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| name | flyio |
| description | Deploy and scale full-stack applications globally on Fly.io platform |
| when-to-use | When deploying web applications, APIs, databases, or microservices that need global distribution and automatic scaling |
| version | 1.1 |
| source | https://fly.io/docs/ |
| generated | "2026-01-21T00:00:00.000Z" |
| updated | "2026-01-21T00:00:00.000Z" |
Fly.io is a platform for deploying full-stack applications and databases globally. It runs your apps on Machines (fast-launching VMs) close to your users and scales compute resources automatically based on demand.
Use Fly.io when you need to:
An app on Fly.io can be anything from a simple frontend web app to a complex arrangement of processes and Machines all doing their own thing. Applications are defined using fly.toml configuration files.
Firecracker micro-VMs that run your application code. Machines can:
The primary deployment framework that manages the complete application lifecycle:
macOS/Linux:
curl -L https://fly.io/install.sh | sh
Windows:
pwsh -Command "iwr https://fly.io/install.ps1 -useb | iex"
fly auth signup # Create new account
fly auth login # Existing account
cd your-app
fly launch
This will:
fly.toml configuration filefly deploy
# Launch new app (interactive)
fly launch
# Launch with custom options
fly launch --name my-app --region ord --no-deploy
# Deploy app updates
fly deploy
# Deploy without rebuilding
fly deploy --image registry.fly.io/my-app:latest
# Check app status
fly status
# View app information
fly info
# Open app in browser
fly open
# View logs
fly logs
# SSH into Machine
fly ssh console
# List all apps
fly apps list
# Destroy app
fly apps destroy my-app
# List Machines
fly machines list
# Create Machine
fly machines run registry.fly.io/my-app:latest
# Stop Machine
fly machines stop <machine-id>
# Start Machine
fly machines start <machine-id>
# Destroy Machine
fly machines destroy <machine-id>
# Scale Machine count
fly scale count 3
# Scale to specific regions
fly scale count 2 --region ord --region iad
# Scale Machine resources
fly scale vm shared-cpu-2x --memory 2048
# Configure autoscaling
fly autoscale set min=1 max=10
# Set secret
fly secrets set DATABASE_URL=postgres://...
# List secrets (names only, not values)
fly secrets list
# Unset secret
fly secrets unset DATABASE_URL
# Import secrets from file
fly secrets import < .env.production
# Create volume
fly volumes create data --size 10
# List volumes
fly volumes list
# Delete volume
fly volumes delete vol_abc123
# Extend volume size
fly volumes extend vol_abc123 --size 20
# Create Postgres cluster
fly postgres create --name my-db
# Attach Postgres to app
fly postgres attach --app my-app my-db
# Create Redis instance
fly redis create --name my-redis
# Connect to Postgres
fly postgres connect --app my-db
# App name
app = "my-app"
# Primary region
primary_region = "ord"
# Build configuration
[build]
dockerfile = "Dockerfile"
# HTTP service
[[services]]
protocol = "tcp"
internal_port = 8080
[[services.ports]]
port = 80
handlers = ["http"]
[[services.ports]]
port = 443
handlers = ["tls", "http"]
# Machine VM size
[vm]
size = "shared-cpu-1x"
memory_mb = 256
# Auto stop/start
[auto_stop_machines]
enabled = true
min_machines_running = 0
[auto_start_machines]
enabled = true
Environment Variables:
[env]
PORT = "8080"
NODE_ENV = "production"
Process Groups:
[processes]
web = "node server.js"
worker = "node worker.js"
HTTP Service with Health Checks:
[[services]]
protocol = "tcp"
internal_port = 8080
[[services.http_checks]]
interval = "10s"
timeout = "2s"
grace_period = "5s"
method = "GET"
path = "/health"
[[services.tcp_checks]]
interval = "15s"
timeout = "2s"
grace_period = "5s"
Mounted Volumes:
[mounts]
source = "data"
destination = "/data"
Pattern: Build high-availability apps using multiple Machines across regions
Key Concepts:
Configuration Example:
[http_service]
internal_port = 8080
force_https = true
auto_stop_machines = "stop"
auto_start_machines = true
min_machines_running = 0
[http_service.concurrency]
type = "requests"
soft_limit = 200
Scaling Commands:
# Add redundancy with multiple Machines
fly scale count 2
# Multi-region deployment for geographic redundancy
fly scale count 20 --region ams,ewr,gig
# Create standby Machine for workers
fly machine clone <id> --standby-for <id>
fly machine run <image> --standby-for <machine-id>
Cost Efficiency:
When to Use:
Available Patterns from Fly.io Blueprints:
Autoscaling Configuration:
[http_service.concurrency]
type = "requests"
soft_limit = 200
hard_limit = 250
[auto_stop_machines]
enabled = true
min_machines_running = 0
[auto_start_machines]
enabled = true
Machine Autoscaling:
# Set autoscaling bounds
fly autoscale set min=2 max=10
# Configure concurrency limits
fly scale concurrency soft=200 hard=250
# Private app autostart/autostop
# (automatically configured for internal services)
Volume Forking:
Distributed Work Queue:
# Deploy worker Machines
fly machines run <image> --env WORKER=true --region ord
# Use standby workers for redundancy
fly machine run <image> --env WORKER=true --standby-for <primary-id>
Cron-Based Task Scheduling:
# Using Supercronic for cron execution
FROM alpine:latest
RUN apk add --no-cache supercronic
COPY crontab /etc/crontab
CMD ["supercronic", "/etc/crontab"]
Infrastructure Automation:
Zero-Downtime Deployments:
# Default behavior with multiple Machines
fly deploy
# Rolling deployment with custom strategy
fly deploy --strategy rolling
Application Rollback:
# List recent releases
fly releases
# Rollback to previous version
fly releases rollback
GitHub Preview Environments:
# .github/workflows/preview.yml
name: Deploy Preview
on: pull_request
jobs:
deploy:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- uses: superfly/flyctl-actions@1.3
with:
args: "deploy --app my-app-pr-${{ github.event.pull_request.number }}"
Staging/Production Isolation:
# Create separate apps for environments
fly launch --name myapp-staging --org staging
fly launch --name myapp-production --org production
# Deploy to specific environment
fly deploy --app myapp-staging
fly deploy --app myapp-production
Per-User Development Environments:
# Create ephemeral dev environment
fly machines run <image> --name dev-$USERNAME --region ord
# Destroy when done
fly machines destroy dev-$USERNAME
FROM node:18-alpine as builder
WORKDIR /app
COPY package*.json ./
RUN npm ci
COPY . .
RUN npm run build
FROM nginx:alpine
COPY --from=builder /app/dist /usr/share/nginx/html
EXPOSE 80
FROM python:3.11-slim
WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY . .
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8080"]
# Deploy to multiple regions
fly deploy --region ord,iad,lhr
# Or configure in fly.toml
[regions]
ord = 2 # 2 Machines in Chicago
iad = 2 # 2 Machines in Virginia
lhr = 1 # 1 Machine in London
fly.toml or Dockerfilefly dashboard for resource consumptionfly logs or integrate with logging servicesApp won't start:
# Check logs
fly logs
# Verify configuration
fly config validate
# SSH into Machine
fly ssh console
Port binding errors:
0.0.0.0 not localhostinternal_port in fly.toml with app's listening portPORT environment variableBuild failures:
# Build locally to test
fly deploy --local-only
# Use remote builder
fly deploy --remote-only
# Check Dockerfile syntax
docker build .
Slow performance:
Database connection issues:
DATABASE_URL secret is setfly status --app my-db.internal)# Community forum
fly open https://community.fly.io
# Documentation
fly docs
# Support
fly support
# Status page
fly open https://status.fly.io
See knowledge/ directory for:
Version: 1.1 Last Updated: 2026-01-21 Source: Fly.io Official Documentation + Blueprints Maintained By: Claude Command and Control