Internal Kubernetes Platform

Give Every Tenant a Cluster. Own the Platform.

vCluster lets platform engineers hand out self-service Kubernetes environments to every tenant, with the isolation, governance, and cloud portability to run anywhere.

The Problem

What’s Holding Back Kubernetes Adoption Across Your Org

Platform teams face an impossible choice: lock things down and lose developer velocity, or open things up and lose control.

WITHOUT VCLUSTER

Platform Team
as Bottleneck

  • Dedicated cluster per team: Hours to provision, massive cost and sprawl
  • Shared namespaces: CRD conflicts, blast radius risk, no real isolation
  • Manual provisioning: Developers wait days, platform engineers drown in tickets
  • No cloud portability: Inconsistent environments across EKS, AKS, GKE, on-prem
  • Governance gaps: No way to enforce limits, policies, or cost attribution at scale
Kubernetes adoption stalls. Developers are frustrated. The platform team can’t scale.
WITH VCLUSTER

Self-Service With Platform-Grade Control

  • Self-service tenant clusters spin up in under 3 seconds
  • Each tenant gets an isolated control plane: no noisy neighbors, no blast radius
  • Platform teams set guardrails once; governance is applied at creation time
  • One consistent platform layer from EKS to GKE to bare metal to on-prem
  • 80%+ reduction in Kubernetes spend through cluster consolidation
Platform engineers own the infrastructure. Every team owns their environment.
How It Works

One Infrastructure, Infinite Environments

vCluster runs isolated virtual control planes inside your existing shared clusters. Every tenant gets a full Kubernetes experience without dedicating physical infrastructure to each one.

STEP 1

Tenant requests an environment

Self-service portal

STEP 2

Template enforces policy & guardrails

RBAC · Quotas · Network

STEP 3

vCluster provisions isolated control plane

~30 seconds

STEP 4

Tenant gets a full Kubernetes cluster

API server · etcd · RBAC

Dedicated Control Planes

Each tenant gets its own API server, etcd, RBAC, and CRD scope. No noisy neighbors, no blast radius, no CRD conflicts.

Self-Service, Platform-Governed

Any tenant gets Kubernetes on demand from a portal, CLI, or GitOps workflow. Policies, RBAC, and resource quotas are enforced automatically at provisioning.

Any Cloud or On-Prem

Deploy identically on EKS, AKS, GKE, bare metal, or on-prem. The same platform layer everywhere, with no environment drift.

Private Nodes

Compliance, GPU, or high-security workloads get dedicated compute with zero cross-tenant exposure.

Auto Nodes

Nodes provision on demand and scale down when workloads finish. No idle waste, no manual capacity planning.

Cost Control at Scale

Consolidate hundreds of clusters into a few shared ones. Auto Sleep keeps every idle environment at zero cost automatically.

The Full Tenancy Spectrum

vCluster spans every isolation model, from shared namespaces to fully dedicatedsingle-tenant clusters, giving platform teams the flexibility to match each workload’s needs.

Key Features

The Platform Features Teams Depend On

The capabilities platform engineers reach for first when designing a secure, scalable internal Kubernetes platform.

Flexible Tenancy Models
Choose the right isolation for every workload

Shared nodes, dedicated nodes, or private nodes per tenant. Match isolation level to security, compliance, and cost requirements without changing how tenants interact with Kubernetes.

SSO & RBAC
Connect to your identity provider

Integrate with Okta, Azure AD, or any OIDC provider. Role bindings map to your org’s groups automatically.

Templates
Codify your standards once, deliver them at scale

Define approved cluster blueprints once. Every environment provisioned from a template inherits resource limits, policies, and labels automatically.

Auto Sleep
Idle clusters cost nothing

Idle environments scale to zero and wake in seconds. One Fortune 500 customer saved $6M+ annually across 200+ pre-prod clusters.

CRD Sync
Platform resources in every tenant

Sync CRDs and custom resources from the host into every tenant vCluster. Certificates, secrets, and platform objects available without manual bootstrapping.

Shared Platform Stack
Run shared services once, available to all

Cert-manager, ingress controllers, monitoring, and service mesh run on the host and are shared across tenants. No duplication, no drift, one platform team manages it all.

Use Cases

Every Tenant That’s Been Waiting for a Cluster

Platform engineers use vCluster to serve a wide range of tenants: dev teams, CI pipelines, ML workloads, compliance environments, and more.

Use Case 01
Dev Environments Without the Wait

Isolated dev environments in seconds. Full admin access and production-like configs, no ticket required.

Use Case 02
CI / CD Pipeline Isolation

Every pipeline run gets its own ephemeral cluster. Parallel, isolated, auto-deleted on completion.

Use Case 03
Preview Environments per PR

A clean environment per feature branch. Reviewers test real infrastructure, not mocks. Auto-deleted after merge.

Use Case 04
Production Parity Testing

Replicate production configs, RBAC, and policies exactly. Catch drift and integration issues before they reach prod.

Use Case 05
Security and Policy Validation

Test OPA, Kyverno, and NetworkPolicies in isolated clusters before rollout. Validate enforcement without touching live environments.

Use Case 06
Demo and Training Environments

Clean, reproducible environments for demos, onboarding, and labs. Self- service, isolated per session, auto-deleted when finished.

Customer Stories

Trusted by Platform Teams Worldwide

“Many of our developers are not really familiar with Kubernetes. Our challenge was to enable these developers to test their microservices against the rest of Ada’s software stack without needing to know how Kubernetes really works.”

Robert D'Ippolito
Robert D’Ippolito
Manager, Developer Enablement Engineering @ Ada
10x

Developer productivity

1:1

vCluster per pull request

“vCluster empowered our teams to deploy Kubernetes clusters on-demand in under 45 seconds, allowing us to reduce idle infrastructure costs and significantly speed up development workflows.”

Michael Norris
Michael Norris
Platform Engineer @ Aussie Broadband
99%

Faster cluster provisioning

$180k

Saved per year

“vCluster’s Sleep Mode allowed us to optimize our cloud costs by scaling down idle clusters when not in use, while still ensuring they were instantly available when developers needed them.”

VP of Cloud Engineering
Global Fortune 500 Insurance Company
70%

Reduction in K8s cost

$6M+

Projected annual savings

Resources

For Platform Engineers

Building Internal Development Platforms with Tenant Kubernetes Clusters
EBOOK
Building Internal Development Platforms with Tenant Kubernetes Clusters

Architecture, tenancy models, and best practices for platform teams building self-service Kubernetes platforms.

Tenancy Models with vCluster
GUIDE
Tenancy Models with vCluster

Shared nodes, dedicated nodes, private nodes. How to choose the right isolation level for each tenant and workload type.

Scaling Kubernetes Adoption on AWS EKS
GUIDE
Scaling Kubernetes Adoption on AWS EKS

Self-service environments, guardrails, and cost controls for platform teams scaling EKS adoption without chaos.

Build the Internal Platform Your Tenants Have Been Waiting For

Join the world’s leading engineering organizations using vCluster to deliver self-service Kubernetes at scale, with the governance, portability, and cost efficiency your platform team demands.