A flat per-node monthly management fee. No per-VM licensing. No egress charges. No IOPS metering. Your costs stay predictable no matter how much you use the platform.
Simple, predictable, aligned with your infrastructure — not your usage.
You pay a fixed monthly management fee per physical node in your cluster. The fee covers all operational services: monitoring, patching, upgrades, incident response, and capacity planning.
Spin up as many VMs as your hardware supports. Transfer as much data as your network can carry. There are no per-VM fees, no egress charges, no IOPS metering, and no API call billing.
Add nodes, the management fee grows linearly. No exponential pricing tiers. No minimum commit beyond initial deployment. Volume discounts available at scale.
The cost models are fundamentally different. Here's how.
| Managed OpenStack | AWS / Azure / GCP | |
|---|---|---|
| Pricing unit | Per physical node / month | Per VM-hour + storage + network |
| VM licensing | $0 — no per-VM fee | Per vCPU-hour or reserved instance |
| Egress fees | $0 | $0.08 - 0.12 / GB |
| IOPS charges | $0 | Per provisioned IOPS tier |
| API call billing | $0 | Per 1,000 API calls |
| Cost predictability | Fixed monthly | Variable — usage-based |
| Cost at scale | Decreases per workload | Increases with usage |
| Overprovisioning cost | $0 — use what you have | Idle VMs still billed |
| 3-year TCO (100+ VMs) | 40-60% lower | Baseline |
You've already purchased servers. The marginal cost of running additional VMs on hardware you own is effectively zero. Per-node management pricing respects this reality — it charges for the operational work, not for how much of your own hardware you use.
With hyperscalers, every additional VM, every GB of egress, and every IOPS increase shows up on your bill. With managed OpenStack, your costs are decoupled from your utilization. High utilization is rewarded, not penalized.
When your cloud provider charges per VM-hour, they have no incentive to help you optimize. When we charge per node, our incentive is to keep your infrastructure healthy and well-utilized — because that's what keeps you as a customer.
We recommend hardware upgrades or expansions only when the data supports it. Capacity reviews are part of the service, not a sales motion. If your existing hardware can handle the workload, we'll tell you that.
The per-node fee varies based on your cluster size, SLA tier, and add-on services. A 10-node deployment is priced differently from a 200-node deployment. Contact us with your hardware inventory and workload profile — we'll provide a detailed quote within 48 hours.