Infrastructure
Operated like infrastructure, not a side-button
This page explains the operating model: how workloads are separated, monitored, and maintained so the platform stays stable even when capacity is small.
Core principles
- Predictability over scale: stable performance is the goal; capacity is throttled to keep it that way.
- Isolation first: workloads are separated so one noisy service does not wreck the rest.
- Visibility: if it cannot be monitored, it cannot be promised.
- Backups are normal: recovery is designed in, not bolted on after loss.
How workloads are kept separated
For VMs, isolation is handled at the hypervisor layer. For containers, isolation is handled by host-level controls and per-service resource limits. Where appropriate, services are segmented by network rules to limit blast radius.
Monitoring and uptime discipline
The platform focuses on practical signals: resource saturation, disk health, backup success, and service reachability. When a host is under stress, new provisioning is paused rather than pretending “unlimited” is real.
Change management
- Updates are staged and scheduled when possible.
- Risky changes (kernel/storage/network) are treated as maintenance, not casual edits.
- Service owners get expectations up front (what is managed vs what is self-managed).