Managed Kubernetes

Kubernetes Cluster

Production Kubernetes clusters with a free managed control plane, multi-zone HA, autoscaling node pools, and GitOps wired in from the first push.

Kubernetes infrastructure

The control plane

Managed clusters, not raw nodes

Control plane, autoscaler, multi-zone HA, GitOps wiring — all defaults. You write manifests; we run the operational layer underneath.

01

Managed control plane

We run the API server, etcd, scheduler, and controller-manager — patched, monitored, and backed up. You only pay for workers.

CP
Managed
N1
node
N2
node
N3
node
  • Free, always-on control plane
  • Patched within 24h of upstream
  • Encrypted etcd backups
02

Cluster autoscaler, built-in

Node pools scale on pending pods and CPU pressure. Surge capacity in seconds, scale-to-zero on idle pools to control spend.

  • Pending-pod + CPU triggers
  • Spot + on-demand node pools
  • Scale to zero on idle pools
03

Multi-zone HA

Stretch the cluster across 3 zones with quorum etcd and zone-aware scheduling. Survives a full AZ outage with no kubectl needed.

AZ-1
AZ-2
AZ-3
  • 3-zone control plane quorum
  • Topology-aware scheduling
  • Pod disruption budgets enforced
04

GitOps + RBAC out of the box

Flux and Argo CD installable in one click. Cluster, namespace, and pod-level RBAC wired into your existing SSO from day one.

sync
  • Argo CD / Flux native install
  • SSO + RBAC from day one
  • Audit log to S3 or Loki
FreeControl plane
<60sNode join
3 AZHA quorum
99.95%SLA

Features

Production defaults, not a checklist

Autoscaling, multi-region, GitOps, ingress, observability — wired in from the first cluster. No bolt-on plugins to babysit.

01

Auto-scaling node pools

Pools scale on pending pods and resource pressure. Mix on-demand and spot, scale to zero when idle.

02

Multi-region clusters

Stretch one cluster across regions with topology-aware scheduling and automated failover when an AZ disappears.

03

GitOps ready

Argo CD or Flux installable from the dashboard. Wire any branch to any cluster; drift is reconciled automatically.

04

Fully managed control plane

API server, scheduler, etcd, and controllers — patched, monitored, backed up. You pay only for workers.

05

Built-in load balancing

L4/L7 ingress with automatic TLS, sticky sessions, and DDoS protection. No manual cert renewals.

06

Observability built in

Cluster, node, and pod metrics plus container logs in the dashboard. Prometheus and OTel exporters for your own stack.

Pricing

Pay for workers. Not the control plane.

Four cluster shapes. Control plane is always on the house — you pay only for the worker nodes you run.

Dev / Test

Lightweight clusters for development, staging, and CI pipelines.

$15/ mo

3 nodes · 2 vCPU · 2 GB

  • Shared control plane
  • Auto-healing workers
  • kubectl + Helm ready
  • Cluster metrics included

Standard

Production clusters with dedicated control plane and autoscaling.

$75/ mo

3 nodes · 2 vCPU · 8 GB

  • Dedicated control plane
  • HPA / VPA autoscaling
  • Ingress controller
  • Rolling updates

Production HA

Multi-zone HA, automatic failover, and 99.95% production SLA.

$200/ mo

3 nodes · 4 vCPU · 16 GB

  • 3-zone HA control plane
  • 99.95% uptime SLA
  • Priority support
  • Pod disruption budgets

GPU Clusters

GPU-accelerated pools for AI training, inference, and rendering.

$350/ mo

1 node · 8 vCPU · 32 GB · 1× A100 40GB

  • NVIDIA A100 / H100
  • CUDA + cuDNN preinstalled
  • GPU operator auto-config
  • Spot GPU pools

Free control plane · 99.95% SLA on production tiers · Pay-as-you-go workers

Frequently asked questions

Everything you need to know about our platform and services.

Yes. The API server, etcd, scheduler, and controller-manager are managed and billed by us — you only pay for worker nodes you provision.

We track upstream Kubernetes and ship the last three minor versions. Patch releases land within 24 hours of upstream GA, with zero-downtime control-plane upgrades.

Yes. Argo CD and Flux are installable from the dashboard in one click, with per-branch environment wiring and drift reconciliation enabled by default.

Yes. GPU clusters come with the NVIDIA GPU Operator preinstalled, CUDA and cuDNN drivers ready, and A100 / H100 on-demand and spot node pools available.

Cluster autoscaler scales node pools on pending pods and CPU pressure. Pods scale via HPA, VPA, and KEDA. Idle node pools scale to zero on a schedule you control.

Production HA clusters stretch the control plane across 3 zones with quorum etcd. Workers can be pinned to zones via topology-aware scheduling and pod disruption budgets.

Use cases

Built for the workloads you actually run.

From microservices to GPU training — one cluster shape, four workloads that ship every day.

01

Microservices

Microservices and APIs

Run dozens of services on one cluster with namespace isolation, mTLS via a service mesh, and HPA based on request volume.

02

AI / ML

Training and inference at scale

GPU node pools with CUDA preinstalled, spot pricing for training, and warm pools to keep inference latency predictable.

03

Platform teams

Internal developer platforms

Multi-tenant clusters with RBAC, network policies, and per-namespace quotas. Argo CD or Flux wired in from day one.

04

Regulated

Compliance-bound workloads

Private clusters, BYOK encryption, audit logs to S3 or Loki, and SOC 2 controls — for workloads with an audit trail.

Building something else?

Talk to our solutions team