How we run microVMs on bare metal.

Containers share the host kernel. That's fine until it isn't: a shared kernel is a shared blast radius and a shared scheduler. Atlasflow runs each app in its own microVM with its own kernel, isolated in hardware by Cloud Hypervisor.

You get the security boundary of a virtual machine with the start-up speed and density of a container, and nothing your app can't run.

Your microVMs run on real machines in our racks, not on instances rented from a hyperscaler and marked up. We control the host, the network, and the placement, so there's no extra layer taking a cut of your performance or your bill.

Operating the metal ourselves is what lets us promise no noisy neighbor stealing your CPU: we place workloads, we cap them, and we keep headroom.

Serverless trades cold starts for elasticity. We don't make that trade. A microVM boots in a fraction of a second and then stays running, so the first request after a quiet period is as fast as the last one before it.

You still only pay by the second for the compute, memory, storage, and traffic you use, with no per-request fee and no rounded-up hour.

You declare the state you want; a control plane continuously reconciles reality to match it. New versions only take traffic once they pass health checks, so a broken release never reaches a user and a failed one rolls back without you. An instance that stops answering its probes is replaced before anyone notices.

Your data sits on ZFS-backed durable storage on the same hosts, so state survives the churn of deploys and replacements.

You grow by placing more workloads on more metal, not by rewriting your app for a different runtime. There is no point where you've outgrown the platform and have to move to a hyperscaler.

The foundation you start on is the one built to hold under load: the right way to start and the way that scales are the same way.