Run customer-operated n8n on cloud VPS or dedicated servers sized for workflow concurrency, payloads, database I/O, and webhook traffic, so capacity and operating decisions remain under your control.
Track concurrency, run duration, memory peaks, database I/O, and payload size before comparing capacity and price.
Give development, separated clients, and routine automations independent virtual capacity sized to compact demand.
Reserve CPU and memory for sustained workers, large payloads, and consolidated databases under representative load.
Keep full control of isolated capacity while security, access, and every operating decision stay with your team.
Self-hosted n8n demand is shaped by execution concurrency, run duration, payload size, webhook bursts, database activity, and retention policy. A routine automation instance and a queue-driven worker estate can share the same software while placing very different pressure on CPU, memory, storage I/O, and network capacity under load.
At Melbicom, we offer both cloud VPS and dedicated server hosting to match that demand. Choose a virtual-server footprint for compact instances, development, or separated tenants; use isolated hardware for sustained parallel workers, consolidated databases, large binary payloads, or estates where physical resource attribution matters.
The software boundary remains yours, so your team controls the deployment model, OS, credentials, webhook endpoints, databases, queues, monitoring, backups, and recovery. We supply the selected infrastructure, regional placement, bandwidth options, and 24/7 technical support while workflow and application operations remain under your direction.
Run routine schedules, notifications, approvals, and data syncs on compact capacity sized from measured demand.
Run development and test workflows on separate capacity, keeping dependencies and releases under your control.
Assign cloud VPS instances to client or team tenants, preserving separate capacity and clear operating boundaries.
Place webhook endpoints by region and size bandwidth from request volume, payload size, and dependent API demand.
Reserve isolated CPU and memory for sustained queue workers, retries, and long executions under measured load.
Store large binary payloads with execution history, backups, and recovery data on capacity sized for demand.
Run database-heavy estates on dedicated capacity for clear I/O attribution, retention, and maintenance headroom.
Consolidate workers, databases, and runtime on isolated hardware while your team owns every software layer.
