Fly.io vs Railway
Pricing
Fly.io: Free tier (3 shared VMs), usage-based from $1.94/mo per VM
Railway: Free tier, usage-based from $5/mo
Description
Fly.io: Deploy Docker containers to servers around the world with a single command
Railway: Deploy apps, databases, and services with zero configuration
Pros
- Run your app in 30+ regions close to users: real global distribution, not just CDN caching
- Free tier includes 3 shared-cpu VMs with 256MB RAM each, enough for small apps
- Built-in Postgres, Redis, and object storage so you can run a full stack
- One-click Postgres, Redis, and MySQL: databases ready in seconds
- Auto-detects your framework and sets up the build pipeline
- Usage-based pricing means you only pay for what you actually use
Cons
- Steeper learning curve than Railway or Render: you need to understand Dockerfiles and fly.toml config
- Billing can be unpredictable: outbound bandwidth costs and machine scaling add up
- Support response times on free tier are slow: community forum only
- Always-on services can cost $20-50/month or more, not cheap for background workers
- Less control over infrastructure than a VPS
- Newer platform with occasional growing pains
Details
Fly.io takes your Docker container and runs it on servers around the world. Your app in Tokyo, Sao Paulo, and Amsterdam simultaneously, not behind a CDN, but actually running there. For apps where latency matters (real-time features, APIs, databases), this is the real deal.
The free tier gives you 3 shared VMs with 256MB RAM each, which can run a small app and a Postgres database. Beyond that, pricing is usage-based starting at $1.94/month for a shared-cpu VM. The tradeoff versus Railway or Render is complexity: Fly gives you more control over where your code runs, but you need to understand containers, config files, and networking basics. If you just want to push code and forget about it, Railway is easier. If you want your API to respond in under 50ms for users worldwide, Fly.io is worth the setup.
Railway removes the DevOps from deploying full-stack apps. Connect your repo, it detects your framework, provisions databases, and handles environment variables. You go from code to production in minutes without touching a Dockerfile.
The usage-based pricing is a double-edged sword. A side project that gets light traffic costs almost nothing. A production app with background workers and a database can easily run $30-50/month. Great for quick deploys and prototypes; keep an eye on costs if your app runs 24/7.
Verified
