One service definition. Deploy it once, or everywhere — same steps either way.
Whether you have one cluster or ten, deploying a service shouldn't require per-cluster babysitting. Define it once, pick your targets, and ZeusK8s resolves the differences (registry, identity, config) for each cluster automatically.
The deploy that scales with you, not against you.
When you're running one cluster, deploy scripts are manageable. When you're running three, they're painful. When you're running more, nobody fully understands them anymore — and that's when a release turns into an incident. The fragmentation isn't the clusters; it's the per-cluster glue.
ZeusK8s keeps the service definition cloud-agnostic. The right image per registry, the right identity per cloud, the right config per cluster — all resolved automatically from one definition. You deploy the same way whether you're targeting one cluster or every cluster you run, and watch the rollout in one place.
| Cluster | Provider | Region | Pods | Status |
|---|---|---|---|---|
| staging | AWS EKS | us-west-2 | — | Queued |
| production-us | AWS EKS | us-east-1 | — | Queued |
| production-eu | GKE | europe-west3 | — | Queued |
| edge-apac | GKE | asia-east1 | — | Queued |
| HQ Denver | k3s | Denver, CO | — | Queued |
From zero to running.
Pick the service and the targets
Choose a service and the environment that spans your clusters: one region or every region you operate.
Zeus resolves the differences
The right image per registry, the right cloud identity per provider, the right config per cluster, all composed automatically from one definition.
Deploy everywhere at once
A single action rolls the service out to every target cluster across every cloud, with identical manifests. No per-cluster babysitting.
Watch it go green
Live status per cluster as the global rollout proceeds. Promote a known-good build across regions the same way.
Built by people who run this in production.
No hand-waving. Here’s what’s actually under the hood: the kind of detail you’d expect from a platform you’re going to trust with production.
Questions you’d actually ask.
What makes a global deploy safe?
Identical manifests from one definition remove the per-cluster drift that causes surprises. You also see live status per cluster and can promote a known-good build region by region if you prefer a staged rollout.
Do all clusters have to be identical?
No. They can be different clouds, sizes, and regions. Per-cluster overrides handle the legitimate differences (like replica counts) while the core definition stays the same.
What if one region fails?
You see it immediately in per-cluster status, and the others are unaffected. Because clusters are independent Kubernetes clusters joined by a mesh, a regional issue doesn’t take down the global rollout.
Keep exploring.
All features →The config that makes it possible.
Explore →The network underneath.
Explore →Watch the rollout.
Explore →Start running it today.
Spin up your first cluster free, or get a guided tour from our team.