Technologies · VM and Container Platform

Run virtual machines and containers on one platform

Long-running virtual machines and new containerized applications run on the same network under the same rules, so two platforms become one.

Two separate platformsVirtual machinesOwn managementOwn backupsOwn permission modelContainersOwn managementOwn backupsOwn permission modelOne deployment pipelineBoth definitions in code · one approval flowKubernetes · one platform, same rulesVirtual machineLegacy applicationContainerNew-generation appOne virtual networkOne storageOne permission modelRestart after a failureWorkloads on a failed serverrestart on healthy servers

What it does for you

  • Modernize in the order you choose

    Add new services next to an old application without rewriting it, and let business needs decide what gets modernized when.

  • Use one backup and access model

    Virtual machines and containers share one backup, monitoring and access model, so your team learns one way of working.

  • Run one platform

    One platform is run instead of the licences, hardware and expertise of two.

How it works

  1. 01Older applications can stay on virtual machines
  2. 02One network, one storage layer, one access model
  3. 03One pipeline covers both
  4. 04Workloads restart after a failure

Many organizations run two environments side by side today: long-running virtual machines and new containerized applications. That often means two platforms, with two consoles, two backup systems and two access models.

With the virtualization capability of an enterprise Kubernetes platform, virtual machines run on the same platform as containers, under the same rules. In practice:

Older applications can stay on virtual machines

An application that can’t move to containers runs as a virtual machine on the same platform, and you modernize in the order you choose.

One network, one storage layer, one access model

Virtual machines and containers talk on the same virtual network and take disks from the same storage.

One pipeline covers both

Virtual machine definitions live in code like container definitions, and changes go through the same approval flow.

Workloads restart after a failure

When a physical server fails, its workloads restart on healthy servers.

For organizations reviewing their virtualization costs, this architecture brings two platforms down to one.

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