Fly.io Alternatives in Europe: GDPR-Compliant Edge Deployment Platforms (2026)

Fly.io turned a simple idea — run a Dockerfile, get a globally distributed app — into one of the most beloved developer platforms of the last five years. Push a container, and Fly Machines boots a micro-VM near your users in minutes. For many small teams it replaced Heroku without the Heroku price tag, and without the Kubernetes learning curve.

But in 2026, a lot of European teams are quietly asking the same question: is Fly still the right answer?

Fly.io is a great product built by a small, opinionated US company. And that sentence hides most of the reasons engineers on this side of the Atlantic are now evaluating alternatives: the US ownership triggers the CLOUD Act and Schrems II concerns, the pricing pages have gotten harder to reason about, Fly Postgres was quietly demoted from "managed" to "you manage it", and the 2023-2024 reliability incidents reminded everyone that PaaS is not a synonym for SLA.

This guide takes Fly apart piece by piece — Machines, Postgres, Volumes, regions, fly-replay — and shows you exactly what to replace each with if you want a Europe-first stack in 2026. We'll compare DanubeData, Scaleway, Koyeb, Railway, Render and Porter, look at the honest trade-offs, and walk through a concrete migration path that keeps your existing Dockerfile.

Spoiler: for most EU teams the cheapest answer — DanubeData Serverless Containers (from €5/month) plus Managed Postgres (from €19.99/month) — lands at around €25/month with better sovereignty than Fly's ~$30/month hobby setup, without forcing you to learn Kubernetes.

What Fly.io Actually Sells You

Before picking an alternative it helps to name the pieces. Fly is not one product; it's a bundle of about five things pretending to be one.

• Fly Machines — Firecracker micro-VMs that boot in ~300ms from a Docker image. This is the core. fly deploy takes your Dockerfile, builds it (remotely, on their builder), pushes it into their registry, and schedules machines in the regions you asked for.
• Fly Postgres — Historically a "managed" Postgres. Since late 2024, Fly has been clear it's unmanaged Postgres running on Fly Machines — you're responsible for backups, upgrades, failover tuning. A managed alternative (MPG, run by Fly's partner) is being rolled out, but it's not the old promise.
• Fly Volumes — Local NVMe attached to a specific host. Fast, but a volume is stuck in one region and one physical box. If the host goes away, you need a snapshot.
• Regions and fly-replay — Deploy the same app in many regions; use the fly-replay header to bounce a request to a specific region (e.g. the one with the primary writer). This is the secret sauce of the "globally distributed SQLite" story.
• Scale-to-zero and auto-start — Machines can stop when idle and start on the next request. Cold start is typically a couple of seconds for small containers, longer for large images.

Any honest Fly.io alternative needs to address these five, not just "runs Docker".

Why EU Teams Are Reconsidering Fly.io in 2026

This isn't a hit piece. Fly is still a legitimately good product. But if your users, your data, or your legal department live in the EU, here are the five pressures we hear about most often.

1. US Ownership and the CLOUD Act

Fly.io Inc. is a Delaware C-Corp headquartered in Chicago. That means it's in scope of the US CLOUD Act (2018), which allows US authorities to compel disclosure of data in the provider's custody regardless of where the data is physically stored. Running your Machines in fra (Frankfurt) or ams (Amsterdam) does not change this — the data controller is still a US company.

For consumer SaaS this is usually fine. For a German Steuerberater, a French public-sector tender, or any workload under Schrems II scrutiny, it's a deal-breaker. EU regulators have been explicit since 2020 that "data in the EU" on a US-owned cloud is not equivalent to "data under EU jurisdiction".

2. The 2023-2024 Reliability Wobble

Fly had a rough stretch: multiple multi-hour global control-plane incidents in 2023, a painful region migration in 2024, and a well-known "our status page is green but nothing works" meme. They were transparent and improved, but the episode surfaced a real constraint: Fly has roughly a Postgres-team-sized engineering org running global infrastructure. When things break, recovery takes time. If your customers are paying you for 99.95%+, that's a risk you're buying into.

3. Pricing Opacity

Fly's pricing page has grown from "here are four VM sizes" to a maze of CPU classes, memory options, volumes, bandwidth tiers, IP address fees, Anycast IP fees, Postgres fees, and a per-org usage model. A typical hobby app ends up in the $20-$35/month range, but it's hard to predict in advance. Compare that to a flat €4.49/month VPS with 20TB of included traffic — the European providers tend to publish simpler rate cards.

4. Fly Postgres Is Not What It Was

Until late 2024, Fly sold Fly Postgres as a managed database. The actual product was always "unmanaged Postgres running on Fly Machines", and in December 2024 they updated the docs to say exactly that. There's a new Managed Postgres option in preview via a partner, but for years of running apps this means: you were running HA Postgres yourself on top of a PaaS. Most alternatives in this list ship an actual managed database from day one.

5. "Edge" Is Doing a Lot of Work in the Marketing

Fly runs physical infrastructure in ~35 regions. That's genuinely useful, but it's not Cloudflare Workers ubiquity. For most EU-traffic apps, a single Frankfurt region plus a CDN in front of it gets you 95% of the latency benefit with 10% of the operational complexity. A lot of teams discover this after a year of chasing multi-region writes that didn't actually move their p95 much.

The EU Alternatives, at a Glance

Here's how the main candidates stack up on the dimensions that matter most for an EU team replacing Fly.

The honest summary: DanubeData, Scaleway, and Koyeb are the three EU-sovereign options. Railway and Render are genuinely good PaaS products but share Fly's jurisdictional problem. Porter is a "bring your own cluster" escape hatch if you're already running Kubernetes.

Replacing Fly.io Piece by Piece

The clearest way to plan a migration is to look at each Fly building block and pick its replacement independently. You don't have to swap everything at once.

Fly Machines → DanubeData Serverless Containers (or Koyeb)

Fly Machines give you: "I push a Docker image, a micro-VM runs it, it scales up and down, it has a stable URL, TLS is done for me." That's almost exactly what DanubeData Serverless Containers are — Knative Services on our Kubernetes platform, with scale-to-zero, automatic TLS via cert-manager, per-request concurrency limits, and a flat €5/month starting price for a small container.

The key mechanical differences:

• Scheduling model. Fly boots a micro-VM per instance. DanubeData and Scaleway run your container as a Kubernetes pod (via Knative). For 99% of apps the distinction is invisible; for anything that needed to modprobe or run a kernel module, you'd want a VPS, not serverless.
• Regions. DanubeData is Falkenstein-DE only today — one hyper-reliable EU region. Koyeb has FRA, PAR plus non-EU regions. Scaleway has three EU regions. Fly's ~35 is unmatched, but if all your users are in Europe, you don't need 35.
• Deploy source. DanubeData Serverless accepts three sources: a pre-built Docker image, a Git repository (Buildpacks or Dockerfile), or a ZIP upload. Fly is Dockerfile-first; the DanubeData Git flow mirrors Heroku's, which most teams prefer.
• Cold start. Fly cold start on a small image: typically 1-3s. Knative cold start on DanubeData with a warm image cache: roughly 1-2s. Your mileage depends heavily on image size and startup time of your runtime (Go is near-instant; a cold JVM is always going to hurt).

For teams who want real micro-VM isolation and a US-free jurisdiction, Koyeb is the closest structural match to Fly. Their platform also runs on Firecracker in the EU, and they're explicitly positioned as a Fly alternative. Pricing is per-second usage — can be cheaper or more expensive depending on traffic patterns. For predictable billing, DanubeData's flat monthly price is friendlier.

Fly Postgres → DanubeData Managed Postgres

This is where the EU alternatives materially win. DanubeData Managed Postgres starts at €19.99/month for a small primary, supports Postgres 15, 16, and 17, ships with optional read replicas, SSL/TLS, automated snapshots via TopoLVM, and a reader endpoint for load-balanced replica reads. You get a hostname (pg-xxx.svc.cluster.local internally, a public TLS endpoint externally), a DATABASE_URL, and nothing to manage.

Compared to Fly's current situation:

• DanubeData, Scaleway, and Koyeb all ship actually managed Postgres with backups, upgrades, and failover handled by the platform.
• You don't have to run stolon, configure WAL archiving, or pray during a minor-version upgrade.
• Restore from snapshot is a UI click; point-in-time restore is a roadmap item across most EU providers.

For teams running MySQL or MariaDB (a lot of PHP/Laravel shops), DanubeData's managed database also covers both — which Fly doesn't, since Fly's entire database play has always been Postgres-shaped.

Fly Volumes → DanubeData VPS Persistent Storage, or Object Storage

Fly Volumes are LVM-backed local NVMe on a specific host. Fast, but single-host and single-region. If you're using them for:

• Uploaded files, user assets, backups — migrate to DanubeData Object Storage (S3-compatible, €3.99/month base including 1TB storage + 1TB traffic). This removes the host-pinning problem entirely and plays nicely with a CDN.
• SQLite databases, LiteFS-style replication — move to a DanubeData VPS (from €4.49/month, NVMe local storage) or adopt managed Postgres and stop replicating SQLite across regions. The LiteFS pattern is clever but it's Fly-specific engineering; you probably don't want to port it.
• ClickHouse / Elasticsearch data directories — DanubeData VPS with local NVMe via OpenEBS LVM CSI, or a dedicated-CPU plan if you need predictable performance.

Fly Regions and fly-replay → CDN + Single-Region Origin

This is the most counter-intuitive part of the migration and also the most liberating. Most apps deploying to 5+ Fly regions do it for latency. A single well-placed EU origin behind a serious CDN gets you 80-90% of the latency improvement with none of the multi-region data consistency pain.

The pattern that works well for EU teams:

• Origin: DanubeData Serverless Container or VPS in Falkenstein.
• CDN: Bunny.net (European, cheap, excellent). Push cache rules for static assets; set stale-while-revalidate for HTML where appropriate.
• Database: DanubeData Managed Postgres with a reader endpoint if you need read scaling.
• Object storage: DanubeData Object Storage behind the same CDN for user uploads and assets.

If you genuinely need a US or APAC presence on top of your EU origin, Bunny's global edge absorbs that — your origin still lives on EU-sovereign infrastructure, while read latency in Tokyo or Sao Paulo becomes a cache-hit problem instead of a replication problem.

You lose the ability to route writes to the nearest region (fly-replay's killer feature). For most SaaS apps, you never needed it.

Pricing: Fly vs DanubeData Side by Side

Let's compare a realistic "small but production" stack: one web service, a Postgres database, 100GB of traffic, TLS certs, and a staging copy.

This is not "much cheaper" — it's "comparable price, managed database included, EU jurisdiction, 20TB of traffic, no surprise bandwidth bills". For most small production apps, that's the better deal.

Migration Playbook: Fly.io to DanubeData in a Day

Your Dockerfile already works. That's the nicest thing about leaving Fly — the unit of deployment is a container, and containers are portable.

Step 1: Audit Your fly.toml

Open your current fly.toml and note the sections that matter for the migration:

app = "my-app"
primary_region = "fra"

[build]
  dockerfile = "Dockerfile"

[env]
  PORT = "8080"
  NODE_ENV = "production"

[http_service]
  internal_port = 8080
  force_https = true
  auto_stop_machines = true
  auto_start_machines = true
  min_machines_running = 0

[[services.ports]]
  port = 443
  handlers = ["tls", "http"]

[[vm]]
  size = "shared-cpu-1x"
  memory = "512mb"

Everything in this file has a direct equivalent on DanubeData: the Dockerfile, the port, the env vars, the "auto_stop = scale to zero", the VM size. We'll translate each.

Step 2: Export Postgres from Fly

# On your laptop, with flyctl authenticated
fly postgres connect -a my-app-db

# Inside psql:
q

# Dump the whole database
fly pg connect -a my-app-db -- pg_dump -Fc -f /tmp/mydb.dump
fly sftp shell -a my-app-db
# get /tmp/mydb.dump ./mydb.dump

# Alternative: proxy and dump locally (safer, repeatable)
fly proxy 5433:5432 -a my-app-db &
pg_dump -Fc -h localhost -p 5433 -U postgres mydb -f mydb.dump

Step 3: Create the DanubeData Managed Postgres

1. In the DanubeData dashboard, go to Databases → Create Instance.
2. Choose Postgres, matching the major version of your Fly DB (usually 16 or 17).
3. Pick a plan (€19.99/mo is plenty for most small apps).
4. Wait ~2 minutes for the instance to come up. You'll get a DATABASE_URL in the UI.
5. Import the dump:

# From your laptop, against the public TLS endpoint
pg_restore 
  --host pg-abc.danubedata.ro 
  --port 5432 
  --username myuser 
  --dbname mydb 
  --no-owner --no-privileges 
  mydb.dump

Step 4: Create the Serverless Container

In the dashboard, Serverless Containers → New Service. You have three options:

1. Docker image (fastest if you already push to a registry). Paste your image URL, e.g. ghcr.io/you/my-app:v42.
2. Git repository (most Fly-like). Connect GitHub, point at the repo, DanubeData builds on push using Buildpacks or your Dockerfile.
3. ZIP upload (for air-gapped teams).

Configure:

• Port: 8080 (or whatever your container listens on — matches internal_port from fly.toml).
• Environment variables: copy them from fly secrets list. Critical one is DATABASE_URL — replace with the DanubeData Postgres URL you got in step 3.
• Scaling: min=0, max=3 for a hobby app. Min=1 if you want to pay a bit more to avoid cold starts.
• Custom domain: add app.yourdomain.com, point a CNAME at the generated target; TLS is automatic.

Step 5: Cut Over DNS

Lower your DNS TTL to 60s a day before the cutover. On cutover day:

1. Run a final incremental pg_dump/pg_restore during a short maintenance window.
2. Update the CNAME/A record to point at DanubeData.
3. Watch logs on both sides for 15 minutes. Keep Fly running for 24-48h as a fallback.
4. Scale Fly Machines to zero after you're confident.

Step 6: CI/CD

Fly's flow is flyctl deploy. The DanubeData flow depends on which deploy source you chose:

• Git: push to main, auto-build and deploy fires via webhook.
• Image: your existing GitHub Actions (build and push to GHCR/Docker Hub) keep working — you just add a final step that calls the DanubeData API to roll the service to the new tag.

A minimal GitHub Actions example using the image-based flow:

name: Deploy
on:
  push:
    branches: [main]
jobs:
  build:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: docker/login-action@v3
        with:
          registry: ghcr.io
          username: ${{ github.actor }}
          password: ${{ secrets.GITHUB_TOKEN }}
      - uses: docker/build-push-action@v5
        with:
          push: true
          tags: ghcr.io/${{ github.repository }}:${{ github.sha }}
      - name: Update DanubeData service
        run: |
          curl -X POST https://danubedata.ro/api/v1/serverless/my-app/deploy 
            -H "Authorization: Bearer ${{ secrets.DD_TOKEN }}" 
            -H "Content-Type: application/json" 
            -d '{"image": "ghcr.io/${{ github.repository }}:${{ github.sha }}"}'

Honest Trade-offs Worth Knowing

A migration guide that only lists wins is lying to you. Here's what you actually give up when you leave Fly for an EU serverless/managed stack.

You Lose: Genuine Multi-region Writes

Fly's fly-replay header plus LiteFS made multi-region writes feel almost easy. DanubeData, Scaleway, and Koyeb all primarily offer single-region primary writes with optional read replicas. If your business case is "users in Tokyo need sub-100ms write latency to the same DB as users in Berlin", none of the EU providers solve this cleanly — and Fly only solved it if you bought into its very specific SQLite-replicated model. For most SaaS, a single EU primary + Bunny CDN is the right answer.

You Lose: ~35 Global Regions

DanubeData is Falkenstein-DE today. Scaleway is PAR/AMS/WAW. Koyeb has FRA/PAR plus non-EU regions. If you're running something latency-critical to end users in five continents and can't hide that behind a CDN, Fly or Koyeb are better structural fits. Most apps aren't in this category.

You Lose: The Flyctl UX

flyctl is a genuinely nice CLI. DanubeData has a dashboard-first UX plus an API; the CLI story is less polished. For scripted workflows you'll be calling the API directly. If CLI-centric workflows are your religion, Koyeb has the closest-feeling CLI of the EU alternatives.

You Gain: Jurisdiction Clarity

This is the big one. Your DPA with DanubeData is a GmbH in Germany signing under GDPR, not a sub-processor agreement that ultimately bottoms out in a Delaware C-corp. For B2B sales into EU-regulated industries, this isn't a nice-to-have; it's frequently the difference between signing and not signing.

You Gain: A Real Managed Database

DanubeData Managed Postgres (and MySQL, and MariaDB, and Redis/Valkey/Dragonfly) is actually managed. You didn't have to set up WAL archiving; you're not going to lose a weekend to a minor-version upgrade.

You Gain: Flat, Predictable Pricing

20TB traffic included per VPS, flat monthly prices on Serverless Containers and managed DBs, €3.99 for 1TB of object storage. For a hobby or SMB app you can write next year's infra budget on the back of a napkin.

When NOT to Migrate Off Fly

We don't want to waste your time. Stay on Fly if:

• Your users are genuinely globally distributed and your latency testing shows a single EU origin + CDN isn't enough.
• You're heavily invested in LiteFS or a similar SQLite-replication pattern that doesn't port.
• Your compliance story is "we ship to US consumers", not "we sell to EU SMBs or regulated sectors".
• You're a small team that got to market fast on Fly and re-platforming is more risk than it's worth right now.

Fly is a good product. The question is whether it's your product. If your users, your data, and your contracts are European — the answer is probably "not anymore".

The Recommended EU Stack for 2026

For the vast majority of EU teams replacing Fly, this is the stack we'd pick:

• Application hosting: DanubeData Serverless Containers (from €5/mo). Scale-to-zero, Knative-based, Docker/Git/ZIP deploy, automatic TLS, Falkenstein-DE.
• Database: DanubeData Managed Postgres (from €19.99/mo). Real managed, automated snapshots, read replicas available.
• Cache: DanubeData Managed Redis / Valkey / Dragonfly (from €4.99/mo) if you need one.
• Object storage: DanubeData Object Storage (€3.99/mo includes 1TB storage + 1TB traffic) for uploads, backups, static assets.
• CDN: Bunny.net in front of it all. EU-owned, affordable, genuinely global edge.
• DNS: Whoever you already use — Cloudflare DNS (no data plane) is fine; for strict sovereignty use deSEC.io or Gandi.

Typical cost for a small production app: €25-35/month all-in, EU-sovereign, managed, with 20TB of traffic included per VPS and a €50 starting credit. No surprise bills, no Schrems II review at the 11th hour, no "I have to run my own Postgres failover again" at 2am.

FAQ

Is any EU platform really "edge" like Fly?

Honestly, no, and mostly you don't need it. Fly's ~35 regions are real, and so is Koyeb's multi-region story. But if you benchmark a Frankfurt origin behind Bunny.net vs a multi-region Fly deployment, for 95% of EU traffic and a good chunk of US traffic the difference is small. The companies that actually need true edge compute (not just a CDN) are a narrow slice: real-time multiplayer, certain fintech workloads, some ad tech. Everyone else is buying a complexity surcharge they don't cash in.

Will my existing Dockerfile just work?

Yes. The EU serverless platforms (DanubeData, Scaleway, Koyeb) all run OCI containers. If your Dockerfile builds and runs on fly deploy, it builds and runs on DanubeData Serverless Containers unchanged. A few things to double-check: does your app respect the PORT env var, does it bind to 0.0.0.0 (not localhost), and does it handle SIGTERM gracefully for graceful shutdown during scale-down? Those are the only universal gotchas.

What about stateful workloads and volumes?

Serverless containers are designed for stateless workloads — file system writes don't persist across instances. If you need a persistent volume (ClickHouse, Elasticsearch, a SQLite pet, a long-lived cache), run a DanubeData VPS instead and mount local NVMe. For uploaded files, always use object storage — it's cheaper, replicated, and your deploys become stateless by default. If you're on Fly Volumes today, the migration is usually "object storage for uploads, VPS + NVMe for anything else that needs local disk".

Does it handle WebSockets, SSE, and long-lived connections?

Yes. Knative Services on DanubeData support WebSockets and Server-Sent Events with configurable per-request timeouts (default generous, extendable). The only caveat is scale-to-zero + long-lived connections: when the last connection closes, the pod scales down after a configurable idle period. If you need always-on for WebSocket-heavy apps, set min_instances = 1 — costs the same as a low-tier VPS but keeps the connection-handling ergonomics of serverless.

How bad is scale-to-zero cold start?

For a small Go or Node container on DanubeData, cold start is typically in the 1-2s range — comparable to Fly's 1-3s for shared-cpu Machines, and faster than a cold AWS Lambda with VPC networking. A Python or Ruby app adds another second or two. A cold JVM will always hurt — for JVM apps, we usually recommend either min_instances = 1 or a small VPS instead. If sub-200ms cold start is a hard requirement (e.g. for an API responding to humans), keep one instance warm; the economics still work out vs Fly.

Is this actually Schrems II compliant?

DanubeData is a German GmbH, operating in Falkenstein-DE, data-controller and data-processor both in the EU, with no US parent company. That is the structural pattern EU regulators and DPAs ask for post-Schrems II. We can sign a GDPR DPA; we're not a sub-processor of a US-controlled entity. That said: compliance is also about your app's data flows. If you still SSO through a US identity provider or send emails via a US transactional provider, those sub-processors are still in the chain — fixing the hosting layer is necessary but not sufficient.

Can I run my own cluster instead and use a platform on top?

Yes — that's what Porter is for. Porter installs a control plane into your Kubernetes cluster (on any cloud) and gives you a Heroku-style deploy UX. If you already have a k3s or managed Kubernetes cluster in the EU and want a PaaS layer, Porter is a legitimate choice. Alternatively, DanubeData VPS instances make it trivial to run your own k3s or Docker Swarm — a €24.99/mo DD Medium (8 vCPU, 16GB RAM) is a lot of server to throw at a small k3s cluster, and you'll have 20TB of included traffic to play with.

What about CI/CD integration?

Every platform in this list integrates with GitHub and GitLab. DanubeData supports Git-based auto-deploy (push to main, rebuild, roll out), a REST API for image-based deploys from your existing CI, and webhooks from your Git host. The ugliest migration step is usually not the platform — it's updating all the GitHub Actions workflows that had flyctl deploy hardcoded. Budget half a day to search-and-replace across your repos.

Getting Started

If you're coming from Fly and want to try the EU stack with minimal risk:

1. Sign up for DanubeData and claim the €50 starter credit — that covers roughly two months of a full production stack.
2. Deploy your first Serverless Container (from €5/mo). If you already push to a container registry, the first deploy takes about three minutes.
3. Spin up a Managed Postgres (from €19.99/mo) and pg_restore your Fly database dump into it.
4. Point a CNAME at the generated domain and start running staging traffic against the new stack.
5. When you're happy, cut production DNS and scale Fly to zero.

We're happy to help. If you're moving a production workload and want an extra pair of eyes on the migration plan, get in touch — for non-trivial migrations we'll usually do a free architecture review.

Falkenstein, Germany. Managed. Predictable price. Your data stays under EU jurisdiction. No CLOUD Act, no "managed in the brochure", no surprise bandwidth bill. That's the EU stack for 2026.

👉 Start your EU migration with €50 credit

Want to compare specific workloads? Send us your fly.toml and we'll sketch the migration for free.