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redu.cloud vs Fly.io

Fly.io runs your app as microVMs across the globe, with you at the controls. redu is a real cloud your AI agent operates end to end, on a machine it can SSH into and fix.

Quick takeglobal microVMs vs an agent-native cloud

Fly.io wins on global distribution and low-level control. redu wins when you want your agent to operate the cloud and managed databases wired for you.

Choose Fly.io if

  • You want to run your app as microVMs across many global regions for low latency worldwide.
  • You are comfortable with a lower-level platform where you configure and operate more yourself.
  • You want to stand up your own database and networking rather than have them provisioned and wired for you.
  • Global edge distribution matters more to you than a fully managed cloud experience.

Try redu.cloud if

  • You want your AI agent to provision, deploy, and operate the infrastructure through a native MCP server.
  • You want a real VM your agent can SSH into and fix in place, with the app deployed and wired for you.
  • You want managed databases, private networks, and clusters from one place, with predictable hourly pricing.
  • You want your app hosted in a German data centre by default.
Detailed comparison

How redu.cloud compares with Fly.io in 2026

The core difference is a lower-level global microVM platform versus a full cloud your agent operates and can SSH into.

Category
Fly.io
redu.cloud
Primary focus
A globally distributed microVM platform. You deploy your app as Fly Machines across many regions, with per-second billing and control over where instances run. It is powerful and lower level, so you configure and operate more yourself.
A real cloud your AI agent operates: virtual machines, managed PostgreSQL and Redis, private networks, backups, and autoscaling clusters, plus a native MCP server for agent control.
AI agent / MCP (2026)
Official flyctl MCP server (experimental), started with fly mcp server. It exposes flyctl to an agent, so it can manage apps, Fly Machines, volumes, secrets, certs, logs, and status, and can provision machines on Fly. It is scoped to Fly resources and deploys to Fly.
Native MCP server that spans the whole stack. Point your agent at a project and it provisions the VM and a managed database, deploys the app, wires DNS and TLS, and can SSH in to operate and fix it. Any MCP client works, Claude Code is the example.
Real machine and SSH
Fly Machines are real microVMs and you can open a shell with fly ssh console. Operating the box, background daemons, and day-two fixes are on you through the CLI.
Real VMs. Your agent can SSH in to run commands, read logs, and fix a broken deploy in place, then commit the fix back to your repo.
Data location
Fly.io runs across many global regions, including European ones such as Amsterdam, but the model is global and US-origin, so European hosting is a choice you configure rather than the default.
Hosted in the EU, in a German data centre, and GDPR-aligned.
Managed databases
Managed Postgres (MPG) is a first-class product with HA, backups, and connection pooling, from about $38/month, plus an older unmanaged Postgres app you run yourself. Managed Redis is offered through Upstash. You provision and wire these as separate steps from your app.
Managed PostgreSQL and Redis, provisioned alongside your app and auto-wired, with DATABASE_* env injected so the connection is ready when the app boots.
Pricing (2026)
Pay-as-you-go, billed per second. Shared machines start around $2/month and performance machines with dedicated CPU run higher, from roughly $32/month. Managed Postgres starts around $38/month. Volumes are $0.15/GB per month, egress is about $0.02/GB in North America and Europe, and a card is required with no free tier.
Per-resource, hourly pricing. Servers from about £8.50/month up to £70, most apps on a £20 to £35 server, storage at £0.07/GB. New accounts get £200 in credits.
Deploy flow
Install flyctl, run fly launch, and deploy with a Dockerfile or an auto-generated image, then manage regions and scaling through the CLI and fly.toml.
Point your agent at the repo and it deploys over the MCP, or use the REST API directly for a deploy-ready repo.
When Fly.io is better

Fly.io is the stronger choice when you want globally distributed microVMs with low-level control.

Fly.io is powerful and infra-capable. For a team that wants edge placement across many regions and fine-grained control, it is a genuinely strong platform.

You want globally distributed microVMs

Fly.io is built to run your app close to users in many regions at once. If low latency worldwide and edge placement are core to your product, Fly.io is a strong choice.

You want lower-level control

Fly Machines, volumes, and networking give you fine-grained control over how and where your app runs. For teams that want to tune placement, scaling, and configuration themselves, that control is valuable.

You are comfortable operating more yourself

Fly.io is powerful and infra-capable, and it expects you to configure the CLI, images, and database setup. If you enjoy that level of control, the platform rewards it.

When redu.cloud is better

redu.cloud is built for teams that want a real cloud their agent operates.

A lower-level platform is powerful until you want your agent to operate it, managed databases wired for you, and one place for the whole stack. redu gives you all three.

Your AI agent operates the whole stack

Both ship an MCP server. Fly.io's flyctl MCP wraps its CLI to manage Fly apps, machines, and volumes. redu's MCP goes wider: your agent provisions a VM and a managed database, deploys your app, wires DNS and TLS, and can SSH in to keep it running, all from one place.

A real machine your agent can SSH into

Both give you a real machine with SSH. On redu your agent does the operating: it SSHes in, finds why something is failing, fixes it in place, and pushes the fix back to your repo.

Managed databases wired for you

redu provisions managed PostgreSQL and Redis alongside your app and injects the connection env automatically. Fly.io has capable managed data too, with Managed Postgres and Upstash Redis, but you provision and wire them as separate steps from your app.

Your app is hosted in the EU by default

redu runs on production infrastructure in a German data centre, so your data stays in European jurisdiction without extra configuration. Fly.io is a global, US-origin platform.

Decision guide

Simple way to decide

It comes down to whether you want a lower-level global microVM platform or a full cloud your agent operates and can SSH into.

Choose Fly.io ifYou want globally distributed microVMs with low-level control and you are happy to operate and wire the databases yourself.
Choose redu.cloud ifYou want a real machine your agent can SSH into and operate, managed databases wired for you, and an agent-native MCP deploy.
Pricing

Estimate your real cost before choosing.

Per-second usage billing can be hard to predict. Use the redu.cloud pricing calculator to estimate compute, managed databases, and storage in one place.

Estimate cost
FAQ

redu.cloud vs Fly.io questions

Practical answers for teams comparing Fly.io with redu.cloud in 2026.

Is redu.cloud a good Fly.io alternative?

Yes, if you want an agent-native cloud with managed databases wired for you and an app deployed and operated for you, rather than a lower-level global microVM platform. Fly.io remains a strong choice for globally distributed apps.

Does Fly.io host in the EU?

Fly.io runs across many global regions and includes European ones such as Amsterdam, but its model is global and US-origin, so European placement is something you configure. redu runs production infrastructure in a German data centre, so your data stays in the region by default.

Can my AI agent deploy to redu the way I use Fly.io?

Both have an MCP server. Fly.io ships an official flyctl MCP (experimental) that lets an agent manage Fly apps, machines, and volumes. redu goes further: any MCP-capable agent (Claude Code is the common example) can provision a VM and a managed database, deploy your app, and SSH into the machine to operate and fix it, all on one cloud.

How does redu pricing compare with Fly.io?

Fly.io is pay-as-you-go billed per second, with shared machines from around $2/month, performance machines from roughly $32/month, volumes at $0.15/GB, and metered egress. redu uses per-resource hourly pricing, with servers from about £8.50/month and £200 in credits for new accounts. The right choice depends on your workload shape.

Does Fly.io have SSH like redu?

Yes. Fly Machines are real microVMs and you can open a shell with fly ssh console. The difference is that redu is agent-native, so your agent does the SSH work: it deploys the app, then SSHes in to operate and fix it, rather than leaving that to you.

More comparisons

Compare redu.cloud with other providers.

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