A monitoring VPS should be reliable, inexpensive, and independent from the infrastructure it watches. The server may host simple uptime checks or a complete stack with Prometheus, Grafana, Alertmanager, exporters, and logs.
The required size depends much more on metrics retention and cardinality than on the number of dashboards.
Key takeaways
- Use an independent provider or region when possible.
- 1 GB is enough for basic uptime monitoring; 4 GB is more practical for Prometheus plus Grafana.
- Metrics retention drives disk requirements.
- Alerting should have at least one path independent of the monitored system.
- Monitoring infrastructure needs backups too.
Simple uptime vs full observability
Uptime Kuma or a lightweight probe can run in 1 GB. Prometheus plus Grafana is more resource-intensive and often starts more comfortably at 2 GB to 4 GB depending on metrics volume.
Loki or long-term logs can dominate storage quickly and should be planned separately.
Independent placement
Monitoring the production provider from the same provider can hide network-wide failures. An external VPS offers a separate perspective.
For multi-region systems, more than one monitoring vantage point can distinguish application failure from routing problems.
Storage and retention
Metrics and logs accumulate continuously. Define retention and monitor disk growth rather than allowing the filesystem to become the outage trigger.
Remote storage is useful when long-term observability data exceeds what one VPS should hold.
Alerts and recovery
Configure alerts through channels that do not depend on the same application stack. Back up dashboards, alert rules, and monitoring configuration.
Monitoring should be simple enough to restore during an incident.
Frequently asked questions
How much RAM for a monitoring VPS?
One gigabyte is enough for basic uptime checks; Prometheus plus Grafana often benefits from 2 GB to 4 GB.
Should monitoring use another provider?
Yes when practical, because independent infrastructure can detect provider-wide outages.
What uses the most storage in monitoring?
Metrics retention and logs are common drivers, especially with high cardinality or long retention periods.
Do I need dedicated CPU?
Usually not for small monitoring stacks.