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Expo outage: Increased rate of workflow runs failing to start

---
title: "Expo Outage Explained: Why Workflow Runs Fail and How to Build Resilient Pipelines"
description: "When an Expo outage hits, your CI/CD pipeline grinds to a halt. Here's how to prepare, respond, and build fault-tolerant workflows around EAS."
date: "2026-02-24"
author: "ScribePilot Team"
category: "general"
keywords: ["expo outage", "eas workflow failures", "expo ci/cd resilience", "react native build pipeline", "eas build fallback"]
coverImage: ""
coverImageCredit: ""
---

Expo Outage Explained: Why Workflow Runs Fail and How to Build Resilient Pipelines

An Expo outage is not a matter of if but when. If you've ever had EAS workflow runs fail to start right before a release deadline, you know the sinking feeling. Every managed CI/CD platform experiences downtime eventually, and Expo's EAS infrastructure is no exception. The question worth asking isn't "will it happen again?" but "how prepared is your team when it does?"

This post breaks down the anatomy of EAS workflow failures, what typically causes them, and, most importantly, concrete strategies to keep shipping when Expo's services go down.

Why EAS Workflow Runs Fail to Start

EAS builds and workflows depend on a chain of services: job orchestration, queue processing, cloud compute provisioning, and artifact storage. A failure at any point in that chain can prevent workflow runs from initiating.

Common triggers for elevated failure rates reportedly include queue saturation during peak usage windows, cloud provider capacity constraints, and issues in the orchestration layer that matches submitted jobs to available build workers. When Expo's status page reports "increased failure rates for workflow run starts," it typically means one of these upstream dependencies is degraded, not that your project configuration is broken.

This affects EAS Build, EAS Submit, EAS Update pipelines, and custom workflows alike. If your CI/CD pipeline triggers any of these as a step, a single point of failure in Expo's infrastructure cascades into your entire release process.

Stop Waiting, Start Building Fallbacks

Here's where most advice articles tell you to "monitor the status page and wait." That's not a strategy. Here's what actually helps.

1. Gate Deployments on Expo's Status Before Running

Don't burn CI minutes submitting jobs into a degraded queue. Check Expo's status programmatically before triggering builds:

`bash #!/bin/bash

check-expo-status.sh

STATUS=$(curl -s https://status.expo.dev/api/v2/summary.json | jq -r '.status.indicator')

if [ "$STATUS" != "none" ]; then
echo "⚠️ Expo status is degraded ($STATUS). Skipping EAS build."
exit 1
fi

echo "Expo status is operational. Proceeding with build."
eas build --platform all --non-interactive
`

Drop this into your CI pipeline as a pre-step. It's cheap, fast, and prevents wasted runs.

2. Implement Exponential Backoff with a Kill Switch

For GitHub Actions workflows, don't just retry blindly. Use exponential backoff with a maximum attempt cap:

`yaml
  • name: EAS Build with Retry
uses: nick-fields/retry@v2 with: timeout_minutes: 30 max_attempts: 4 retry_wait_seconds: 60 command: eas build --platform ios --non-interactive `

Four attempts with increasing wait gives transient failures time to resolve without hammering a struggling service.

3. Maintain a Local Build Escape Hatch

This is the one teams skip until they regret it. Keep a working local build configuration tested and ready:

`bash

Fallback: local iOS build when EAS is down

eas build --platform ios --local `

The --local flag runs the build on your own machine or self-hosted runner. It's slower, requires local toolchain setup, and won't work for every team. But it means you can ship a hotfix on a Saturday night when EAS is unreachable. Test this before you need it.

4. Decouple Your Release Steps

If your pipeline runs build, submit, and update as a single monolithic job, a failure in one blocks everything. Split them into independent, retriable stages. A failed EAS Submit shouldn't force you to rebuild from scratch.

The Bigger Picture: Dependency Risk in Managed Platforms

Relying on any single managed service for your entire build and release pipeline is a calculated bet. Expo's EAS is a strong platform, but "managed" means you're trading control for convenience. That trade-off works great until it doesn't.

The mature response isn't to abandon managed services. It's to design around their failure modes. Teams that treat EAS as a dependency with a known failure rate, rather than an infallible utility, ship more reliably over time.

The Bottom Line

Don't wait for the next Expo outage to find out your pipeline has no fallback. Implement status checks, retry logic, and local build paths now, while everything is green. The twenty minutes you spend today saves the four-hour fire drill next month.

✍️
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