When Railway Goes Down: A Survival Guide for Your Team
You shipped a fix at 6 PM and went to dinner. Railway auto-deployed from your main branch. The build succeeded, the deploy went through, and the dashboard shows your service as active. But the new code has a startup error that only surfaces after 30 seconds — the health check passes, the service starts, and then crashes in a loop. Your users have been seeing 502 errors for two hours.
What Happens on Your Team
The Solo Developer
Gets a DM from a user at 8 PM: "Your app has been down for a while." Checks Railway — the service shows as running. Checks the logs — sees a restart loop every 45 seconds. The service starts, runs for 30 seconds, hits an unhandled promise rejection, and crashes. Railway restarts it. Repeat.
The real cost: Railway's dashboard shows the service as 'active' even during a crash loop. The restarts happen fast enough that the platform doesn't mark it as failed. Without external monitoring, the only detection method is user complaints.
What they should have had: An HTTP monitor checking the app every 2 minutes. During the crash loop, most checks would hit the 30-second window where the app is starting up or already crashed — returning connection refused or 502. The alert fires within minutes, not hours.
The Backend Developer
Pushed a database migration that locks a table for 3 minutes. During the lock, every API request that touches that table times out. The frontend shows loading spinners that never resolve. Railway shows the service as healthy because the process is running — it's just not responding to requests.
The real cost: A running process and a responsive service are different things. Railway monitors the process, not the HTTP responses. A service that's alive but returning timeouts looks healthy from the platform's perspective.
What they should have had: A monitor with response time tracking. When the migration locks the table, response times spike from 200ms to 30 seconds. The slow response alert fires before users start complaining about frozen pages.
The Startup CTO
Railway's usage-based pricing is great until your service hits a memory limit and gets OOM-killed. The service restarts, hits the limit again, restarts again. The CTO finds out Monday morning when weekend signups are zero.
The real cost: Usage-based platforms can silently throttle or kill your service when you hit resource limits. There's no proactive notification — you have to notice the problem yourself or wait for users to report it.
What they should have had: External monitoring with weekend alerts. An OOM crash loop on Saturday morning would trigger an alert in minutes. The CTO could either fix the memory issue or bump the resource limits from their phone.
Why Monitor Railway?
Railway abstracts away infrastructure, but abstraction doesn't mean immunity. Deployments cause brief restarts, services can crash without visible errors in the dashboard, and resource limits can silently throttle your app. If your users depend on your Railway-hosted service, you need external eyes on it.
What to Monitor
your-app.up.railway.appYour service's public URLyour-app.up.railway.app/healthCustom health check endpointyour-api.up.railway.app/api/statusAPI availability checkWhat You Should Actually Do
- 1Monitor your Railway service's public URL externally — the Railway dashboard can show 'active' during crash loops
- 2Add a /health endpoint that checks database connectivity — a running process doesn't mean a working app
- 3Track response times to catch migration locks, memory pressure, and cold start delays
- 4Set up alerts for nights and weekends — Railway's auto-deploy means code ships whenever you push, including Friday at 6 PM
- 5Monitor after every deploy — Railway auto-deploys from Git, so every push is a potential outage source
Railway's Official Status Page
Railway publishes real-time status at status.railway.app. Monitoristic doesn't replace this — it complements it. The official page tells you when Railway reports an issue. Your own monitor tells you when your connection is affected, often before the status page updates. You also get push alerts instead of checking a webpage manually.
Railway makes deployment effortless, but effortless deployment means effortless production issues. Every push to main goes live automatically. Every database migration runs in production. Every resource limit is a potential service interruption. External monitoring is the safety net that catches what Railway's dashboard misses — the difference between a running process and a working service.
Related Reading
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