Fly.io vs Railway 2026 — Hosting for Solo Developers

Railway is the right call for most solo developers in 2026. Zero-config deploys, sleep-based billing that approaches $0 at low usage, built-in CI/CD, and — as of March 2026 — a managed HA Postgres you don’t have to babysit. Fly.io earns its keep when you genuinely need its 18 edge regions, always-on machines, or GPU workloads. If none of those describe your project, Fly’s operational surface is complexity you’re paying for in time, not value.

Who this is for

Solo developers and indie hackers choosing a PaaS for a side project or SaaS MVP. If you’re running Kubernetes or managing a fleet of services, neither platform is your answer and this article isn’t for you.

TL;DR

	Railway	Fly.io
DX	Zero-config, GitHub push-to-deploy	Dockerfile + CLI, manual CI/CD
Free tier	Free tier (idle credits)	3 shared VMs included
~$10/mo bill	1 always-on 1 vCPU / 512 MB service	1 shared-cpu-2x / 512 MB, 24/7
~$50/mo bill	2–3 services + Postgres HA	3–4 services + Fly Managed Postgres
Postgres	Managed HA since March 2026	Fly Managed Postgres ($38/mo+), deprecated self-hosted
Sleep on idle	Yes, configurable	Yes (`stop` or `suspend`)
Regions	4 (US West, US East, EU, Singapore)	18 (global)
Spending cap	Yes (hard cap, email alerts)	No native cap
Affiliate	✓ $20 credit for new signups	No public program

Pricing reality

What you actually pay at three usage levels

$0/mo — an app that sleeps. Railway’s idle services scale to zero and billing pauses. A hobby project that gets traffic only during waking hours lands comfortably inside the free-tier credits most months. This is the sleep dividend the comparison usually glosses over: if your app gets 100 requests per day and none at 3am, you’re not paying for 3am.

~$10/mo — one always-on web service. On Railway, disabling sleep on a 1 vCPU / 512 MB service runs roughly $8–10/mo on the Hobby plan ($5 base fee + usage). On Fly.io, a shared-cpu-2x machine with 512 MB RAM running 24/7 in North America costs about $4–6/mo metered — potentially cheaper on paper. But Fly’s billing surface is wider: you’re also paying $2/mo for a dedicated IPv4, $0.15/GB/month for volumes (even when stopped), and $0.02/GB egress. That “cheaper” machine often lands in the same range once you account for the full bill.

~$50/mo — an app with a database. This is where the comparison diverges most. Railway’s Hobby Postgres HA (launched March 2026, now generally available) adds a managed, replicated database to your stack — check current pricing on railway.app/pricing. Fly’s equivalent is Fly Managed Postgres, starting at $38/mo for the entry tier — which is nearly your entire $50 budget before you’ve paid for the app itself. The math changes fast.

Fly.io’s billing gotchas

No spending cap, no native billing alerts. You can set a credit card limit as an external backstop, but Fly provides nothing built-in. Community billing surprises cluster around four areas:

Volume snapshots: became billable in January 2026. Volumes that existed before the change started accumulating snapshot charges without an explicit notification to all users.
MPG inter-region charges: Fly Managed Postgres nodes placed across regions incur inter-region traffic charges, billed at $0.006/GB (N. America ↔ Europe) and $0.015/GB (Asia Pacific) — costs scale directly with how much data your nodes replicate across regions (see fly.io/docs/about/pricing/).
Volumes persist after app deletion: deleting a Fly app does not delete its volumes. You must fly volumes destroy explicitly. Forgotten volumes from experimental apps have burned people.
Managed Postgres and Redis persist after app deletion: same pattern. Both keep billing until explicitly destroyed.

Railway’s hard spending cap is the single clearest reason to start there. A misconfigured autoscaler or an accidentally-kept database won’t result in a four-digit invoice. The platform kills workloads when you hit the cap and emails you before that point.

Cold-start UX — first deploy

Railway: fifteen minutes from zero

Connect your GitHub repo. Railway detects Node.js, Bun, Deno, Python, Ruby, Go, Rust, and others without a Dockerfile. Set environment variables. Push a commit. You have a live URL.

npm install -g @railway/cli
railway login
railway init
railway up

Preview environments for pull requests are built in at the Pro tier and enabled by default. Push a branch, get a URL for that branch. No GitHub Actions to configure — it’s wired up from the dashboard in two clicks.

Sleep behavior: Railway sleeps a service after 10 minutes of no outbound traffic (not inbound — the distinction matters). The first request after sleep may return a 502; the app cold-boots. For side projects this is fine. For a production API where users notice a 2–5 second first response: disable sleep and pay ~$8/mo to keep one instance alive. Still cheap.

Fly.io: more control, more surface

Fly.io requires Docker. For most common stacks fly launch generates a Dockerfile, but anything non-standard means writing one. No built-in CI/CD — you wire that up via GitHub Actions yourself.

curl -L https://fly.io/install.sh | sh
flyctl auth login
fly launch      # generates fly.toml and Dockerfile
fly deploy

# .github/workflows/fly-deploy.yml — you write this yourself
name: Deploy to Fly.io
on:
  push:
    branches: [main]
jobs:
  deploy:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: superfly/flyctl-actions/setup-flyctl@master
      - run: flyctl deploy --remote-only
        env:
          FLY_API_TOKEN: ${{ secrets.FLY_API_TOKEN }}

Fly’s sleep behavior has two modes: suspend (memory state preserved, resumes faster than stop mode) and stop (full cold boot). New apps default to stop. If cold-start latency matters, check your fly.toml before going to production — the default is the slower mode.

# fly.toml — set autostop to suspend for faster wake
[http_service]
  auto_stop_machines = "suspend"
  auto_start_machines = true
  min_machines_running = 0

Set min_machines_running = 1 to eliminate cold starts entirely. Add $3–10/mo depending on machine size.

Database story — the biggest change in 2026

Railway Postgres HA (March 2026)

Railway shipped managed, high-availability Postgres in March 2026. This is the change that most shifted the Fly vs Railway calculus for solo devs.

Before March, Railway Postgres was unmanaged: no automatic backups, no failover. You needed an external strategy (pgdump to S3, external managed provider) for any data you cared about. That gap drove many developers to Fly.io or to Neon/Supabase as a separate database host.

Railway Postgres HA now includes:

Automatic backups with point-in-time recovery
High-availability standby (synchronous replication)
Automatic failover
Zero-config setup from the Railway dashboard

HA Postgres launched as experimental on March 13, 2026 (Railway changelog: “This is experimental and not production-ready. Don’t upgrade a production database to an HA cluster yet.”) and reached general availability on March 27, 2026. Check current pricing on railway.app/pricing. For a solo dev who previously had to self-manage backups or pay a separate managed Postgres service, this removes the main friction point that kept Railway from being a complete production stack.

Fly Managed Postgres

Fly deprecated its original unmanaged flyctl postgres create workflow in favor of Fly Managed Postgres (MPG). Entry price: $38/month. That’s before inter-region replication charges.

MPG inter-region charges — new in 2026 — apply when your Postgres cluster spans regions, billed at $0.006/GB (N. America ↔ Europe) and $0.015/GB (Asia Pacific). The actual dollar impact depends entirely on your replication volume; check the Fly pricing page for current rates. For a solo dev expecting to pay $50/mo total, MPG alone can consume that budget.

If you don’t need global Postgres read replicas, the 2026 MPG pricing makes it a poor fit for anything less than a funded startup. The practical alternatives for Fly deployments:

Self-hosted Postgres on a Fly volume (free, deprecated workflow, requires manual backup strategy)
Neon ($0/mo free tier, scales with usage) — connects cleanly to any Fly region
Supabase ($25/mo Pro) — managed HA, REST API, generous free tier

The Neon pairing still works: Railway compute (or Fly compute) + Neon database is a clean stack that survives a platform swap. But for Railway users in 2026, the new HA Postgres means you may not need Neon at all unless you specifically want Neon’s branching workflow.

Scaling ceiling — when each breaks

Railway’s ceiling

Railway’s horizontal scaling story is young. You can run multiple replicas per service, but orchestration options are limited compared to Fly’s machines model. At traffic spikes you’re vertical-scaling (bigger container) more than horizontal. For most side projects this is fine. For an app that needs to go from 1 to 100 instances on a 30-second traffic spike, Railway is not the tool.

The scaling ceiling that trips most solo devs isn’t traffic — it’s data. Railway’s 4 regions (US West, US East, EU, Singapore) mean users in Southeast Asia, South America, or West Africa see your app from whichever region is closest — which may be 200ms+ away. At a few hundred active users this is invisible; at 10,000 users across continents it starts mattering.

Fly.io’s ceiling

Fly.io’s 18 regions and anycast routing are the platform’s signature capability. The same IP resolves to whichever Fly region is closest to the user. For apps where latency is a hard product requirement, Fly has no real PaaS competitor in this tier.

Fly machines also support GPU workloads. If your app needs inference at the edge, Fly is the only platform in this comparison that handles it without routing to a separate AI API.

The ceiling Fly hits: operational overhead. At 10+ services, managing fly.toml files, machine sizing, region placement, and volume configurations is infrastructure work. For a solo dev who wants to ship features, that overhead is a tax you pay every day.

2026-specific changes

Railway HA Postgres (March 2026) — closes the biggest gap between Railway and Fly. Launched as experimental on March 13, 2026, it reached general availability on March 27, 2026. Solo devs who previously needed an external managed database can now run a complete production stack on Railway alone.

Fly.io snapshot billing (January 2026) — volume snapshots became billable. Existing volumes started accumulating snapshot charges. If you have old Fly apps with volumes, verify your snapshot state and delete what you don’t need.

Fly MPG inter-region charges — Fly Managed Postgres now bills for cross-region replication traffic. This affects HA setups spanning multiple regions and significantly increases the effective cost of MPG for globally-distributed databases.

Railway affiliate program — Railway launched an affiliate program in 2026. New signups via affiliate links receive $20 in credits. (Fly.io has no affiliate program as of June 2026.)

Verdict

Choose Railway if:

You’re shipping an MVP or side project and want to be deployed in under 20 minutes without writing a Dockerfile.
You need a hard billing cap — the financial safety net matters more than raw cost optimization.
You need managed Postgres without paying $38+/mo.
Your users are concentrated in North America, Europe, or Singapore.
You want preview environments per branch without configuring GitHub Actions.

Choose Fly.io if:

You need global edge coverage beyond Railway’s 4 regions — Southeast Asia, South America, West Africa.
Your app must be always-on with sub-second response across 18 regions.
You need GPU inference at the edge.
You’re comfortable managing Dockerfiles, fly.toml configuration, and your own CI/CD pipeline.
You’re building something where Fly’s machines model (fine-grained control over placement, concurrency, machine sizing) delivers direct product value.

The default recommendation: start on Railway Hobby ($5/mo). You’ll spend more time on your product and less on infrastructure. Upgrade to Railway Pro ($20/mo) when you need always-on compute or per-branch preview environments. Revisit Fly.io when you have paying users in regions Railway doesn’t cover.

New Railway signups get $20 in platform credits — enough to run a small service for two or three months while evaluating whether it fits your stack. Try Railway.