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Staged OTA rollouts catch bad Expo updates before everyone gets them

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Staged OTA rollouts catch bad Expo updates before everyone gets them

An over-the-air update that reaches every user at once is a single point of failure wearing a shipping shortcut as a disguise. You fix a typo in the checkout screen, tap publish, and ten minutes later your crash dashboard is a wall of red — on an update you can roll back, but only after everyone already downloaded it.

Staged rollouts fix this. Instead of publishing an EAS Update to your whole production channel in one shot, you release it to a small slice of users first, watch real crash and behavior data, then widen the slice. It is the same discipline web teams learned with canary deploys, applied to Expo OTA updates where the feedback loop is slower and the cost of a bad push is higher.


This is an excerpt. Read the full post at otf-kit.dev/blog/eas-update-staged-rollout-guide — full-stack kits your AI coding agent can actually ship to production. Browse the kits →

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