AWS Lambda vs Fly.io
Reliability comparison based on uptime, incident history, and mean time to recovery. Updated daily.
 AWS Lambda
|
F
Fly.io
|
|
|---|---|---|
| Current Status | Operational | Operational |
| Uptime (30d) | N/A | 97.346% Best |
| Uptime (90d) | N/A | 96.128% Best |
| MTTR | N/A | 2.2 hrs Best |
| Incidents (30d) | 0 Best | 8 |
| Incidents (90d) | 0 Best | 40 |
| Reliability Score | 100.0/100 Best | 65.2/100 |
Recent Incidents
Fly.io
Network outage in AMS region
critical
Fly.io
State database issues in GRU
major
Fly.io
Private Networking issues (6PN)
major
Fly.io
Partial Sprites outage in SJC region
major
Fly.io
Partial Sprites outage
major
Fly.io
Elevated private networking errors
major
Fly.io
Depot builder failures
minor
Fly.io
Network issues in US West Coast
minor
Fly.io
Sprites API Partial Outage
minor
Fly.io
Network issues in LAX
minor
Fly.io
Upstream network issues
minor
Fly.io
API background job queue failure
major
Fly.io
Packet loss in ORD
minor
Fly.io
Networking Issues in GRU
minor
Fly.io
Increased packet loss
minor
Fly.io
WireGuard gateway issues
minor
Fly.io
Metrics in some regions are lagging behind
minor
Fly.io
Network Issues in LAX Region
major
Fly.io
Oauth/Macaroon Errors from flyctl
none
Fly.io
MPG (v1) partially down in ORD
major
Frequently Asked Questions
Which is more reliable, AWS Lambda or Fly.io?
Based on our monitoring data, AWS Lambda is currently more reliable than Fly.io. AWS Lambda has a reliability score of 100.0/100 compared to Fly.io's 65.2/100. This score factors in uptime percentage, mean time to recovery, incident frequency, and consistency. Monitor both services with Happy Uptime for real-time alerts.
Which has better uptime, AWS Lambda or Fly.io?
Over the last 30 days, Fly.io has a higher uptime of 97.346% compared to AWS Lambda's N/A. We check both services every 5 minutes from multiple global regions.
Is AWS Lambda more stable than Fly.io?
AWS Lambda has been more stable over the past 90 days with 0 incidents compared to Fly.io's 40 incidents. Fewer incidents generally indicates a more stable service. Use Happy Uptime to track both services and get AI-powered incident analysis.
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