Pricing behavior — Cloud Compute
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Pricing
Pricing for Fly.io
How pricing changes as you scale: upgrade triggers, cost cliffs, and plan structure (not a live price list).
Sources linked — see verification below.
Freshness & verification
Pricing behavior (not a price list)
These points describe when users typically pay more and what usage patterns trigger upgrades.
Actions that trigger upgrades
- Need to standardize multi-region strategy without building bespoke infra
- Need managed deployment workflows for small teams
- Need a global placement model because latency and multi-region presence become product requirements
What gets expensive first
- Platform constraints can shape architecture decisions
- Operational maturity matters for multi-region apps
- Data placement and state model decisions are critical in multi-region deployments
- Global deployment increases the blast radius of operational mistakes
Plans and variants (structural only)
Grouped by type to show structure, not to rank or recommend SKUs.
Plans
- Compute - usage-based - Billed by service size/runtime; scaling out multiplies spend.
- Add-ons - separate billing - Databases/Redis/storage are usually billed separately; watch always-on settings.
- Network - egress costs - Traffic out of the platform can dominate costs; model real traffic early.
- Official pricing: https://fly.io/docs/about/pricing/
Next step: constraints + what breaks first
Pricing tells you the cost cliffs; constraints tell you what forces a redesign.
Open the full decision brief →Sources & verification
Pricing and behavioral information comes from public documentation and structured research. When information is incomplete or volatile, we prefer to say so rather than guess.