Open-source, OpenTelemetry-native observability platform that brings logs, metrics, traces, alerts and dashboards into one self-hostable tool.
PVRLabs/statlite
Lightweight self-hosted monitoring for apps on VPSs and small servers, storing history in SQLite without Prometheus or Grafana.
Alternativa open source a:Datadog
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- Último commit
- hace 3 días
Funciones clave
- 01Polls multiple applications and stores metrics in a local SQLite database.
- 02Auto-discovers Spring Boot, Quarkus, and Micronaut apps via `statlite inspect`.
- 03Provides built-in historical charts for traffic, latency, CPU, and memory.
- 04Offers a simple JSON metrics endpoint for applications in other languages.
- 05Can monitor StatLite's own health and host resources.
- 06Ships as a single binary and as Docker images for amd64 and arm64.
Casos de uso
- Monitoring a Spring Boot API running on a single VPS without a Prometheus stack.
- Keeping metric history on your own server instead of sending it to a SaaS monitoring service.
- Adding basic monitoring to a small FastAPI, Express, or Django service with a minimal endpoint.
- Watching host CPU and disk on a small server where StatLite itself runs.
Temas
Preguntas frecuentes
- ¿Qué es statlite?
- Lightweight self-hosted monitoring for apps on VPSs and small servers, storing history in SQLite without Prometheus or Grafana.
- ¿statlite es gratuito? ¿Qué licencia tiene?
- statlite es open source bajo la licencia MIT. Revisa los términos de la licencia antes de usarlo en productos comerciales.
- ¿statlite sigue mantenido?
- Mantenimiento activo. El último commit de statlite fue el 16 oct 2026.
- ¿Para qué puedo usar statlite?
- Monitoring a Spring Boot API running on a single VPS without a Prometheus stack. Keeping metric history on your own server instead of sending it to a SaaS monitoring service. Adding basic monitoring to a small FastAPI, Express, or Django service with a minimal endpoint. Watching host CPU and disk on a small server where StatLite itself runs.
- ¿Dónde consigo statlite?
- El código fuente y las instrucciones de instalación están en GitHub: https://github.com/PVRLabs/statlite
Resumen generado por IA a partir del README del proyecto. Las estadísticas de GitHub se actualizan a diario.
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