • Validate recovery behavior by examining restored data and application access, so acceptance distinguishes persistent storage from a usable recovered service.
  • Diagnose storage-related failures by tracing workload, claim, driver, and infrastructure evidence, so engineers can identify the responsible layer.
  • Transfer recovery ownership by documenting prerequisites, permissions, and verification steps, so the customer understands the procedure it receives.

The storage object's state is only part of recovery evidence

Kubernetes persistent volumes and claims connect workloads to storage with a lifecycle beyond an individual Pod. Volume snapshots add standardized APIs where the necessary controllers and CSI capabilities exist. Consultants still need application-level recovery checks, credentials, and usable data. Those dependencies determine what a successful customer acceptance exercise must demonstrate after restoration.

I ask whether the restored application can use the data it needs, not only whether a volume is bound. A snapshot or successful provisioning operation does not by itself establish the customer's recovery requirement.

— Daniele Polencic, LearnKube founder and Kubernetes instructor

Customer task or requirementKubernetes decisionPractice
Define storage requirementsClaims, classes, and accessInspect a workload dependency
Place a stateful workloadVolume and node constraintsDiagnose an unschedulable consumer
Verify recoveryData, credentials, and application behaviorCheck a restored workload
Hand over the procedureRecovery prerequisites and ownershipRehearse the receiving role

Your team is not alone in customer recovery implementations

Portworx field engineers design storage architectures, implement customer solutions, validate failure behavior, and prepare customer teams to operate them. Cohesity consultants also design container-backup strategies and transfer knowledge to client engineers.

For teams responsible for this work, we recommend a four-day workshop on Kubernetes persistence, operating evidence, and recovery verification. Product-specific replication and backup mechanisms remain selected specialist context.

A recommended four-day workshop for storage-delivery teams

This proposed agenda uses a stateful reference application. Snapshot or backup exercises use a selected lab with the required driver and recovery capabilities.

Day 1

We connect images, Pods, controllers, Services, and probes to the stateful application. You will separate workload health from access to required data.

Hands-on exercises

  • Deploy the reference application with explicit storage dependencies.
  • Compare a process failure with a data-access failure.

Day 2

You will use Helm and compare Kustomize for repeatable resources. We trace control-plane, node, and storage-controller responsibilities through provisioning and replacement.

Hands-on exercises

  • Inspect the claim and configuration produced by a release.
  • Diagnose a storage request that the environment cannot satisfy.

Day 3

We examine networking, policies, ingress and mesh considerations, and scheduling around the stateful workload. The exercise connects storage topology and application placement to customer infrastructure.

Hands-on exercises

  • Investigate a workload whose volume and node requirements conflict.
  • Trace a failed data-service connection and identify its owner.

Day 4

You will examine persistent state, secrets, authentication, RBAC, and resource demand. We verify recovery against an application check rather than a storage status alone.

Hands-on exercises

  • Restore sample data through the selected mechanism and verify application use.
  • Rehearse the recovery procedure with the receiving team's intended access.

Your customer workloads, storage mechanisms, and recovery responsibilities can shape the agenda. Get in touch to tailor the workshop to your storage delivery work.

Challenge an incomplete recovery claim

When an engineer treats a bound claim as proof of recovery, the instructor can check application access and restored contents. The team can identify the evidence still missing from the customer's acceptance requirement.

Gaurav's advice for future participants was:

This is a very good course to learn details of K8s.

— Gaurav, F5.

Bring the workload and the recovery requirement

Tell us which storage solutions your consultants deliver, what customers need to recover, and who owns the procedure afterward. We will recommend Kubernetes exercises around those requirements.

Discuss your team's training