Provision DOKS clusters, bootstrap Flux + Flagger, deploy agent fleets from GitHub/GHCR, and safely scale your AI infrastructure—without bespoke infra work.
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One streamlined workflow covers everything from cluster provisioning to canary rollouts.
Define your DOKS cluster spec — region, node pools, sizes — and ClusterControl provisions it via the DigitalOcean API.
Flux CD and Flagger are automatically installed and configured. Your Git repo becomes the source of truth.
Pick a package from your GitHub/GHCR catalog. ClusterControl runs preflight checks and manages the canary rollout.
Configure HPA targets, node placement, and pool scaling rules. ClusterControl ensures capacity matches your workload.
Built for the dynamic nature of agent fleets — not generic Kubernetes tooling bolted together.
Provision DigitalOcean Kubernetes clusters with consistent, repeatable specs. Blueprints encode your standard cluster configuration.
Your Git repo is the source of truth. Flux continuously reconciles cluster state, with drift detection and alerting built in.
Automated progressive delivery. Flagger analyzes canary metrics and promotes or rolls back — no manual babysitting.
Purpose-built presets for agent fleets and model-backed services. Set compute limits, HPA targets, and placement rules in one place.
Configure CPU/memory-driven HPA targets. Coordinate with node pool scaling to prevent pending pods and wasted compute.
Route workloads to node pools using labels, taints, tolerations, and affinity rules. Templated and reusable across environments.
Browse and deploy Helm charts, Kustomize bundles, and OCI artifacts from GitHub and GHCR. Versioned, auditable, and repeatable.
Every deployment runs automated preflight checks before rolling out. Catch resource conflicts, missing secrets, and misconfigs early.
Full audit trail of every cluster operation, deployment, config change, and scaling event. Built for compliance and debugging.
"We went from manually managing 6 Kubernetes clusters to a unified control plane in two weeks. Our agents deploy with canary rollouts automatically now."
"ClusterControl's AI Workload Profiles saved our ML team from writing bespoke HPA configs for every service. The autoscaling just works."
"The Flagger integration is what sold us. Automatic canary promotion based on success rate metrics means we ship faster with way less risk."
Start free, scale as you grow. No per-cluster fees. No hidden charges.
Perfect for side projects and evaluation.
For AI teams shipping to production.
For large teams with compliance needs.
The MVP focuses on DigitalOcean Kubernetes (DOKS). Support for AWS EKS, GCP GKE, and k3s is on our roadmap. All provisioning connects to your cloud account via credentials you control.
Basic Kubernetes familiarity helps, but ClusterControl abstracts away most of the complexity. AI Workload Profiles, Scaling Profiles, and Placement Policies give you sensible defaults so you can ship without becoming a Kubernetes expert.
ClusterControl accesses your GitHub repos and GHCR via a Personal Access Token (PAT) you provide. This gives you full control — you can scope the PAT to specific repos and revoke it at any time.
Flagger monitors canary success rate and latency metrics. If thresholds are breached, ClusterControl automatically rolls back to the previous stable version within 2 minutes — no manual intervention needed.
Absolutely. The GitOps, canary deployment, and cluster provisioning capabilities work for any containerized workload. AI Workload Profiles are optional add-ons for teams with agent-specific requirements.
Yes — the Growth plan includes a 14-day free trial. No credit card required to start. You can upgrade, downgrade, or cancel at any time.
Join AI platform teams that ship faster, sleep better, and spend less time fighting Kubernetes.
No credit card required · Cancel anytime · 14-day free trial on Growth