Match bare metal Kubernetes node roles with workload demand
Run customer-operated Kubernetes on dedicated servers, mapping control-plane, worker, and stateful roles to physical capacity with headroom, measured network paths, and recovery planning.
Bare metal node roles match workload requirements
Match roles to nodes
Map control-plane, worker, and stateful workloads to dedicated nodes so resource pressure stays visible and attributable.
Size nodes by workload
Choose CPU, RAM, storage, bandwidth, and location based on pod concurrency, I/O demand, and network paths under load.
Reserve recovery headroom
Reserve capacity for node maintenance, pod rescheduling, rebuilds, and recovery so cluster behavior remains predictable.
Isolate public ingress
Keep public ingress and APIs isolated from worker-node sizing, with optional DDoS protection for external endpoints.
Available configurations
Need a Custom Build?
Build a Bare Metal Kubernetes Cluster Around Real Workloads.
Kubernetes on bare metal starts by mapping control-plane, worker, and stateful node roles to physical capacity you can measure. CPU, memory, storage I/O, and network paths shape pod behavior under load, so each role needs headroom for representative concurrency, latency targets, maintenance, and defined failure domains across the full cluster.
At Melbicom, we provide dedicated servers for bare metal Kubernetes hosting, so you can assign those roles to isolated hardware with explicit resource limits. Choose CPU, RAM, storage, bandwidth, and location from observed workload pressure, then reserve capacity for rescheduling, maintenance, node rebuilds, and recovery windows across steady and peak conditions.
Your team installs and operates Kubernetes, including cluster networking, storage architecture, observability, security, and application availability. Our infrastructure keeps control-plane and worker capacity distinct, preserves stateful I/O boundaries, and separates ingress exposure; optional DDoS protection applies only to public endpoints, applications, or APIs.
Kubernetes operations that stay predictable
Six operational outcomes teams observe when node roles and capacity align with workload pressure.
Stable pod latency
Visible node saturation
Faster rescheduling cycles
Predictable capacity planning
Clear failure boundaries
Controlled ingress exposure
Kubernetes on bare metal nodes
Dedicated server infrastructure mapped to node roles, workload pressure, and explicit operational boundaries.
Single-tenant node isolation
CPU and RAM role mapping
NVMe storage for stateful pods
Bandwidth aligned to traffic plans
Regional placement by latency paths
Headroom for rebuild and recovery
Network separation for ingress
Optional DDoS protection for APIs
Access to 24/7 technical support
Custom builds in 3–5 business days
Plan cluster capacity
Map node roles, capacity, and locations to measured Kubernetes workload demand.
Talk to an expert
Plan bare metal Kubernetes cluster workloads
Control-plane nodes
Isolate control-plane nodes so API response and scheduling stay stable as customer-operated cluster demand rises.
Worker node pools
Size worker nodes from pod concurrency, CPU, memory, and network demand across representative application loads.
Stateful workloads
Place stateful services on storage-focused nodes so I/O pressure stays isolated from stateless application workloads.
Ingress and APIs
Separate ingress controllers and APIs from core workers so external traffic spikes do not disrupt cluster workloads.
Batch and background jobs
Run batch jobs on separate nodes so queue workloads do not affect latency-sensitive services or user-facing pods under load.
Multi-region clusters
Distribute nodes across regions to match user paths and recovery plans while keeping failure domains clear and isolated.
Public endpoints protection
Apply DDoS protection to exposed ingress and APIs while leaving internal cluster networking and node sizing unchanged.
Plan recovery and rebuilds
Reserve capacity for node rebuilds and rescheduling so recovery stays predictable under sustained cluster load.
FAQ
How do teams divide bare metal hosting and Kubernetes operations?
How should teams plan bare metal Kubernetes cluster recovery?
What is bare metal Kubernetes hosting in practice?
How do you size worker nodes for Kubernetes on bare metal?
Why isolate ingress from worker nodes?
When should teams use custom server configurations?
Does DDoS protection secure the Kubernetes cluster?
How does location affect cluster performance?
Set up your account
Use the control panel to deploy servers and map node roles to available physical capacity.
Create an account
Plan your cluster roles
Share node roles, workloads, and regions with experts to align hardware with Kubernetes design and recovery.
Talk to an expert