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Subkube Managed Kubernetes

Fully managed Kubernetes clusters on dedicated VMs. Pure, vanilla K3s with a minimal footprint, integrated seamlessly with Stud I/O Cloud.

Cloud Compute Engine

Pure Kubernetes on I/O Cloud

We provide the cluster, you control the rest. No vendor lock-in, just standard Kubernetes.

Dedicated Infrastructure
Isolation

Dedicated Infrastructure

Every cluster runs on dedicated VMs with its own virtual network. No sharing resources with neighbors.

Lightweight & Fast
K3s Distribution

Lightweight & Fast

Powered by K3s for a minimal footprint and fast startup times. 100% upstream compatible.

Persistent Storage
Ceph Integration

Persistent Storage

Automatic provisioning of Ceph RBD block volumes and CephFS shared filesystems.

Production Ready

Kubernetes for Production

Enterprise-grade features out of the box.

Cluster Management

Automated provisioning, scaling, and updates via our event-driven control plane.

Bring Your Own Cluster

Run clusters on Stud I/O Compute or connect your existing (externally-managed) clusters.

Ingress Ready

Pre-configured Traefik ingress and automated wildcard DNS for instant application access.

Workload Showcase

Static Web

Vercel-like experience for frontend builds.

project-root
.vitepress
src
index.md
package.json
➜ Building for production...
✓ 42 modules transformed.
✓ built in 1.2s

Functions

Scale-to-zero functions powered by Knative.

handler.py
def main(context):
return {
"status": "success",
"msg": "Hello from Knative!"
}
Deployed to production (v1.2.4)

Docker

Simple container deployments with minimal configuration.

# Dockerfile
FROM python:3.11-slim
WORKDIR /app
COPY . .
RUN pip install -r requirements.txt
CMD ["python", "app.py"]
$ subkube deploy --container
Uploading context to build server...

Cluster Management

Support for any type of infrastructure which can me managed through OpenTofu (Terraform)

Public Cloud

Use Stud I/O Cloud to run your clusters

Private Cloud

Deploy to your private cloud, or on-prem hardware