Virtualization technology has become the cornerstone of modern data centers,
enabling consolidation, resource flexibility, and efficient workload
management.
This blog delves into the technical details vSphere and KubVirt, compares
their core features, and explores the use case for each platform.
vSphere
vSphere is a virtualization platform developed by VMware. It
aggregated computing infrastructures that include compute, storage, and
networking resources.
The platform manages these infrastructures as a
unified operating environment, providing tools for administering the
participating data centers. Key components of vSphere include ESXi
(hypervisor), vCenter Server (centralized management), and other software
components can provide additional features like software defined storage
& networking.
KubeVirt
KubeVirt is an open-source project that bridges the gap between Kubernetes
and virtual machines (VMs), that provides a single deployment and management plane for both
containers and VMs. This unified approach allows cloud-native applications
to run seamlessly, regardless of whether they require containers or VMs.
Developers can build, modify, and deploy applications residing in both
application containers and VMs within a shared environment.
With KubeVirt, VM workloads can be run as pods inside a Kubernetes cluster.
KubeVirt addresses the needs of development teams with existing VM-based
workloads. It allows developers to build, modify, and deploy applications
residing in both application containers and VMs within a shared environment.
KubeVirt is also available via enterprise Kubernetes distributions like RedHat OpenShift Container Platform.
Use cases for each platform
VMware vSphere stands out as a leading choice for enterprise customers
managing large-scale VM environments. Its robust suite of virtualization
products provides a scalable platform for running virtual machines and
orchestrating containers. Built on the solid foundation of VMware ESXi and
vCenter Server, vSphere offers advanced features like vMotion, High
Availability, and Distributed Resource Scheduler. These features are
particularly beneficial for enterprises that prioritize minimizing
downtime, ensuring high availability, and achieving resource efficiency in
large-scale environments.
VMs are first class citizens on vSphere and the system architecture is
based on how to run and manage VMs efficiently.
On the other hand, KubeVirt shines in scenarios where customers are
running VMs and containers side by side and are on a journey of
containerization. As an open-source project, KubeVirt enables
traditional virtual machines to run on top of Kubernetes, allowing you
to manage VMs like any other Kubernetes resource. This tight integration
with the Kubernetes ecosystem is particularly beneficial for
organizations that are heavily invested in cloud-native technologies and
are looking to bring their existing, non-containerized workloads into a
Kubernetes environment.
Enterprise Kubernetes distributions provide customers a curated
experience and enterprise level support.
The following table compares features and components of each
platform.
Comparison Table
Feature
|
vSphere
|
KubeVirt
|
Core Components
|
ESXi (hypervisor), vCenter Server (central management)
|
Custom Resource Definitions (CRDs) for VM management,
virt-controller, virt-launcher, virt-handler, libvirtd
|
Virtual Machine Management
|
Comprehensive VM management using GUI (vCenter), CLI or API |
Declarative VM creation and management directly from a Kubernetes
cluster
|
High Availability
|
High Availability (HA) feature ensures high availability of
applications running in VMs
|
Depending underlying Kubernetes cluster’s high availability
configuration
|
Resource Management
|
Distributed Resource Scheduler (DRS) for automatic balancing of
resources
|
Resources managed by Kubernetes, allowing for automatic scaling and
load balancing
|
Security
|
Comprehensive built-in security starting at the core
|
Security depends on underlying Kubernetes cluster’s
configuration
|
Integration with Kubernetes
|
Tanzu integration or Kubernetes inside VMs DIY or Enterprise
Distributions
|
Native integration with Kubernetes, allowing VMs to run as standard
Kubernetes pods
|
Container Support
|
Supports running containers inside VMs
|
Supports running containers natively
|
Live Migration of VMs
|
vMotion allows for live migration of running VMs
|
Supports live migration of VMs between nodes
|
Scalability
|
Scalable to support large enterprise environments
|
Scalability depends on underlying Kubernetes cluster’s
configuration
|
Storage
|
Supports a variety of storage options including local, SAN, NAS,
and vSAN
|
Storage managed by Kubernetes, supports any storage class available
in the cluster
|
Disaster Recovery
|
VMware Site Recovery Manager for orchestrated failover using async
and sync-replication technologies
|
3rd part solutions and storage based replication technologies
|
Networking
|
Advanced networking features with distributed switches and
NSX.
|
Networking managed by Kubernetes and supports any network plugin
available in the cluster
|
Licensing
|
Subscription based licenses
|
Free as part of Kubernetes or licensed via Enterprise Kubernetes
Distributions |
Comparing Operational Aspects
This builds upon the previous comparison, focusing on VM creation, cloning,
migration, and storage management with Kubvirt and vSphere:
VM Creation:
-
vSphere:
-
vSphere Client or PowerCLI cmdlets can be used for VM
creation.
-
ESXi hosts are selected for VM placement.
-
Resource allocation (CPU,
memory,
storage) is defined during creation.
-
Kubvirt:
-
YAML manifests or
kubectl
commands are used to define VM configuration.
-
Resource requests and limits are specified for CPU,
memory,
and storage.
-
Networking and storage details are included in the
manifest.
-
Example (manifest):
apiVersion: kubevirt.io/v1
kind: VirtualMachine
metadata:
name: my-vm
spec:
template:
spec:
domain:
name: my-vm
networks:
- name: default
interfaceName: eth0
resources:
requests:
memory: "2Gi"
cpu: "1"
volumes:
- name: ubuntu-disk
persistentVolumeClaim:
claimName: ubuntu-pvc
VM Cloning from Template:
-
vSphere:
-
Templates are created from existing VMs with desired
configuration.
-
New VMs can be cloned from templates with pre-configured
settings.
-
Kubvirt:
-
VM templates can be defined as YAML manifests with base
configurations.
-
New VMs are created referencing the template
manifest,
inheriting the configuration.
-
Example (template manifest):
apiVersion: kubevirt.io/v1
kind: VirtualMachineInstanceTemplate
metadata:
name: my-vm-template
spec:
domain:
name: my-vm-template
networks:
- name: default
interfaceName: eth0
resources:
requests:
memory: "2Gi"
cpu: "1"
-
New VM using Template:
apiVersion: kubevirt.io/v1
kind: VirtualMachine
metadata:
name: my-vm-clone
spec:
template:
spec:
templateRef:
name: my-vm-template
VM Migration to Another Node:
-
vSphere:
-
vSphere offers vMotion for live migration of running VMs
between ESXi hosts with minimal downtime.
-
Prerequisites include shared storage and compatible hardware
on both hosts.
-
Kubvirt:
Example (manifest):
apiVersion: kubevirt.io/v1
kind: VirtualMachineInstanceMigration
metadata:
name: migration-job
spec:
vmiName: rhel01
VM Migration to Another Volume:
-
vSphere:
-
Storage vMotion can be used to migrate VM disks between
datastores while the VM is running.
-
Prerequisites include shared storage and compatible
datastores.
-
Kubvirt:
-
Kubvirt relies on Kubernetes storage features for volume
management. Shutdown the Virtual Machine.
- Use
kubectl cp
to copy data from one PVC to another. - Update and apply the persistent volume claim (PVC) associated with the
VM's storage in the YAML manifest.
- Start the Virtual Machine.
Conclusion
In conclusion, both VMware vSphere and KubeVirt offer robust solutions for
managing virtual machines, each with its unique strengths.
vSphere is ideally suited for enterprises with large-scale environments,
while KubeVirt is an excellent choice for those on a journey of
containerization, seeking to manage both their VM-based and container
workloads using the same set of tools. The choice between the two will
depend on the specific needs and nature of your workloads.