Our Fly.io Development Services
Alpina Tech deploys production workloads on Fly.io for teams that need multi-region performance without the complexity of managing global infrastructure manually. We configure Firecracker VMs, distributed databases, and edge routing so your application runs close to every user.
Multi-Region Application Deployment
Fly.io’s core strength is running your app in multiple regions simultaneously. We configure:
- Application deployment across 2–10+ regions based on your user geography
- Region-aware request routing with automatic failover
- fly.toml configuration with health checks, restart policies, and release commands
- Secrets management and environment variables across regions
- Custom domain setup with Fly.io’s built-in TLS termination
Fly Postgres & Distributed Data
Running databases at the edge requires careful architecture. We set up:
- Fly Postgres clusters with primary and read replicas in target regions
- Write forwarding from replica regions to the primary node
- Automated backups and point-in-time recovery configuration
- LiteFS for SQLite replication across Fly Machines — ideal for read-heavy, low-write workloads
- Connection pooling and region-aware routing at the application layer
Fly Machines & Autoscaling
Fly Machines give you fine-grained control over compute. We configure:
- Machine sizing — CPU, memory, and GPU allocation per service
- Autoscaling policies — scale to zero for dev environments, scale out for production traffic
- Persistent volumes attached to machines for stateful workloads
- Process groups for separating web, worker, and cron responsibilities within one app
- Standby machines for instant failover in critical regions
Migration to Fly.io
We handle migrations from Heroku, Railway, Render, AWS, and container-based setups:
- Dockerfile audit and optimization for Fly.io’s Firecracker runtime
- Database migration with replication-based cutover for zero downtime
- DNS transition and region selection based on traffic analytics
- Post-migration latency benchmarking across target regions
We have moved production apps serving users across North America, Europe, and APAC to Fly.io’s global network.
CI/CD & Release Automation
Automated deployments keep multi-region apps consistent:
- GitHub Actions or GitLab CI pipelines triggering
fly deploy
- Blue-green deployments with canary releases across regions
- Release commands for database migrations before new machines receive traffic
- Deploy status notifications and rollback triggers on health check failures
Our DevOps services extend these pipelines with testing, security scanning, and monitoring integration.
How We Approach Fly.io Projects
Region Strategy & Architecture
We analyze your user base geography and latency requirements to select deployment regions. Not every app needs 10 regions — we find the right balance between performance and cost.
Infrastructure Configuration
All Fly.io resources are defined in fly.toml and deployment scripts. We version everything in Git so your infrastructure is reproducible and auditable.
Staged Rollout
We deploy to a single region first, validate performance and data flows, then expand to additional regions. Each region is tested independently before joining the production mesh.
Optimization & Handoff
We tune machine sizes, autoscaling rules, and database replica placement based on real traffic data. Your team receives documentation and CLI workflows for day-to-day operations.
Technology Stack on Fly.io
Application Runtimes
- Elixir / Phoenix — distributed by design, runs exceptionally well on Fly.io’s multi-region model
- Node.js (Express, Fastify, Remix) — full-stack JS apps with server-side rendering at the edge
- Go, Rust — low-overhead runtimes that maximize Firecracker VM performance
- Rails, Django, Laravel — traditional frameworks deployed as Docker containers
Data Layer
- Fly Postgres — managed PostgreSQL with regional read replicas
- LiteFS — distributed SQLite for edge-native applications
- Redis (Upstash or self-hosted) — caching and pub/sub across regions
- Tigris Object Storage — S3-compatible storage on Fly.io’s network
Observability
- Fly Metrics — built-in Prometheus metrics for machines and apps
- Grafana Cloud — dashboarding and alerting on multi-region performance
- Sentry — error tracking with region context
- OpenTelemetry — distributed tracing across services and regions
Business Benefits
- Global low latency — run your application in regions closest to your users. Fly.io’s Anycast routing directs each request to the nearest instance, delivering sub-100ms response times worldwide.
- Heroku simplicity, multi-region capability — Fly.io offers a familiar deploy experience (
git push → production) but with the ability to run in 30+ regions that Heroku never provided.
- Scale-to-zero economics — Fly Machines stop when idle and start on incoming requests. Development and staging environments cost nothing when not in use.
- Firecracker VM isolation — each app runs in its own microVM, providing stronger isolation than containers with near-instant boot times (~300ms).
- Edge-native data options — LiteFS and regional Postgres replicas keep data close to users, eliminating the cross-continent database round trips that add latency.
- Predictable pricing — pay per VM-second with no egress fees between Fly regions. Multi-region deployments don’t multiply your bandwidth costs.
