Is Fly.io Down? How to Check Fly.io Status in Real-Time

Is Fly.io Down? How to Check Fly.io Status in Real-Time

Quick Answer: To check if Fly.io is down, visit apistatuscheck.com/api/fly-io for real-time monitoring, or check the official status.flyio.net page. Common signs include machine start failures, deployment timeouts, Postgres connection errors, flyctl command failures, and region-specific connectivity issues.

When your edge-deployed applications suddenly stop responding or deployments hang indefinitely, every minute of downtime affects users across multiple global regions. Fly.io runs applications close to users worldwide through their distributed edge infrastructure, making any platform issues particularly impactful for real-time applications, APIs, and globally-distributed services. Whether you're experiencing machine crashes, database connectivity problems, or deployment failures, quickly verifying Fly.io's operational status can save critical troubleshooting time and help you implement the right recovery strategy.

How to Check Fly.io Status in Real-Time

1. API Status Check (Fastest Method)

The quickest way to verify Fly.io's operational status is through apistatuscheck.com/api/fly-io. This real-time monitoring service:

  • Tests actual platform endpoints every 60 seconds
  • Shows deployment response times and latency trends across regions
  • Tracks historical uptime over 30/60/90 days
  • Provides instant alerts when machines or regions become unavailable
  • Monitors global edge infrastructure (US, Europe, Asia, South America, Oceania)

Unlike status pages that rely on manual updates, API Status Check performs active health checks against Fly.io's production infrastructure, giving you the most accurate real-time picture of service availability across their global edge network.

2. Official Fly.io Status Page

Fly.io maintains status.flyio.net as their official communication channel for service incidents. The page displays:

  • Current operational status for all platform components
  • Active incidents and investigations
  • Scheduled maintenance windows
  • Historical incident reports
  • Region-specific status (iad, lhr, nrt, syd, gru, etc.)
  • Component-specific status (Machines API, Postgres, Volumes, Anycast networking)

Pro tip: Subscribe to status updates via email or RSS feed on the status page to receive immediate notifications when incidents occur in regions critical to your deployment.

3. Test with flyctl Commands

For developers, running diagnostic flyctl commands can quickly confirm platform connectivity:

# Check your apps status
flyctl status --app your-app-name

# List all machines
flyctl machines list

# Check Postgres cluster health
flyctl postgres status --app your-postgres-app

# Test API connectivity
flyctl version --verbose

Look for timeout errors, connection failures, or API response delays exceeding 5-10 seconds.

4. Check Community Channels

Fly.io has an active community that often reports issues before official announcements:

  • Fly.io Community Forum: community.fly.io
  • Discord Server: Join the Fly.io Discord for real-time discussions
  • Twitter/X: @flydotio and search for "#flyio down"
  • Hacker News: Often surfaces during major incidents

Community reports can help identify region-specific issues or emerging problems not yet officially acknowledged.

5. Monitor Your Application Health Checks

Fly.io's built-in health checks provide valuable signals:

# fly.toml
[http_service.checks]
  [http_service.checks.alive]
    interval = "15s"
    timeout = "5s"
    grace_period = "5s"
    method = "GET"
    path = "/health"

If machines are repeatedly failing health checks across multiple regions simultaneously, it may indicate platform-wide networking issues rather than application problems.

Common Fly.io Issues and How to Identify Them

Machine Start Failures

Symptoms:

  • Machines stuck in "starting" state indefinitely
  • flyctl deploy hanging during machine creation
  • Error: "could not start machine: timed out waiting for machine to start"
  • Machines failing to spawn after scaling commands
  • Repeated machine restart loops

What it means: When the Machines API or underlying orchestration system is degraded, new machines cannot initialize properly. This affects deployments, scaling operations, and automatic machine restarts. You'll see machines stuck in transitional states rather than reaching "started" status.

How to diagnose:

# Check machine states
flyctl machines list --app your-app

# View machine events
flyctl machines status <machine-id>

# Check recent logs
flyctl logs --app your-app

Volume and Storage Issues

Common volume-related problems during outages:

  • Cannot create new volumes: Error: volume creation failed
  • Volume attachment timeouts when starting machines
  • Data access failures from attached volumes
  • Volume snapshot/backup operations failing
  • Performance degradation (slow I/O operations)

Impact scenarios:

  • Databases cannot start without volume attachment
  • Stateful applications lose access to persistent data
  • Deployment rollbacks fail due to volume issues

Diagnostic commands:

# List volumes and their states
flyctl volumes list --app your-app

# Check volume attachment status
flyctl volumes show <volume-id>

# Verify volume region availability
flyctl volumes create test_vol --region iad --size 1

Postgres Connectivity Problems

Indicators of Postgres outages:

  • Connection timeouts to Postgres clusters
  • Leader election failures (no primary database available)
  • Replica lag exceeding normal thresholds
  • Proxy connection failures
  • Error: could not connect to server: Connection refused
  • Consistent connection_timeout or too_many_connections errors

What breaks:

  • Application database queries timeout
  • Migrations fail during deployments
  • Connection pools exhaust without recovery
  • Read replicas become unreachable

Health check queries:

# Check Postgres cluster status
flyctl postgres status --app your-postgres-app

# Connect and verify
flyctl postgres connect --app your-postgres-app

# Check replication lag
flyctl postgres config show --app your-postgres-app

# View Postgres events
flyctl postgres events --app your-postgres-app

Connection string test:

// Test Postgres connectivity
const { Client } = require('pg');

async function testPostgres() {
  const client = new Client({
    connectionString: process.env.DATABASE_URL,
    connectionTimeoutMillis: 5000,
  });
  
  try {
    await client.connect();
    const result = await client.query('SELECT NOW()');
    console.log('Postgres healthy:', result.rows[0]);
    return true;
  } catch (error) {
    console.error('Postgres connection failed:', error.message);
    return false;
  } finally {
    await client.end();
  }
}

Deployment Failures

Common deployment error patterns:

  • flyctl deploy hangs at "Waiting for release to complete"
  • Error: "deployment failed: all machines failed to start"
  • Image push failures to Fly.io registry
  • Release command timeouts
  • Blue-green deployment coordination failures

Symptoms:

  • New code cannot be deployed
  • Rollbacks fail or timeout
  • Zero-downtime deployments cause service interruption
  • Build process completes but machines never update

Debugging deployment issues:

# Check deployment status
flyctl status --app your-app

# View deployment history
flyctl releases --app your-app

# Monitor deployment progress
flyctl deploy --detach false --verbose

# Rollback if needed
flyctl releases rollback <version>

Networking and Anycast Issues

Anycast routing problems:

  • Requests routing to wrong regions
  • Elevated latency from specific geographic locations
  • Connection failures from certain ISPs or networks
  • IPv6 connectivity issues
  • TLS handshake failures

Fly.io's Anycast network allows machines to respond from the nearest region, but during issues:

  • Traffic may route to distant regions instead of nearest
  • Some regions become unreachable while others work fine
  • Load balancing between machines becomes uneven

Testing network connectivity:

# Test from different regions
curl -I https://your-app.fly.dev

# Check DNS resolution
dig your-app.fly.dev

# Test with geographic specificity
flyctl curl your-app.fly.dev --region iad

Application-level diagnostics:

// Log which Fly region handled the request
app.get('/health', (req, res) => {
  res.json({
    status: 'ok',
    region: process.env.FLY_REGION,
    machine_id: process.env.FLY_MACHINE_ID,
    timestamp: new Date().toISOString()
  });
});

Region-Specific Outages

Identifying regional problems:

  • Some regions show healthy machines while others are all stopped
  • Deployments succeed in certain regions but fail in others
  • User reports correlate with specific geographic locations
  • flyctl commands timeout when targeting specific regions

Region health check script:

#!/bin/bash
regions=("iad" "lhr" "nrt" "syd" "gru" "fra" "cdg" "hkg")

for region in "${regions[@]}"; do
  echo "Testing region: $region"
  time flyctl machine status --region "$region" --app your-app || echo "FAILED: $region"
done

Multi-region application impact:

  • Users in affected regions experience outages while others work fine
  • Database replication lag increases if primary region is impacted
  • Anycast routing compensates by serving from farther regions (increased latency)

The Real Impact When Fly.io Goes Down

Global Edge Application Disruption

Fly.io's edge computing model means outages can affect users worldwide simultaneously:

  • Real-time applications: WebSocket connections drop, users disconnect
  • API endpoints: Mobile apps and integrations fail across all user locations
  • Content delivery: Edge-cached content becomes unavailable
  • Background jobs: Workers and scheduled tasks stop executing

For applications running exclusively on Fly.io, there's no automatic regional failover to other cloud providers—downtime is immediate and global unless you've architected multi-cloud redundancy.

Real-Time Services Go Dark

Applications that depend on low-latency edge computing are particularly vulnerable:

  • Multiplayer games: Player sessions terminate, matchmaking fails
  • Live streaming: Encoder connections drop, broadcasts interrupt
  • IoT and edge devices: Device telemetry stops flowing
  • Collaborative tools: Real-time synchronization breaks

Time-sensitive revenue impact: A 30-minute outage during peak hours for a gaming app processing 10,000 concurrent users can mean:

  • Lost in-app purchases: $5,000-$15,000
  • Player churn: 5-10% of affected users may not return
  • App store rating damage from negative reviews

Database Unavailability Cascade

When Fly.io Postgres clusters become unavailable:

  • Read and write operations fail across all application instances
  • Connection pools exhaust attempting reconnection
  • Application health checks fail, triggering unnecessary machine restarts
  • Data consistency issues if writes partially succeed before failure
  • Migration and deployment operations blocked until Postgres recovers

Unlike managed databases with multi-cloud redundancy, Fly.io Postgres runs entirely within Fly's infrastructure, meaning no automatic failover to external providers.

Deployment Pipeline Breakage

Development velocity grinds to a halt:

  • CI/CD pipelines fail at deployment stage
  • Hotfixes cannot be pushed to resolve critical bugs
  • Feature releases delayed waiting for platform recovery
  • Rollback operations may fail if deployment infrastructure is impacted

Engineering productivity loss: A 2-hour deployment outage affecting a team of 10 engineers represents 20 person-hours of blocked work, plus delayed time-to-market for critical updates.

Volume Data Access Failures

Applications with persistent storage requirements face severe issues:

  • Uploaded files inaccessible (user content, images, documents)
  • Application state lost if volumes detach unexpectedly
  • Database files unreadable causing complete service failure
  • Backup operations fail preventing disaster recovery prep

Customer Support Overwhelm

The cascading effects create operational burden:

  • Support ticket volume spikes 5-10x during outages
  • Social media mentions and complaints increase
  • Customer trust erodes with each minute of downtime
  • Churn risk increases, especially for business-critical applications

What to Do When Fly.io Goes Down: Incident Response Playbook

1. Implement Multi-Region Deployment for Resilience

Deploy machines across multiple Fly.io regions:

# Scale to multiple regions
flyctl scale count 2 --region iad
flyctl scale count 2 --region lhr
flyctl scale count 2 --region nrt

# Verify distribution
flyctl status

Configure fly.toml for multi-region:

[deploy]
  strategy = "rolling"
  max_unavailable = 0.33

[[vm]]
  cpu_kind = "shared"
  cpus = 1
  memory_mb = 256

[regions]
  primary_region = "iad"
  
# Scale count per region
[[services]]
  internal_port = 8080
  protocol = "tcp"

  [[services.ports]]
    handlers = ["http"]
    port = 80

  [[services.ports]]
    handlers = ["tls", "http"]
    port = 443

Anycast routing automatically directs traffic to healthy regions, but test failover behavior:

// Health check that reports region
app.get('/health', (req, res) => {
  res.json({
    status: 'healthy',
    region: process.env.FLY_REGION,
    machine: process.env.FLY_MACHINE_ID,
    timestamp: Date.now()
  });
});

2. Set Up Robust Health Checks

Configure comprehensive health checks in fly.toml:

[[services]]
  internal_port = 8080
  protocol = "tcp"
  
  [services.concurrency]
    type = "connections"
    hard_limit = 1000
    soft_limit = 800

  [[services.ports]]
    handlers = ["http"]
    port = 80
    force_https = true

  [[services.ports]]
    handlers = ["tls", "http"]
    port = 443

  [[services.tcp_checks]]
    interval = "15s"
    timeout = "5s"
    grace_period = "10s"

  [[services.http_checks]]
    interval = "30s"
    timeout = "10s"
    grace_period = "15s"
    method = "GET"
    path = "/health"
    protocol = "http"
    
    [services.http_checks.headers]
      X-Health-Check = "flyio"

Application-level health endpoint:

const express = require('express');
const { Pool } = require('pg');

const app = express();
const pool = new Pool({ connectionString: process.env.DATABASE_URL });

app.get('/health', async (req, res) => {
  const checks = {
    timestamp: new Date().toISOString(),
    region: process.env.FLY_REGION,
    machine_id: process.env.FLY_MACHINE_ID,
    status: 'healthy'
  };

  // Check database connectivity
  try {
    const result = await pool.query('SELECT 1');
    checks.database = 'connected';
  } catch (error) {
    checks.database = 'disconnected';
    checks.status = 'degraded';
    checks.error = error.message;
  }

  const statusCode = checks.status === 'healthy' ? 200 : 503;
  res.status(statusCode).json(checks);
});

3. Implement Postgres Failover Strategy

Fly.io Postgres high availability setup:

# Create Postgres cluster with replicas
flyctl postgres create --name my-postgres --region iad --initial-cluster-size 3

# Attach to your app
flyctl postgres attach my-postgres --app your-app

# Monitor replication
flyctl postgres config show --app my-postgres

Application-level connection resilience:

const { Pool } = require('pg');

const pool = new Pool({
  connectionString: process.env.DATABASE_URL,
  max: 20,
  idleTimeoutMillis: 30000,
  connectionTimeoutMillis: 10000,
  // Retry connection logic
  retries: 3,
  retryDelay: 1000,
});

// Handle connection errors gracefully
pool.on('error', (err, client) => {
  console.error('Unexpected database error:', err);
  // Implement alerting here
});

// Retry wrapper for critical queries
async function queryWithRetry(queryText, params, retries = 3) {
  for (let i = 0; i < retries; i++) {
    try {
      return await pool.query(queryText, params);
    } catch (error) {
      if (i === retries - 1) throw error;
      console.warn(`Query failed (attempt ${i + 1}), retrying...`);
      await new Promise(resolve => setTimeout(resolve, 1000 * Math.pow(2, i)));
    }
  }
}

External database backup strategy:

# Automated daily backups to S3
flyctl postgres backup create --app my-postgres

# Or use pgdump to external storage
flyctl postgres connect --app my-postgres
pg_dump $DATABASE_URL | gzip | aws s3 cp - s3://my-backups/postgres-$(date +%Y%m%d).sql.gz

4. Multi-Cloud Failover Architecture

For mission-critical applications, implement true multi-cloud redundancy:

DNS-based failover with health checks:

// Cloudflare Workers or AWS Route 53 health checks
// Primary: your-app.fly.dev
// Failover: your-app-backup.herokuapp.com (or Render, Railway, etc.)

// Configure TTL low (60s) for fast failover

Application deployment strategy:

  • Primary: Fly.io (edge performance, primary traffic)
  • Secondary: Render, Railway, or Vercel (backup during Fly.io outages)
  • Database: Separate managed Postgres (Neon, Supabase, PlanetScale) outside Fly.io

DNS failover example (Cloudflare):

// Cloudflare Worker for intelligent routing
addEventListener('fetch', event => {
  event.respondWith(handleRequest(event.request))
});

async function handleRequest(request) {
  const primaryUrl = 'https://your-app.fly.dev';
  const backupUrl = 'https://your-app.herokuapp.com';
  
  try {
    const controller = new AbortController();
    const timeoutId = setTimeout(() => controller.abort(), 5000);
    
    const response = await fetch(primaryUrl + request.url.pathname, {
      signal: controller.signal,
      headers: request.headers
    });
    
    clearTimeout(timeoutId);
    
    if (response.ok) {
      return response;
    }
  } catch (error) {
    console.log('Primary failed, using backup:', error.message);
  }
  
  // Failover to backup
  return fetch(backupUrl + request.url.pathname, {
    headers: request.headers
  });
}

5. Monitoring and Alerting Setup

Comprehensive monitoring strategy:

// Internal monitoring script
const axios = require('axios');
const regions = ['iad', 'lhr', 'nrt', 'syd', 'gru'];

async function checkRegionalHealth() {
  const results = await Promise.allSettled(
    regions.map(region => 
      axios.get(`https://your-app.fly.dev/health`, {
        timeout: 5000,
        headers: { 'Fly-Region': region }
      })
    )
  );
  
  const failures = results.filter((r, i) => {
    if (r.status === 'rejected') {
      console.error(`Region ${regions[i]} failed:`, r.reason.message);
      return true;
    }
    return false;
  });
  
  if (failures.length >= 3) {
    // Alert - multiple regions down, likely platform issue
    await sendAlert('Fly.io platform issue detected - multiple regions failing');
  }
}

setInterval(checkRegionalHealth, 60000); // Check every minute

Subscribe to external monitoring:

  • API Status Check Fly.io monitoring with Slack/email alerts
  • Configure PagerDuty or OpsGenie integration
  • Set up Datadog or New Relic synthetic checks from multiple locations

6. Diagnostic Commands Reference

When issues occur, run these diagnostics:

# Check overall app health
flyctl status --app your-app

# List all machines and their states
flyctl machines list --app your-app

# Get detailed machine information
flyctl machines status <machine-id>

# View recent logs
flyctl logs --app your-app

# Check for platform issues
flyctl doctor

# Test deployment (dry run)
flyctl deploy --dry-run

# Scale test (verify platform API responsiveness)
flyctl scale show --app your-app

# Postgres diagnostics
flyctl postgres status --app your-postgres
flyctl postgres config show --app your-postgres
flyctl postgres events --app your-postgres

# Network diagnostics
flyctl ips list --app your-app
flyctl curl https://your-app.fly.dev/health

# SSH into a running machine for debugging
flyctl ssh console --app your-app

7. Communicate with Users Proactively

Status page setup:

// Simple status page endpoint
app.get('/status', async (req, res) => {
  const checks = {
    api: 'operational',
    database: 'operational',
    deployments: 'operational',
    updated: new Date().toISOString()
  };
  
  // Check Fly.io platform status
  try {
    const flyStatus = await axios.get('https://status.flyio.net/api/v2/status.json');
    checks.platform = flyStatus.data.status.indicator;
  } catch (error) {
    checks.platform = 'unknown';
  }
  
  res.json(checks);
});

User notification template:

"We're currently experiencing deployment issues on Fly.io's platform affecting our edge infrastructure. Your data is safe, and we're monitoring the situation closely. Expected resolution: [time]. Follow updates: [status page link]"

Post-incident communication:

  • Send email to affected users explaining what happened
  • Publish post-mortem on your blog/docs
  • Offer service credits or compensation if appropriate
  • Explain what you're doing to prevent recurrence

8. Post-Outage Recovery Checklist

Once Fly.io service is restored:

  1. Verify all machines are running

    flyctl machines list --app your-app | grep stopped

  2. Check Postgres cluster health and replication lag

    flyctl postgres status --app your-postgres

  3. Review application logs for errors during outage

    flyctl logs --app your-app | grep -i error

  4. Test deployments work

    flyctl deploy --app your-app

  5. Verify volumes are accessible

    flyctl volumes list --app your-app

  6. Check for stuck or zombie machines

    flyctl machines list --app your-app --all

  7. Analyze performance metrics to ensure normal operation resumed

  8. Document incident details for future reference

  9. Review and update monitoring/alerting based on gaps discovered

  10. Consider architectural improvements (multi-cloud, external DB, etc.)

Frequently Asked Questions

How often does Fly.io go down?

Fly.io maintains strong uptime, typically exceeding 99.9% availability across their global infrastructure. Major platform-wide outages are relatively rare (2-4 times per year), though regional or component-specific issues (individual region outages, Postgres issues) occur more frequently. Most production apps experience less than 2 hours of Fly.io-related downtime annually. However, as a smaller platform compared to AWS/GCP/Azure, incident response times may vary.

What's the difference between Fly.io status page and API Status Check?

The official Fly.io status page (status.flyio.net) is manually updated by Fly's team during incidents, which can sometimes lag behind actual issues by 5-15 minutes. API Status Check performs automated health checks every 60 seconds against live Fly.io endpoints and your deployed applications, often detecting issues before they're officially reported. Use both for comprehensive monitoring—status.flyio.net for official incident updates and API Status Check for immediate detection.

Should I run Fly.io Postgres or use an external managed database?

Fly.io Postgres pros:

  • Collocated with your application (lowest latency)
  • Integrated with Fly platform (simple setup)
  • Cost-effective for smaller workloads
  • Good for development and staging environments

External managed database (Neon, Supabase, PlanetScale) pros:

  • Independent from Fly.io platform outages
  • Multi-cloud redundancy and automatic failover
  • More mature backup and recovery tools
  • Better for production mission-critical applications
  • Geographic distribution options

Recommendation: For production apps where database availability is critical, use an external managed Postgres provider. This decouples your data layer from Fly.io's infrastructure, providing resilience against platform outages.

How do I prevent deployment downtime during Fly.io deployments?

Configure zero-downtime deployments in fly.toml:

[deploy]
  strategy = "rolling"
  max_unavailable = 0.33  # Keep 67% of machines available during deploy

[[services]]
  min_machines_running = 2  # Always maintain at least 2 machines

  [services.concurrency]
    type = "requests"
    soft_limit = 200
    hard_limit = 250

Additionally, implement health checks so new machines aren't added to rotation until fully healthy, and old machines aren't terminated until new ones are confirmed working.

Can I run Fly.io machines across multiple cloud providers for redundancy?

No, Fly.io's infrastructure runs entirely within their own network. For true multi-cloud redundancy, you need to deploy to multiple platforms (e.g., primary on Fly.io, backup on Render, Railway, or Vercel) and use DNS-based failover with health checking. This adds operational complexity but provides resilience against any single platform's outages.

What regions should I deploy to for maximum availability?

Deploy to at least 3 regions across different geographic areas:

High availability strategy:

  • North America: iad (Ashburn) or ord (Chicago)
  • Europe: lhr (London) or fra (Frankfurt)
  • Asia: nrt (Tokyo) or sin (Singapore)

This provides redundancy if any single region experiences issues and improves global latency for users. Monitor your traffic patterns and add regions where you have significant user concentrations.

How long do Fly.io outages typically last?

Based on historical incidents:

  • Minor regional issues: 10-30 minutes
  • Significant component outages (Postgres, Machines API): 1-3 hours
  • Major platform-wide incidents: 2-6 hours
  • Severe infrastructure issues: 6-12+ hours (rare)

Most issues resolve within 1-2 hours. Fly.io's engineering team typically responds quickly, and the status page provides regular updates during incidents.

Is flyctl not working during Fly.io outages?

During platform outages, flyctl commands may fail or timeout because they communicate with Fly.io's API. Common failures:

  • flyctl status - times out if Machines API is down
  • flyctl deploy - cannot complete if deployment infrastructure is unavailable
  • flyctl logs - may fail to retrieve logs from machines
  • flyctl postgres connect - cannot establish connection if Postgres infrastructure is impacted

However, your running applications may continue working even if flyctl commands fail, as the data plane (serving traffic) is separate from the control plane (management API).

What monitoring should I set up for Fly.io applications?

Essential monitoring:

  1. Platform health: API Status Check for Fly.io - monitors Fly.io platform availability

  2. Application health: Synthetic checks from external locations (Pingdom, UptimeRobot, Checkly)

  3. Multi-region health: Test endpoints in each deployed region

  4. Database monitoring: Postgres connection pool metrics, query latency, replication lag

  5. Error rate tracking: Application error logging and alerting (Sentry, Rollbar)

  6. Performance metrics: Response times, throughput, resource utilization

  7. Deployment monitoring: Track deployment success/failure rates

Set up alerts to trigger when multiple regions fail simultaneously (likely platform issue) vs. single region (regional outage).

How do I handle Fly.io Volumes during outages?

During outages:

  • Volumes may become inaccessible if the region's storage infrastructure is impacted
  • Machines cannot start without attached volumes if they depend on them
  • New volume creation may fail
  • Volume snapshots/backups may be delayed

Best practices:

  • Keep critical volume backups in external object storage (S3, R2, Backblaze B2)
  • Use volume snapshots regularly: flyctl volumes snapshots create <volume-id>
  • For databases, maintain external backups via pg_dump or continuous WAL archiving
  • Test volume restoration procedures before you need them
  • Consider volume replication across regions for critical data

Recovery steps:

# Check volume status after outage
flyctl volumes list --app your-app

# Create new volume from snapshot if needed
flyctl volumes create my_vol --snapshot-id <snapshot-id> --region iad

# Attach volume to machine
flyctl machine update <machine-id> --volume <volume-id>

Stay Ahead of Fly.io Outages

Don't let edge deployment issues catch you off guard. Subscribe to real-time Fly.io alerts and get notified instantly when issues are detected across any region—before your users notice.

API Status Check monitors Fly.io 24/7 with:

  • 60-second health checks across all major regions
  • Instant alerts via email, Slack, Discord, or webhook
  • Historical uptime tracking and incident reports
  • Multi-platform monitoring for your entire infrastructure stack

Related monitoring guides:

Start monitoring Fly.io now →

Last updated: February 4, 2026. Fly.io status information is provided in real-time based on active monitoring. For official incident reports, always refer to status.flyio.net.

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