Cachet vs Prometheus
| Tagline | Open-source, self-hosted status page system for communicating incidents | Industry-standard metrics monitoring and alerting toolkit with PromQL |
| Category | Monitoring & Status Pages | Monitoring & Status Pages |
| Replaces | Statuspage | Datadog |
| GitHub stars | 15k | 66k |
| Language | PHP | Go |
| License | BSD-3-Clause | Apache-2.0 |
| Self-host difficulty | 3/5 Moderate | 4/5 Involved |
| Deploy options | Docker Docker Compose Manual | Docker Docker Compose Kubernetes Manual |
| Managed hosting | ||
| Last updated | 8 days ago | yesterday |
| View repo | View repo |
Where each falls short
The honest trade-offs — what you give up with each, versus the proprietary tools they replace.
Cachet
- Status page only; it does NOT actively monitor your services (you must push incidents via API or integrate a monitor)
- No built-in synthetic checks like Pingdom/UptimeRobot
- The v3 rewrite went through long periods of slow development and reorganization
- Fewer polished integrations and subscriber-tier features than Atlassian Statuspage
Prometheus
- No built-in dashboards UI; you must pair it with Grafana
- Long-term storage and horizontal scale need add-ons (Thanos, Cortex, Mimir)
- No logs, traces, or APM out of the box (metrics only)
- Steeper operational learning curve than turnkey Datadog
Bottom line
Choose Cachet if you want the lower-effort setup; choose Prometheus for the larger community and ecosystem. Prometheus has seen more recent development. Open each guide below for deploy steps and the full feature gap.