Fly.io

Deploys Docker containers across 30+ geographic regions (Sydney to São Paulo) with automatic routing to edge infrastructure closest to end users. Uses a proprietary orchestration layer that provisions Micro VMs per container, manages networking across regions, and routes HTTP traffic based on geographic proximity. Supports framework-agnostic applications (Phoenix, Rails, Django, NextJS, Laravel, SvelteKit) by treating them as Docker artifacts.

Executes AI-generated or untrusted code in isolated hardware sandboxes called 'Sprites' with dedicated CPU, memory, networking, and filesystem per instance. Provides environment checkpointing and restoration capabilities, enabling rapid startup (claimed <1 second) and safe execution of code generated by LLMs without risking host system compromise. Each Sprite runs as a separate Micro VM with hardware-level isolation rather than container-level isolation.

Includes 'Accidental Deployments Are on the House' policy for paid support customers ($29/month minimum), waiving charges for unintended deployments or scaling events. Combines per-second billing granularity with billing safeguards to reduce surprise costs. Specific thresholds for what qualifies as 'accidental' and dispute resolution procedures are not documented.

Provides native integration with managed databases (CockroachDB, globally-distributed Postgres) and distributed systems (Elixir FLAME for distributed Erlang clusters) via private networking and coordinated deployment. Enables building multi-service architectures where databases and application clusters run on Fly.io infrastructure with automatic networking and encryption. Specific integration APIs and configuration mechanisms are not documented.

Provides SSO integration for Fly.io account access and API authentication via narrowly-scoped tokens. Tokens can be restricted to specific organizations, applications, or operations, enabling fine-grained access control for CI/CD systems, third-party tools, and team members. Specific SSO providers and token scoping options not detailed.

Fly's infrastructure is built on memory-safe Rust and Go, reducing vulnerability surface from memory corruption bugs. This architectural choice affects platform reliability and security but does not directly expose capabilities to end users. Mentioned as security differentiator but implementation details not provided.

Charges for CPU and memory consumption on a per-second basis rather than hourly or monthly minimums, enabling cost-efficient scaling for variable workloads. Offers 40% discount on reserved capacity for predictable workloads, and includes 'Accidental Deployments Are on the House' policy for paid support customers to waive unintended charges. Pricing calculator available but specific per-second rates not documented.

Provides automatic private networking between deployed applications and services (databases, caches, message queues) with end-to-end encryption enabled by default. Eliminates need for manual VPN configuration or public IP exposure. Supports integration with managed databases (Cockroach, globally-distributed Postgres) and distributed systems (Elixir FLAME, RPC systems, clustered databases) via private network connections.

Provisions GPU machines for running AI inference models, training, and compute-intensive workloads alongside CPU-based applications. Specific GPU types, VRAM configurations, and pricing are not documented in available materials. Supports deployment via Docker containers, enabling any GPU-compatible framework (PyTorch, TensorFlow, ONNX, etc.) to run on Fly.io infrastructure.

Provisions Micro VMs on-demand with claimed startup time fast enough to handle HTTP requests, enabling horizontal scaling to 'tens of thousands of instances' per application. Uses proprietary orchestration to manage VM lifecycle, resource allocation, and termination. Supports auto-scaling based on demand, though specific scaling policies, metrics, and configuration mechanisms are not documented.

Provides flyctl command-line interface for deploying, managing, and orchestrating applications on Fly.io infrastructure. Enables deployment from local development environment without web UI, supports CI/CD integration (specific integrations unknown), and provides terminal-based access to logs, metrics, and application management. Eliminates need for Terraform or other IaC tools by using proprietary CLI commands.

Provides two storage tiers: fast local NVMe storage for high-performance workloads and global durable object storage for persistent data. Supports stateful workloads including clustered databases, RPC systems, and distributed applications. Storage APIs and capacity limits are not documented. Integrates with managed databases (Cockroach, globally-distributed Postgres) for data persistence.

Provides SOC2 Type 2 attestation for compliance-sensitive workloads, with optional HIPAA compliance add-on ($99/month) including Business Associate Agreements (BAAs) and additional security controls. Infrastructure built on memory-safe languages (Rust and Go) to reduce vulnerability surface. Supports SSO authentication and narrowly-scoped API tokens for access control. Specific encryption algorithms, key management, and GDPR compliance details are not documented.

Deploys any Docker-containerized application regardless of language or framework, with documented support for Phoenix (Elixir), Rails (Ruby), Django (Python), Laravel (PHP), NextJS (JavaScript), and SvelteKit (JavaScript). Treats applications as portable Docker artifacts, enabling framework-agnostic deployment and reducing vendor lock-in. Automatically handles networking, scaling, and multi-region distribution for any containerized workload.