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Fly.io
Run User (or Robot) Code on Fly Machines

Fly.io
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What is Fly.io?

Fly.io is a cloud platform designed for developers to deploy and run applications closer to their users across a global network. It utilizes Fly Machines, which are hardware-virtualized containers with a REST API, capable of running any Docker image. These machines can be launched instantly in 35 regions worldwide and are designed to boot in milliseconds, suitable for tasks ranging from handling single HTTP requests to maintaining weeks of uptime.

The platform emphasizes efficiency and security, offering features like automatic scaling to zero when idle, ensuring users only pay for utilized compute resources. It supports dynamic request routing to dedicated user sandboxes and provides persistent storage options including Fly Volumes, Managed Postgres, and S3-compatible Tigris Data. Fly.io also facilitates integration with Large Language Model (LLM) workflows through Model Context Protocol (MCP) servers and Server-Sent Events (SSE), all built on a memory-safe stack with KVM hardware isolation.

Features

  • Fly Machines: Hardware-virtualized containers with a REST API for running Docker images.
  • Global Deployment: Run applications in 35 regions worldwide.
  • Fast Boot Times: Machines boot in milliseconds.
  • Scale to Zero: Automatically scales down resources when not in use.
  • User-Specific Routing: Dynamic request routing to dedicated user sandboxes using Fly Proxy.
  • Persistent Storage: Options include Fly Volumes, Managed Postgres, and S3-compatible Tigris Data.
  • MCP with SSE: Build remote Model Context Protocol servers and use Server-Sent Events for LLM workflows.
  • Framework Support: Built-in support and container generation for popular frameworks (Rails, Phoenix, Django, Node, Laravel, .NET, etc.).
  • Secure by Default: KVM hardware isolation and a memory-safe stack.
  • CI/CD Integration: Integrates with continuous integration and deployment pipelines.

Use Cases

  • Deploying full-stack web applications globally.
  • Creating isolated code execution sandboxes for users or processes.
  • Building and hosting backend services requiring low latency.
  • Running applications that need to scale down to zero cost when inactive.
  • Developing and deploying LLM-integrated applications.
  • Hosting containerized applications with persistent storage needs.
  • Setting up development and staging environments quickly.

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