Run Containers at Scale with Managed Kubernetes
Production-grade Kubernetes without the ops overhead. We manage the control plane so your team can focus entirely on deploying applications.
Managed Control Plane
We run etcd, the API server, scheduler, and controllers. Your team manages only workloads - not Kubernetes infrastructure.
Built-in Docker Registry
Private container image registry co-located with your cluster for fast pulls with no egress fees or external configuration.
Horizontal & Vertical Autoscaling
HPA and VPA configured out of the box. Pods scale up or down automatically based on CPU, memory, or custom metrics.
What You Get
Best For
Production-ready Kubernetes cluster, control plane included. You deploy, we handle the rest.
Technical Specifications
How It Works
Create a cluster
Choose the number and size of worker nodes. The control plane is provisioned and managed automatically.
Push your container images
Push to the built-in registry or configure any external registry your team already uses.
Deploy workloads
Apply Kubernetes manifests or Helm charts. Services are scheduled and running within seconds.
Expose and scale
Use Ingress or LoadBalancer services to expose traffic externally. Autoscaling handles demand shifts without manual intervention.
Common Use Cases
Microservice Architectures
Run dozens of independent services with isolated networking, independent scaling policies, and rolling update strategies.
CI/CD Pipelines
Run build agents, test runners, and deployment jobs as ephemeral Kubernetes Jobs or CronJobs with zero idle cost.
Modern SaaS Applications
Deploy multi-tenant SaaS backends with namespace isolation, resource quotas, and integrated logging.
Need the Right Starting Point?
Tell us what you run today and we will recommend the smallest viable setup.