Railway's API slowed down and deployments got stuck for some users for 3h 50m on 29 September 2026. The fault sat with Railway's own API, not with anything you configured in your project.
Started
15:29 UTC
Duration
Lasted 3h 50m
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 logged one incident on this day, starting at 15:29 UTC. The incident title describes API degradation causing slow or stuck deployments. The first update, posted at 15:29, says Railway was aware of an issue affecting its API that was causing slow or stuck deployments for some users, and that it was investigating. The next and final update came more than three hours later, at 18:37, saying recovery was underway and that the incident was being monitored, with Hobby deployments specifically called out as re-enabled. That is the full public record for this incident: two updates, three hours and eight minutes apart, and no further update closing it out formally. Railway's status page does not name a root cause for the degradation, so none can be given here. No components are listed as affected in the record. There were no user reports filed in this window on UptimeRobot's side. Railway's own history shows this kind of thing is not rare: 23 incidents in the past 90 days, with a median duration of 1 hour 2 minutes, which makes this day's 3h 50m longer than the typical fix. Across all time Railway has logged 544 incidents, averaging 10.1 per month. A single incident like this one is one data point against that backdrop, not an anomaly to be read into too deeply.
Learning
This incident sat in Railway's API and deployment pipeline, the layer that takes your build and actually ships it, not in the layer that serves already-running traffic. That is exactly the kind of fault your own endpoint checks will not catch, because your app was still up and answering while new deployments sat stuck or slow behind the scenes. UptimeRobot's own 30 day figures for Railway show 4 incidents, all resolved, with a median duration of 1h 12m, gathered from watching Railway's side directly rather than waiting on your product to show symptoms. The shape to recognise is simple: when deploys slow or stall but your running service looks fine, check whether the platform's control plane is degraded before you start debugging your own build. Your monitoring covers your half, UptimeRobot now watches the provider's half too, so next time you know which side broke without guessing.
