Attached storage performance degraded for some Railway users in US West for 3h 42m on 4 October 2026. Railway's own status page attributes the slowdown to a storage issue on its side, not anything in your application code.
Started
02:47 UTC
Duration
Lasted 3h 42m
Source
IsDown
Next time
Railway is degraded. Is your product working?
An incident on their side does not always mean an outage on yours, and the only way to know is to already be watching your own endpoints. Set that up in under a minute and you will be notified the next time your own site is affected. And there will be a next time.
50 monitors for your own websites. No card.
What happened?
Railway's status page first flagged the problem at 00:34 UTC, saying it was aware of an issue affecting attached storage performance for some users in US West. The symptoms listed were slow services and databases, queries taking longer than expected, deploys that were slow to become healthy, and intermittent crash loops. The incident itself is timestamped as starting 02:47 UTC and ran for 3h 42m in total. At 04:50 UTC Railway said it had identified the cause, though it did not say what that cause was. By 06:08 UTC the company reported storage performance was improving, with latency gradually decreasing as remediation continued. The final update at 06:14 UTC said storage performance had returned to normal, with latency back to baseline and write operations resumed at expected levels, while Railway kept monitoring for stability. No components list was published alongside this incident. One user report fell inside the window: someone in India wrote at 03:31 UTC that "railway and my hosted website are not opening.." That single report lines up with the storage degradation Railway described, since a slow or stalled storage layer can make both the platform and anything hosted on it appear unreachable. Railway has not published a post-mortem explaining the underlying cause of the storage degradation. Over the last 90 days Railway has logged 26 incidents with a median duration of 1 hour 15 minutes, so this one ran longer than typical.
Learning
This incident sat in Railway's storage layer, underneath whatever your own application or database is doing, which is exactly the kind of fault an endpoint check on your own service can miss or only partially catch. If your product was returning slow responses or crash loops during this window, a probe hitting your own URL might still have come back green between retries, because the symptom was degraded performance rather than a clean outage. That is why Railway's own storage layer needs separate watching from whatever you run on top of it. UptimeRobot's 30 day data for Railway shows 7 incidents, all resolved, with a median duration of 1h 50m, which is the kind of pattern that only becomes visible when you track the provider directly rather than inferring it from your own app's uptime. Your monitoring covers your half, UptimeRobot now watches the provider's half too, so next time you know which side broke without guessing.
