tavin vs Fly.io
Last updated: 2026-05-04
Fly.io and tavin.cloud both run containers, and Fly is far more mature for global infrastructure. tavin is the narrower, agent-safe take: repo-to-live-app deploys from GitHub with scoped credentials, approval handoffs, Railpack-by-default builds, and a hosted deploy surface built for AI coding agents.
At a glance
| tavin.cloud | Fly.io | |
|---|---|---|
| Origin | New (2026) | Mature (since 2020) |
| Deploy contract | GitHub webhook → tavin builds with Railpack or Dockerfile | fly deploy (CLI-driven) or GitHub Actions |
| Billing | Per-minute CPU + RAM | Per-second machine + bandwidth |
| Edge model | South America-focused preview with US/SA support + host routing | 30+ regions, Anycast IP per app |
| Networking | Public path proxy via k8s API | Wireguard-native private networking |
| Agent control | Scoped MCP tools, deploy intents, audit logs | Fly provides MCP/flyctl provisioning surfaces |
| GPU | Roadmap (Proxmox passthrough) | Available (A10/A100) |
When to pick Fly
- You need global multi-region deploys today.
- You want native private networking (Fly’s
internal:DNS, Wireguard) for cross-service traffic. - You’re already comfortable with
flyctland TOML config. - You need GPUs in production today.
When to pick tavin
- Your repo is the contract. No
fly.toml, no machine sizing, no CLI ceremony — push and ship. - You want agents to operate through a narrow deployment API with revocable credentials and approval links.
- You prefer per-minute metering with scale-to-zero over per-second machine billing.
- A US and South America support footprint covers your audience during preview.
Migration notes
If your Fly app is a repo + env vars, migration is direct: connect the GitHub repo to tavin, copy env vars over, point traffic. Dockerfile-based apps keep that explicit runtime contract; ordinary source repos can use Railpack. If you depend on Fly’s private networking or 6PN, you’ll need to re-architect intra-service comms (today: public URLs; future: tavin VPC).