Vetted Recommended

Fly Io

Teams that need global container placement, Machines API control, and built-in Postgres.

“Teams that need global container placement, Machines API control, and built-in Postgres.”

Teams that need global container placement, Machines API control, and built-in Postgres.

Why teams pick it

  • Dockerfile-based Next.js deployment works well; requires more configuration than Vercel but gains container control.
  • Works via standard Postgres connection strings; region alignment matters for latency.
  • External Supabase connections work; Fly's built-in Postgres may be preferred for latency-sensitive workloads.
  • flyctl integrates cleanly into CI pipelines; official GitHub Actions are well-maintained.

Where it gives ground

  • Fly Postgres is not a fully managed service; failover and backups require operator attention.
  • No built-in preview environment workflow; each preview requires manual machine provisioning.

What the commercial model looks like

Hobby

$0 /mo

  • machines: 3
  • memory_gb: 0.256
  • storage_gb: 1
  • bandwidth_gb: 100
  • shared_cpu_vms: 3

Scale

$29 /mo

  • support_sla: email priority
  • pricing_model: pay-as-you-go plus support
  • dedicated_cpu_vms: unlimited
  • volume_storage_gb: usage-based

Enterprise

$999 /mo

  • support: Priority
  • seats: Unlimited

Where this tool shows up

The practical snapshot

Docs quality
8.2
Quickstart
5 min
Starts at
$0