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Vercel vs Netlify

Side-by-side uptime and reliability comparison based on real monitoring data.

Vercel
Operational
Netlify
Operational
FeatureVercelNetlify
Current StatusOperationalOperational
24-Hour Uptime99.86%100.00%
7-Day Uptime99.95%100.00%
30-Day Uptime99.99%99.98%
90-Day Uptime99.99%99.99%
Recent Incidents (total)3114
Active Incidents00
Avg. Resolution Time2h 23m38m
Tracked Components5939

Vercel vs Netlify: Uptime and Reliability Analysis

When evaluating devtools services for your stack, uptime and reliability are critical factors. Both Vercel and Netlify are widely used in the devtools space, but how do they compare on actual measured reliability?

Based on DevHelm's continuous monitoring of their official status pages, Vercel currently reports a 30-day uptime of 99.99% while Netlify reports 99.98%. This gives Vercel a slight edge in overall uptime for the past month.

Incident Frequency

Over the recent monitoring window, Vercel has logged 31 incidents while Netlify has recorded 14 incidents. Fewer incidents generally indicates more stable infrastructure, though the severity and duration of each incident matter as much as the raw count.

Mean Time to Resolution

Vercel resolves incidents in an average of 2h 23m. Netlify averages 38m per incident. Lower resolution times mean less disruption to your application and users.

Component Coverage

Vercel exposes 59 trackable components on their status page, compared to 39 for Netlify. More components means more granular visibility into which parts of the service are affected during an outage. This is especially useful for targeted alerting and incident response.

Which Should You Choose?

Both Vercel and Netlify are production-grade devtools services used by thousands of companies. Your choice should factor in reliability alongside features, pricing, and ecosystem fit. DevHelm tracks both services continuously — add them to your workspace to receive real-time alerts when either experiences issues.

Methodology

DevHelm monitors the official status pages of both services and computes uptime from their self-reported component status data. Uptime percentages reflect the proportion of time all components reported operational status. Incident counts and resolution times come from vendor-published incident timelines. This comparison uses the same data source and methodology for both services to ensure a fair comparison. Data is refreshed every few minutes and aggregated daily.

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