Clusters that assemble themselves, on hardware you own.
A managed database or a managed Kubernetes feels easy on a hyperscaler because the cloud silently hands you three things: nodes you don't have to build, a flat private network, and a load balancer. Bare metal or rented servers give you none of them.
Nodes, a flat network, and a load balancer
Zero-touch provisioning turns any server into a cluster node from a versioned image, and the built-in mesh gives every node a flat private network, which is where replication and quorum traffic lives. Health-checked virtual IPs keep the endpoint available without a cloud load balancer.
Clusters wire themselves up
Every cluster shares one hard part: each node has to know about the others. A machine's configuration can reference the rest of the fleet, so you never hand-write that membership, whether it is a Postgres replica set, a Kafka quorum, or a Kubernetes control plane.
One cluster, several providers, your own rack
Because the network is provider-agnostic, a cluster can span rented metal, a cheap VPS, and hardware in your own rack. GPU nodes join the same way, so an AI cluster is the same exercise as a database one.