vSphere with Tanzu offers a VM Service functionality that enables DevOps engineers to deploy and run VMs, in addition to containers, in a common, shared Kubernetes environment. Both, containers and VMs, share the same vSphere Namespace resources and can be managed through a single vSphere with Tanzu interface.

The VM Service addresses the needs of DevOps teams that use Kubernetes, but have existing VM-based workloads that cannot be easily containerized. It also helps users reduce the overhead of managing a non-Kubernetes platform alongside a container platform. When running containers and VMs on a Kubernetes platform, DevOps teams can consolidate their workload footprint to just one platform.

Note: In addition to stand-alone VMs, the VM Service manages the VMs that make up Tanzu Kubernetes clusters. For information about the clusters, see Tanzu Kubernetes Grid Service Architecture and Provisioning Tanzu Kubernetes Clusters.

Each VM deployed through the VM Service functions as a complete machine running all the components, including its own operating system, on top of the vSphere with Tanzu infrastructure. The VM has access to networking and storage that a Supervisor Cluster provides, and is managed using the standard Kubernetes kubectl command. The VM runs as a fully isolated system that is immune to interference from other VMs or workloads in the Kubernetes environment.

When to Use Virtual Machines on a Kubernetes Platform?

Generally, a decision to run workloads in a container or in a VM depends on your business needs and goals. Among the reasons to use VMs appear the following:

  • Your applications cannot be containerized.
  • You have specific hardware requirements for your project.
  • Applications are designed for a custom kernel or custom operating system.
  • Applications are better suited to running in a VM.
  • You want to have a consistent Kubernetes experience and avoid overhead. Rather than running separate sets of infrastructure for your non-Kubernetes and container platforms, you can consolidate these stacks and manage them with a familiar kubectl command.

For information about deploying and managing virtual machines, see Deploying and Managing Virtual Machines in vSphere with Tanzu.