Kubernetes Migration

Migrating to Kubernetes means modernising operations : not wrapping the existing in Docker. We migrate your applications with architecture in mind, on our clusters or yours.

The problem you're facing

Improvised migration produces containers copying VM flaws: everything in one image, hidden configuration, no healthchecks. The cluster adds complexity without real benefit.

Our answer

We migrate with best practices: clean containerisation, externalised configuration, healthchecks, declarative deployments and a CI/CD pipeline. Progressive VM/container cohabitation during transition.

What LaMeDuSe Cloud takes care of

  • Applicability audit: which applications, which order
  • Containerisation with best practices
  • Documented Kubernetes / Helm manifests
  • CI/CD pipeline for cluster deployment
  • Data strategy: StatefulSets, storage
  • Progressive cohabitation during transition
  • Team training in operations

Our methodology

  1. 1

    Complete inventory

    Services, data, dependencies, DNS: you only migrate well what you have mapped.

  2. 2

    Migration plan

    Migration order, intervention windows, success criteria and rollback plan.

  3. 3

    Rehearsal

    Every migration is rehearsed in a test environment: never a first time on D-day.

  4. 4

    Cutover & stabilisation

    Planned execution, systematic checks, old environment kept as a safety net.

Technologies

Proxmox & P2V migrationKubernetes, Helm, Velerorsync, Restic, BorgPostgreSQL logical replicationTerraform, Ansible

Security

Encrypted transfers, segmentation of source and target environments, integrity checks after every step.

Hosting & infrastructure

The target can be our European cloud or your infrastructure: we migrate to what serves your constraints.

Maintenance

After the cutover, operations can stay with us (managed services) or return to your teams, with full documentation.

Why LaMeDuSe Cloud

We run Kubernetes clusters in European production for our own platforms: we know what migration brings : and what it doesn't.

Frequently asked questions

No: stateless applications with variable load gain clearly; an isolated database or small stable service, often less. We decide application by application : sometimes a well-administered VM is still the right answer.

Your existing one, a new cluster on our managed infrastructure, or a hyperscaler cluster if your services depend on it. The target follows your constraints, not our preferences.

Depending on the case: StatefulSet with persistent storage, or a dedicated service off-cluster (often simpler to operate). The recommendation depends on criticality and your teams.

Not necessarily: the managed option means we administer, you deploy. If you want to internalise, training is part of the service : but it's not an obligation.