Dr. Pranay Jha

VMware • Cloud • AI • Enterprise Architecture

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VMware Insight & Cloud Pathshala
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What vSphere Kubernetes Service Is and Why It Replaced TKG (VKS Series, Part 1)

VKS is Tanzu Kubernetes Grid Service renamed, not a new product. Here is what actually changed under the rename, where VKS sits in VCF 9, and who it is really for.

What VKS Is and Why It Replaced TKG
VKS Series · Part 1 of 17

TL;DR · Key Takeaways

  • VKS is not a new product. It is Tanzu Kubernetes Grid Service renamed, the same runtime lineage, now the native Kubernetes service of VMware Cloud Foundation 9.
  • The unified VKS name landed with the 3.3 release on 4 March 2025. The deprecated TanzuKubernetesCluster API and the old TKr naming are the trail of breadcrumbs that confuse people on older builds.
  • VKS is a Supervisor Service: it provisions conformant, upstream-aligned clusters whose nodes are VMs on the same ESX hosts as everything else you run.
  • It is deliberately not a PaaS. No built-in developer portal, no opinionated CI/CD. It hands you governed clusters and gets out of the way.
  • Choose it when you already run VCF and want Kubernetes owned by the same team, policies and infrastructure as the rest of the estate, not when you want a turnkey app platform.
Who this is for: VCF admins, platform leads and architects sizing up VKS for the first time, or trying to work out what changed under the rename.  Prerequisites: none. This is the orientation part; we provision an actual cluster in Part 4.

If you have been around the VMware ecosystem for a few years, you have watched the same Kubernetes runtime get renamed more than once. It was Tanzu Kubernetes Grid Service. Then everyone shortened it to TKGS. Now, in VMware Cloud Foundation 9, it is vSphere Kubernetes Service, VKS. The names changed faster than the technology did, and that single fact is responsible for most of the confusion I see in the field: teams genuinely cannot tell whether they are looking at a new product, a new edition, or just a new sticker on a box they already own.

So before we enable anything or argue about node pools, let us be precise about three things: what VKS actually is, where it sits in VCF 9, and who it is genuinely for. Get those straight and every later decision in this 17-part series, sizing, networking, GPUs, the lot, becomes a much shorter conversation.

The rename, and what actually changed underneath it

Here is the honest version. VKS is Tanzu Kubernetes Grid Service. VMware unified the naming so the service, its clusters and its Kubernetes distribution all carry one consistent “vSphere Kubernetes” identity, and that unified name shipped with the 3.3 release on 4 March 2025. Nothing was re-architected. The Supervisor still embeds a Kubernetes control plane into the vSphere cluster, and the service still provisions full, conformant clusters on top.

What did change is the surface you touch. The old TanzuKubernetesCluster (TKC) API was deprecated with the 3.2.0 release in October 2024 in favour of the standard upstream Cluster API, and the Tanzu Kubernetes release (TKr) was renamed the vSphere Kubernetes release (VKr). If you are running an older VCF or vSphere build, you will still see “Tanzu” and “TKG” scattered through menus, CLI output and YAML. That is expected. It is also the number one reason people think VKS and TKGS are different things. They are not, they are the same runtime at different points on a renaming timeline.

From TKGS to VKS: the renaming trail Same runtime, four name changes. This is why older builds still say “Tanzu.” TKGSthe original 3.2.0 · Oct 2024TKC API deprecatedTKr → VKr 3.3 · Mar 2025unified VKS name 3.6bring-your-own-CNI On VCF 9 you land at the right-hand end. The left-hand names only survive as legacy labels.
The rename was a relabelling and an API modernisation, not a re-architecture. The runtime carried straight through.
You used to seeNow it isWhat it means for you
Tanzu Kubernetes Grid Service (TKGS)vSphere Kubernetes Service (VKS)Same service; just the new name in VCF 9
TanzuKubernetesCluster APICluster API + ClusterClassDefine new clusters the standard way (Part 4)
Tanzu Kubernetes release (TKr)vSphere Kubernetes release (VKr)Same signed K8s images in your content library
Tanzu CLI workflowskubectl / VCF CLIMostly muscle memory; the verbs are familiar

Where VKS actually sits: a service, not a stack

The mental model that prevents most early mistakes is this: VKS does not float free. It is a Supervisor Service, which means it runs on the vSphere Supervisor, which is itself a capability of the VCF platform. Stack it from the bottom and it reads cleanly, your certified hardware, the VCF 9 platform on top, the Supervisor turning a vSphere cluster into a Kubernetes control plane, and VKS provisioning the workload clusters your developers actually consume. Every one of those workload-cluster nodes ends up as a VM, scheduled by DRS across the same ESX hosts as the rest of your estate. There is no separate Kubernetes silo bolted on the side.

Where VKS lives in VCF 9 Each layer depends on the one beneath it; VKS is the Kubernetes runtime layer vCenter / VCF Manages lifecycle and placement vSphere Namespaces carve out tenancy and quotas VKS workload clusters Conformant Kubernetes your developers consume. Nodes are VMs. prod cluster dev cluster gpu cluster (Part 14) vSphere Supervisor + VKS Kubernetes control plane embedded in the cluster; VKS provisions via Cluster API. Supervisor CP VMs VKS + Cluster API Spherelet on each ESX host VCF 9 platform on certified hardware ESX compute · VDS or NSX VPC networking · vSAN / shared storage
VKS is the top two red layers. The grey substrate is the private cloud you already operate and govern.

I unpack these layers properly in Part 2, and the platform-level reference design lives in the VCF 9 Series piece on Supervisor and VKS architecture. The takeaway for now is structural: VKS is the Kubernetes runtime, and everything beneath it is infrastructure you are likely already responsible for. That is the entire pitch, and it is a stronger one than the marketing usually makes.

What it gives you, and what it pointedly does not

What you get is upstream-aligned, CNCF-conformant Kubernetes whose entire lifecycle, provisioning, scaling, upgrade, is driven declaratively and wired into vSphere. Clusters draw compute from VM classes, storage from vSphere storage policies, and networking from NSX or VDS. The VKr gives you a Kubernetes distribution that is signed, tested and supported by VMware. Conformance matters here: because the clusters are standard Kubernetes, your existing tooling, kubectl, Helm, Argo CD, Prometheus, transfers without translation. And because VKS 3.6 added bring-your-own-CNI, you are not even locked to Antrea if a workload genuinely needs Calico or Cilium.

What you do not get is an application platform. There is no built-in developer portal, no opinionated pipeline, no service mesh switched on for you. VKS removes the infrastructure toil of running Kubernetes on vSphere. It does not remove the work of building a platform on top, and a team that expects a batteries-included PaaS the moment a cluster appears is going to spend month two surprised that they are still wiring up ingress and registries themselves. That is not a flaw; it is a scope decision. But you have to scope to it.

Who it is for, versus DIY upstream and OpenShift

VKS occupies a deliberate middle ground, and seeing the three options side by side is the fastest way to know whether it is your tool. Rolling your own upstream Kubernetes on vSphere gives maximum flexibility and maximum operational burden, you own the control plane, the upgrades, the CNI, all of it. OpenShift sits at the opposite end: a full application platform with its own opinions, lifecycle and licensing that runs on vSphere but does not particularly care that it is vSphere. VKS is in between, more managed and more integrated than DIY, far less of a standalone PaaS than OpenShift.

 DIY upstream on vSphereVKSOpenShift
Who runs the control planeYou, entirelyThe platform (Supervisor)The platform
vSphere integrationWhatever you buildDeep and nativeAbstracted away
Developer experienceBring your ownBring your ownRich, built in
Best fitNiche control needsKubernetes on the VCF you runTurnkey app platform, any infra

VKS is for organisations that already run VCF and want their Kubernetes governed by the same teams, policies and infrastructure as the rest of the estate. If your virtualization team owns compute, storage and network, VKS lets them offer Kubernetes as a self-service resource without standing up a parallel platform org. Part 17 returns to this with a full verdict once you have seen what the service actually does; for now, that one sentence is the filter.

Watch the version drift: VKS, the Supervisor and VCF each carry their own version numbers and move on related but separate cadences. When you read a doc or a blog, check which VKS and VCF version it targets, because behaviour, especially networking and API defaults, shifted meaningfully between 9.0 and 9.1. This series flags those breakpoints as they come up.

What I’d Do

If you are coming to this with existing TKGS or TKG clusters, do not panic and do not rush a migration; understand that the runtime is continuous and let the rename stop intimidating you. If you are evaluating VKS fresh, judge it for what it is, the Kubernetes of your private cloud, and not against a PaaS scorecard it was never built to win. The teams that are happiest with VKS are the ones who wanted governed, integrated, self-service Kubernetes on infrastructure they already trust, and who brought their own delivery platform on top. The teams that are disappointed wanted OpenShift and bought VKS by mistake. So before Part 2 gets into the architecture: which of those two teams are you, and does your answer match what your developers are actually asking for?

References

VKS Series · Part 1 of 17
VKS Complete Guide  |  Next: Part 2 »

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Architect’s Toolkit

About the Author

Dr. Pranay Jha is a Cloud and AI Consultant with 18+ years of experience in hybrid cloud, virtualization, and enterprise infrastructure transformation. He specializes in VMware technologies, multi-cloud strategy, and Generative AI solutions. He holds a PhD in Computer Applications with research focused on Cloud and AI, has published multiple research papers, and has been a VMware vExpert since 2016 and a VMUG Community Leader.

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