Linear SLA Report Card
Actual measured uptime vs common SLA tiers
Data Collection in Progress
DevHelm is still gathering uptime data for Linear. SLA compliance metrics will appear once sufficient monitoring data is available.
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
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Last 7 days
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Last 30 days
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Incident Summary
Total Incidents
27
Active Now
0
Resolved
27
Avg. Resolution
-97564m
Is Linear 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, Linear currently shows a 30-day measured uptime of —. Uptime data is not yet available for a full 30-day window. Check back as DevHelm accumulates more monitoring data for Linear.
What Does This Mean for Your Application?
If your application depends on Linear, their reliability directly impacts yours. Once sufficient monitoring data is collected, this section will show projected annual downtime based on measured uptime. If you depend on multiple services, their independent failure probabilities compound — making dependency monitoring critical for maintaining your own SLA commitments.
Incident Response Performance
Linear has experienced 27 incidents in the recent monitoring window. Resolved incidents were fixed in an average of -97564m. Fast incident resolution is a strong indicator of operational maturity and well-staffed on-call teams.
Monitoring Methodology
DevHelm tracks Linear'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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