2.0 KiB
2.0 KiB
SGLang Monitoring Setup
This directory contains a ready-to-use monitoring setup for SGLang using Prometheus and Grafana.
Prerequisites
- Docker and Docker Compose installed
- SGLang server running with metrics enabled
Usage
- Start your SGLang server with metrics enabled:
python -m sglang.launch_server --model-path meta-llama/Meta-Llama-3.1-8B-Instruct --port 30000 --enable-metrics
By default, the metrics server will run on 127.0.0.1:30000.
- Start the monitoring stack:
cd examples/monitoring
docker compose up
- Access the monitoring interfaces:
- Grafana: http://localhost:3000
- Prometheus: http://localhost:9090
Default Grafana login credentials:
- Username:
admin - Password:
admin
You'll be prompted to change the password on first login.
- The SGLang dashboard will be automatically available in the "SGLang Monitoring" folder.
Troubleshooting
Port Conflicts
If you see errors like "port is already allocated":
-
Check if you already have Prometheus or Grafana running:
docker ps | grep -E 'prometheus|grafana' -
Stop any conflicting containers:
docker stop <container_id> -
Ensure no other services are using ports 9090 and 3000:
lsof -i :9090 lsof -i :3000
Connection Issues
If Grafana cannot connect to Prometheus:
- Check that both services are running
- Verify the datasource configuration in Grafana
- Check that your SGLang server is properly exposing metrics
Configuration
- Prometheus configuration:
prometheus.yaml - Docker Compose configuration:
docker-compose.yaml - Grafana datasource:
grafana/datasources/datasource.yaml - Grafana dashboard configuration:
grafana/dashboards/config/dashboard.yaml - SGLang dashboard JSON:
grafana/dashboards/json/sglang-dashboard.json
Customization
You can customize the monitoring setup by modifying the configuration files as needed.