GitHub SLA Report Card
Actual measured uptime vs common SLA tiers
—
24h Uptime
—
7d Uptime
99.90%
30d Uptime
SLA Tier Compliance
| SLA Tier | Max Downtime/Month | Max Downtime/Year | 24h | 7d | 30d |
|---|---|---|---|---|---|
| 99.9% | 43m 12s | 8h 46m | |||
| 99.95% | 21m 36s | 4h 23m | |||
| 99.99% | 4m 19s | 52m 36s | |||
| 99.999% | 26s | 5m 16s |
Equivalent Downtime
Last 24 hours
—
Last 7 days
—
Last 30 days
43m
Incident Summary
Total Incidents
57
Active Now
0
Resolved
57
Avg. Resolution
1h 37m
Is GitHub Meeting Its SLA?
Service Level Agreements (SLAs) define the minimum uptime a provider guarantees. Common tiers include 99.9% (the “three nines”), 99.95%, 99.99% (“four nines”), and 99.999% (“five nines”). Each additional nine dramatically reduces the allowable downtime — from about 43 minutes per month at 99.9% to just 26 seconds at 99.999%.
Based on DevHelm's continuous monitoring, GitHub currently shows a 30-day measured uptime of 99.90%. This falls below the 99.9% threshold that most providers target. The equivalent downtime over the past 30 days is 43m.
What Does This Mean for Your Application?
If your application depends on GitHub, their reliability directly impacts yours. At 99.90% uptime, you can expect approximately 8h 46m of cumulative downtime per year from this dependency alone. If you depend on multiple services, their independent failure probabilities compound — making dependency monitoring critical for maintaining your own SLA commitments.
Incident Response Performance
GitHub has experienced 57 incidents in the recent monitoring window. Resolved incidents were fixed in an average of 1h 37m. Fast incident resolution is a strong indicator of operational maturity and well-staffed on-call teams.
Monitoring Methodology
DevHelm tracks GitHub's official status page continuously and aggregates component-level status data into uptime percentages. Data is refreshed every 5 minutes. Uptime is calculated as the percentage of time all components report operational status. This page is updated daily.
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