Fly.io is an edge-native cloud platform that runs applications in micro-VMs (Firecracker) close to users across 35+ regions worldwide. Unlike traditional PaaS platforms that deploy to a single region, Fly.io distributes applications globally at the infrastructure layer, reducing latency for users everywhere. The platform supports any Docker container, provides managed Postgres via Fly Postgres, Upstash Redis, LiteFS for SQLite replication, and GPU machines for AI workloads. Fly.io has become popular for latency-sensitive applications, real-time multiplayer systems, and AI inference at the edge.
Fly.io outages commonly involve Firecracker micro-VM scheduling failures in specific regions, networking issues between edge regions and the control plane, and Fly Postgres cluster failover problems. The distributed nature of the platform means regional outages are more common than global ones, but control plane issues can prevent deployments and scaling operations across all regions. DNS resolution delays for .fly.dev domains and certificate provisioning errors for custom domains are recurring incident types.
When Fly.io goes down, the impact depends on the deployment topology. Applications deployed to a single region experience complete unavailability, while multi-region deployments may survive with degraded performance as traffic routes to healthy regions. Fly Postgres failover may not complete cleanly, requiring manual intervention. The inability to deploy, scale, or manage applications through the CLI or API prevents teams from responding to the outage itself.
Use this page to check Fly.io availability. Fly.io outages are often region-specific due to the distributed edge architecture. Check status.flyio.net for per-region status information. If your app is deployed to multiple regions, some regions may be healthy while others experience issues.
Regional unavailability is the most common Fly.io incident type. Specific regions can experience networking issues, VM scheduling failures, or capacity constraints independently. Check which regions your app is deployed to using 'fly status' and compare with status.flyio.net. Consider deploying to additional regions for redundancy.
Fly Postgres uses Stolon for high availability with automatic failover. When a primary node fails, a replica is promoted. However, failover is not always seamless — applications may experience brief connection errors during promotion. Monitor your Postgres cluster with 'fly postgres connect' and set up external monitoring for your database-dependent endpoints.
Fly.io is production-ready for many workloads, particularly latency-sensitive applications benefiting from edge deployment. The platform has matured significantly but remains smaller than established providers. For mission-critical applications, deploy across multiple regions and implement health checks. Evaluate recent uptime history on their status page before committing production workloads.
Monitor your Fly.io applications with PinusX Uptime Monitor from multiple external locations. Get Slack and email alerts within 60 seconds of any downtime. Since Fly.io deploys globally, monitoring from diverse geographic locations helps identify region-specific issues that might not affect all users.
Monitor Fly.io uptime with PinusX. Get instant alerts when services go down.