MapleDeploy vs Fly.io
Canadian jurisdiction with flat pricing. Managed hosting instead of infrastructure primitives.
Fly.io is a capable platform that runs containers across a global network of regions, including Toronto. It appeals to developers who want fine-grained control over where and how their applications run. As a Canadian alternative to Fly.io, MapleDeploy takes a different approach: a dedicated VM in Toronto with managed Coolify, flat pricing, and Canadian jurisdiction at every layer. This page covers the differences in jurisdiction, pricing, and operational complexity.
Side by side
| Feature | Fly.io | MapleDeploy |
|---|---|---|
| Architecture | Firecracker microVMs on shared hosts | Dedicated VM per customer |
| Canadian region | Yes (Toronto yyz), but US jurisdiction | Yes, Canadian jurisdiction (SLA, compliance docs) |
| Databases | Fly Postgres (unmanaged), Managed Postgres (from $38 USD/mo), or bring your own | One-click, included |
| IPv4 | $2 USD/mo per address | Included |
| Backups | Volume snapshots ($0.08/GB/mo) | Weekly full-server snapshots included, 30-day retention after cancellation |
| Platform source | Proprietary | Open source (Coolify) |
| Pricing | Usage-based (VMs + volumes + bandwidth + IPs, each billed separately) | From $45 CAD/mo (4 GB RAM dedicated VM, everything included) |
| Operational complexity | High (infrastructure primitives, networking, scaling config) | Low (managed platform, git push deploys) |
Geography is not jurisdiction
Fly.io offers a Toronto region (yyz). Your application containers can run in Canada. Your data can sit on Canadian soil. That solves the latency question and the geography question.
It does not solve the jurisdiction question. Fly.io is a US-incorporated company. The CLOUD Act applies to Fly.io regardless of which region you deploy to. A US court can compel Fly.io to produce data stored in Toronto the same way it can compel data stored in Virginia. The server is in Canada. The legal framework governing access to that server is American.
This is the same distinction that applies to DigitalOcean's Toronto region. A Canadian data center does not create Canadian jurisdiction. Jurisdiction follows the company, not the server.
MapleDeploy runs on LunaNode, a Canadian-owned infrastructure provider in Toronto. No US parent company, no US incorporation, no CLOUD Act exposure. Canadian jurisdiction at every layer, not just Canadian geography.
Usage-based pricing is hard to predict
Fly.io bills separately for compute, storage, bandwidth, and IP addresses. Each dimension has its own rate, and the rates vary by region.
A single application on Fly.io might look like this: a performance-1x VM with 2 GB RAM at roughly $32 USD/month, a 10 GB volume at $1.50/month, a dedicated IPv4 at $2/month, and bandwidth at $0.02/GB. That is around $36 USD/month before traffic. Add a second machine for redundancy, a managed Postgres database (from $38 USD/month), and moderate egress, and the bill climbs past $100 USD/month.
The challenge is predictability. Traffic spikes increase bandwidth costs. Adding a new service means a new VM, a new volume, and a new IP address. Scaling up means larger VMs at higher hourly rates. Each change shows up on the bill.
MapleDeploy charges a flat $45 CAD/month for a dedicated 4 GB RAM, 2 vCPU VM. Deploy as many applications, databases, and services as your resources allow. Bandwidth is included. IPv4 is included. SSL is included. The bill is the same every month.
Managed platform vs infrastructure primitives
Fly.io exposes infrastructure primitives: machines, volumes, networking, scaling rules, health checks, secrets, and inter-service communication. This gives experienced operators fine-grained control. It also means more configuration, more decisions, and more surface area for things to go wrong.
Setting up a production application on Fly.io means writing a fly.toml configuration, managing machine sizes and counts, configuring volumes for persistent storage, setting up Postgres (Fly offers both an unmanaged option and a paid managed option starting at $38 USD/month), wiring up private networking between services, and managing deployments through the Fly CLI.
MapleDeploy runs Coolify, which provides a web dashboard for managing all of this. Connect a git repo, push to deploy, provision databases with one click, configure environment variables through the UI. The operational overhead is significantly lower. You trade fine-grained infrastructure control for a managed experience that handles the server layer for you.
For developers who enjoy managing infrastructure, Fly.io is a powerful tool. For teams that want to deploy and move on, a managed platform removes the distraction.
Migrating from Fly.io
Fly.io applications are typically Docker-based, which makes migration straightforward. Your Dockerfile works as-is on Coolify. If you are using Fly's Postgres, export with pg_dump and import into a PostgreSQL instance on your MapleDeploy VM.
Configuration that lives in fly.toml (environment variables, health checks, scaling rules) maps to Coolify's application settings in the web dashboard. Fly's private networking between services is replaced by standard Docker networking on a single VM, which is simpler for most applications.
The main adjustment is moving from a multi-region, multi-machine model to a single dedicated VM. For applications that genuinely need global distribution, this is a tradeoff. For applications serving Canadian and North American users from a single origin, a dedicated VM in Toronto is simpler and more predictable.
Canadian jurisdiction, not just Canadian geography
One dedicated VM in Toronto. Flat pricing, managed platform, Canadian jurisdiction at every layer.