AWS today. GCP next quarter. Your own hardware for the sensitive stuff.
Most teams don't plan to go multi-cloud — they end up there. An acquisition, a compliance requirement, a cost spike. Zeus makes it a non-event: every provider looks the same from the console, and the second cluster costs the same operational effort as the first.
Adding a second cloud shouldn't mean adopting a second stack.
The problem with multi-cloud isn't the providers — it's the operational surface area. A second cloud means a second CLI, a second console, a second set of IAM conventions, a second networking model, and a second way of doing everything you already know how to do on the first one. Most teams that say "we want to be multi-cloud" don't account for the cost of operating it.
Zeus changes the equation. Every cluster type — EKS, GKE, k3s, or Proxmox — is provisioned through the same five-step wizard, deployed to through the same service definition, and operated through the same surface. Adding a GKE cluster to an EKS environment doesn't mean learning GKE operations. It means adding a cluster.
Your clusters run in your AWS account or your GCP project — Zeus is the control plane in front of them. Switch providers, add providers, or drop one entirely. The infrastructure is yours; the management layer isn't locked to any cloud.
AWS, GCP, and your own hardware in one list.
No three consoles, no three mental models. Every cluster — managed cloud or bare metal in your rack — shows the same status, responds to the same actions, and follows the same workflow. When the infrastructure underneath changes, the way your team works doesn't.
What actually differs between providers — and where.
Zeus doesn't hide the provider differences — it localizes them. Everything that varies lives at the deploy seam, not in the config you write or the workflow you follow.
What stays the same
Service definition, environment config, build pipeline, deployment tracking, observability, IAM setup, DNS, and networking policy. Everything you touch day-to-day.
What varies at the seam
Image registry endpoint, IAM identity mechanism (IRSA vs Workload Identity), and node type naming. Zeus resolves all three automatically at deploy time.
What you never write
Provider-specific YAML, if-AWS-then branching, per-cloud Terraform modules, or separate Helm values files. One definition; Zeus handles the translation.
Keep sensitive workloads on-prem. Burst to cloud for capacity.
Some workloads can't leave your building — PII, financial records, regulated data. Others just need capacity that's cheaper to buy than to own. Zeus runs both in the same cluster list, connected by the same encrypted overlay.
Proxmox and k3s clusters on your own hardware join the same fabric as your EKS and GKE clusters. A service on-prem can call a service in AWS — encrypted, by name, with no public endpoints and no manual wiring. The clusters look identical from a service perspective regardless of where they run physically.
Not locked to a cloud. Not locked to us.
Your EKS clusters live in your AWS account. Your GKE clusters live in your GCP project. Zeus provisions and manages them, but it doesn't own them — remove Zeus and your clusters keep running. Export your kubeconfig and manage with any tool you like.
That also means you can move workloads between providers when pricing, performance, or compliance pushes you to. The service definition doesn't change — the target cluster does. Changing clouds is adding a cluster and moving a deploy, not a migration project.
How clusters talk to each other across providers.
Explore →Databases that replicate across your clouds.
Explore →Where Zeus itself runs — your call.
Explore →See it run across three providers.
A live demo across EKS, GKE, and Proxmox — one console, one workflow, real clusters.