Fly.io
Usage BasedRun your app close to your users, everywhere in the world
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About
Fly.io is a modern application hosting platform that runs Docker containers as Firecracker microVMs — lightweight, hardware-isolated virtual machines that start in milliseconds. Unlike traditional PaaS platforms, Fly.io is designed around global distribution: every app is deployed close to the users who need it, with anycast routing directing traffic to the nearest healthy instance across 35+ regions.
Fly Machines are the core primitive. Each Machine is a Firecracker VM that can auto-stop when idle and boot on the next inbound request, delivering serverless-like cost efficiency while preserving full server capabilities and persistent state. Machines are billed per second, and the first trial gives new accounts 2 VM-hours to explore.
Fly.io handles much of the operational complexity that VPS users manage themselves: TLS certificates are provisioned automatically, the built-in load balancer handles HTTP/TCP traffic, and the private WireGuard network (6PN) connects all your Machines without exposing them publicly.
The managed ecosystem includes Fly Postgres (a Fly-operated Postgres cluster, not a fully managed service — the user is responsible for backups and upgrades), Fly Redis (powered by Upstash), and Tigris (S3-compatible object storage at the edge). GPU Machines with NVIDIA A100s and L40S GPUs are available for AI/ML inference workloads.
Deployment is driven by flyctl, the CLI tool, and a fly.toml configuration file. Apps are deployed from a Dockerfile or a pre-built image. Fly.io also supports multi-region Postgres replication and volume replication for stateful workloads.
The platform appeals to developers who want near-VPS control with near-PaaS convenience, and who care about global latency. It requires more Docker and networking familiarity than Railway or Render, but offers significantly more flexibility and lower latency at scale.
Key Features
- Firecracker microVM runtime — hardware-isolated, millisecond cold starts
- 35+ global deployment regions with anycast routing
- Auto-stop / auto-start Machines for scale-to-zero economics
- Managed Postgres, Redis (Upstash), and Tigris object storage
- Automatic TLS, private WireGuard network (6PN) between Machines
- GPU Machines (A100, L40S) for AI/ML inference
- Per-second billing with no fixed monthly platform fee
Pros
- Lowest latency of any PaaS-class platform thanks to 35+ edge regions
- Scale-to-zero keeps costs near zero for low-traffic or hobby apps
- Full Docker compatibility — no vendor-specific runtime
- Private networking between services is zero-config via 6PN
- Powerful flyctl CLI with excellent documentation
Cons
- Steeper learning curve than Railway or Render — requires Docker and CLI comfort
- Fly Postgres is self-managed (backups, major upgrades are user's responsibility)
- Pricing complexity — hard to predict costs without benchmarking your workload
- Smaller community and ecosystem compared to AWS or DigitalOcean
- No GUI-driven workflow; almost entirely CLI and config-file driven
Pricing
Usage Based- · 2 VM-hours free on signup
- · Explore platform capabilities
- · No credit card required initially
- · Transitions to usage-based billing after trial
- · 1 shared vCPU, 256 MB RAM
- · Per-second billing when running
- · Auto-stop when idle
- · Approximate cost at 100% uptime
- · Priority support queue
- · Faster response times
- · Add-on to any usage tier
- · 2 dedicated vCPUs, 4 GB RAM
- · Per-second billing when running
- · NVMe-backed performance
- · Approximate cost at 100% uptime
- · BAA and SOC2 compliance support
- · HIPAA-compliant workloads
- · Dedicated support contact
Related Tools
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