A complete metrics and analytics stack for Railway Template creators. featuring automated data collection, PostgreSQL persistence, and pre-configured Grafana dashboards to track revenue, health, and growth.
Hosting Gauge involves deploying a three-tier observability stack specifically designed for Railway template businesses:
- a Bun-powered ingest service that interacts with the Railway GraphQL API and runs via a CRON service.
- a PostgreSQL database for historical snapshot storage
- a provisioned Grafana instance for professional-grade visualization.
The system automatically handles time-series growth calculations (24h, 7d, 30d) and provides deep insights into template retention and revenue momentum outside of Railway's current metrics.
- Revenue Performance Tracking: Monitor lifetime and 30-day earnings across your entire template portfolio.
- Template Health Monitoring: Keep track of health scores to ensure you maintain maximum payout percentages (25%).
- Retention Analysis: Compare active projects against total deployments to calculate real-world retention rates.
- Growth Rate Benchmarking: Identify high-momentum templates using 24-hour, 7-day, and 30-day revenue growth trends.
- Portfolio Risk Management: Visualize revenue concentration to understand which templates drive your business.
None! everything runs on Railway.
- Railway API Token: Required to fetch metrics from your account; should be an account level token.
- Railway Workspace IDs: For the workspace containing your templates. You can get this by hitting
ctrl+kon the dashboard and typingCopy Active Workspace ID - Railway Customer ID: For your account. You can get this by navigating to your Earnings tab, opening your browser's dev tools (
ctrl+shift+I), navigating to the networking tab, and filtering for requests containinginternal?q=unifiedWithdrawalsV2. Go to the "Request" tab and your customerID should be under "Variables" in the request body. - Grafana Documentation: For advanced dashboard customization.
- Railway GraphQL API: The source of truth for all ingested data.
- Click "Deploy on Railway" and provide your Railway API credentials, Customer ID, and Workspace ID in the environment variables.
- Set your desired Grafana admin username.
- Wait 2-3 minutes for the services to initialize.
- Manually configure the ingest service's schedule by going to settings -> Cron Schedule -> Add Schedule
- I would suggest starting with
0 0,12 * * *which would be every 12 hours in UTC time - From now on, your ingest will run on a schedule and pull in your Railway Template metrics
- Grab the automatically generated domain from the Grafana service.
- Grab your generated password from the Grafna Service -> Variables ->
GF_SECURITY_ADMIN_PASSWORDand copy it. - Access your Executive Summary dashboard via the generated domain and username/password.
- OPTIONAL: add a custom domain to your Grafana service so it's easier to remember.
These variables control the collection and processing of Railway API data.
| Variable | Description | Default |
|---|---|---|
RAILWAY_API_TOKEN |
Your Railway personal API token | Required |
RAILWAY_CUSTOMER_ID |
Your Railway Customer UUID | Required |
RAILWAY_WORKSPACE_ID |
Your Railway Workspace UUID | Required |
DATABASE_URL |
PostgreSQL connection string | Provided by Railway |
These variables configure the Grafana instance and its connection to the database.
| Variable | Description | Default |
|---|---|---|
VERSION |
Grafana version to deploy (from grafana/dockerfile) |
latest default |
GF_SECURITY_ADMIN_USER |
Grafana admin username | admin |
DATABASE_HOST |
Database internal hostname | ${{Postgres.RAILWAY_INTERNAL_HOST}} |
DATABASE_PORT |
Database internal port | ${{Postgres.PORT}} |
DATABASE_USER |
Database username | ${{Postgres.POSTGRES_USER}} |
DATABASE_PASSWORD |
Database password | ${{Postgres.POSTGRES_PASSWORD}} |
DATABASE_NAME |
Database name | ${{Postgres.POSTGRES_DB}} |
Each service is pinned to stable versions for production reliability:
- Bun (Ingest):
latest(Alpine) - PostgreSQL: Railway's latest supported version (16+)
- Grafana:
12.3.1(Configurable viaVERSIONenvironment variable)
For Ingest: The ingest service runs as a scheduled worker (Cron) within the stack. It is pre-configured to connect to the internal PostgreSQL instance using the DATABASE_URL.
For Visualization: Grafana is auto-provisioned with a datasource named psql-gauge pointing to the internal database. No manual setup is required to see your metrics.
For Data Export: You can connect external BI tools to the PostgreSQL instance as needed- that data is yours even if you don't want to use Grafana to visualize it.
To customize dashboards or collection logic:
- Fork the GitHub repository.
- Modify the ingest logic in
ingest/index.ts - Update dashboard JSON templates in
grafana/dashboards/templates/to add custom visualizations. - Commit, relink the repo, and push; Railway will automatically redeploy the updated services.
Railway is the premier platform for hosting infrastructure. By deploying Gauge on Railway, you get a self-healing, vertically-scaling observability stack that monitors your Railway business from within Railway.
Leverage the same platform that hosts your templates to analyze their success, ensuring minimal latency and maximum security for your business data.