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