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AWS vs Google Cloud

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

AWS
Major Outage
Google Cloud
Operational
FeatureAWSGoogle Cloud
Current StatusMajor OutageOperational
24-Hour Uptime
7-Day Uptime
30-Day Uptime
90-Day Uptime100.00%100.00%
Recent Incidents (total)10
Active Incidents10
Avg. Resolution Time
Tracked Components00

AWS vs Google Cloud: Uptime and Reliability Analysis

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

Based on DevHelm's continuous monitoring of their official status pages, AWS currently reports a 30-day uptime of while Google Cloud reports . Uptime data may not be available for all periods.

Incident Frequency

Over the recent monitoring window, AWS has logged 1 incident while Google Cloud has recorded 0 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

AWS has no recent resolved incidents for MTTR calculation. Google Cloud has no recent resolved incidents for MTTR calculation. Lower resolution times mean less disruption to your application and users.

Component Coverage

AWS exposes 0 trackable components on their status page, compared to 0 for Google Cloud. 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 AWS and Google Cloud are production-grade cloud 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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