Deploy Your AI-Built App to Fly.io
Fly.io runs apps as micro-VMs close to users worldwide. AI-generated apps often struggle with Fly's Dockerfile-based deployment model, multi-region complexity, and volume management.
Common Fly.io deployment issues
Real problems from AI-generated apps deployed to Fly.io.
Dockerfile missing or misconfigured
Fly.io requires a Dockerfile for deployment. AI tools that scaffold without one force flyctl to auto-generate a suboptimal Dockerfile that misses build steps.
Volume only available in a single region
Fly volumes are pinned to one region. Multi-region deployments try to access a volume that doesn't exist in other regions, causing crashes.
Machine restarts losing in-memory state
AI-generated apps store session data or caches in memory. Fly machines can restart or migrate, wiping all in-memory state without warning.
Internal DNS resolution failing between services
Services within a Fly organization communicate via <app>.internal hostnames, but AI-generated code hardcodes localhost or public URLs.
fly.toml health check misconfigured
Default health check settings don't match the app's startup time, causing Fly to kill the machine before it finishes initializing.
Start with a self-serve audit
Get a professional review of your Fly.io deployment at a fixed price.
Security Scan
Black-box review of your public-facing app. No code access needed.
- OWASP Top 10 checks
- SSL/TLS analysis
- Security headers
- Expert review within 24h
Code Audit
In-depth review of your source code for security, quality, and best practices.
- Security vulnerabilities
- Code quality review
- Dependency audit
- AI pattern analysis
Complete Bundle
Both scans in one package with cross-referenced findings.
- Everything in both products
- Cross-referenced findings
- Unified action plan
100% credited toward any paid service. Start with an audit, then let us fix what we find.
How it works
Tell us about your app
Share your project details and what you need help with.
Get a clear plan
We respond in 24 hours with scope, timeline, and cost.
Launch with confidence
We fix what needs fixing and stick around to help.
Frequently asked questions
Why does my Fly.io deployment fail with a Dockerfile error?
Fly.io deploys from a Dockerfile by default. If your AI tool didn't generate one, flyctl attempts auto-detection which often fails for complex setups. Create a multi-stage Dockerfile that installs dependencies, builds, and runs your app with a minimal final image.
How do I handle data persistence on Fly.io?
Attach a Fly volume to your machine for persistent storage. Note that volumes are region-specific — if you run in multiple regions, use a distributed database like LiteFS or connect to an external database service instead of local files.
Can SpringCode deploy my AI project to Fly.io?
Yes. We write production Dockerfiles, configure fly.toml correctly, set up volumes and health checks, and handle multi-region concerns so your app runs globally without issues.
Related resources
Need help deploying to Fly.io?
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.