A lightweight, self-hosted metrics dashboard with a small memory and operational footprint, designed for applications running on VPSs and small servers. A single Go binary monitors Spring Boot applications through Actuator and other applications that expose a small, fixed JSON metrics endpoint, without requiring Prometheus or Grafana. It stores focused health, traffic, latency, CPU, memory, and optional host metrics in SQLite.
Website: pvrlabs.xyz/statlite
Learn how to set up lightweight Spring Boot monitoring without Prometheus and Grafana.
docker run --rm \
-p 127.0.0.1:9090:9090 \
ghcr.io/pvrlabs/statlite:latestOpen http://127.0.0.1:9090. StatLite monitors itself by default, so the dashboard starts with live data.
See the Docker guide for persistent storage, container networking, local builds, and access guidance.
StatLite is intentionally focused and is not a replacement for Prometheus and Grafana.
See Installation for the release installer, Homebrew, and source-build instructions.
Point StatLite at a Spring Boot application's Actuator endpoint:
targets:
- name: "my-app"
actuator_base_url: "http://localhost:8080/actuator"See Configuration for all settings and examples/
for Spring Boot, Python/FastAPI, self-monitoring, and multi-target configurations.
Warning
StatLite has no built-in dashboard or API authentication. Review the server and access guidance before exposing it remotely.
- Spring Boot Actuator: Collects health, request, JVM, process, and optional host metrics from Actuator endpoints.
- StatLite Metrics v1: A small, fixed JSON endpoint that applications in any language or framework can implement.
- StatLite self-monitoring: StatLite can report its own health, traffic, process, and host metrics.
Depending on the integration, StatLite can also collect CPU, memory, and disk metrics for the environment running the application.
- Installation
- Docker
- Configuration
- StatLite Metrics v1
- systemd deployment
- Product and architecture
- Spring Boot guide
- Examples
MIT