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Proxy Uptime Monitoring Results

Continuous uptime monitoring results for proxy infrastructure over 90 days.

Scorecard

Reliability Score
98.3
Composite reliability score based on uptime, degradation, and incident recovery.

Methodology

  • • Synthetic monitors from 5 global locations
  • • Health checks every 60 seconds for 90 days
  • • Multi-monitor confirmation required to register failure
  • • Tracked full outages and degraded performance separately
  • • Regional breakdown computed independently

Metrics

Overall uptime: Percentage of time proxy infrastructure was fully operational.
Degraded performance: Percentage of time with latency exceeding 2x baseline.
Mean time to recovery: Average time from incident detection to full service restoration.
Incident count: Total number of confirmed downtime events in the monitoring period.
Last updated 2026-03-10 • 90-day window

Proxy Uptime Monitoring Results

Uptime is the foundation of reliable proxy operations. Downtime during critical windows can mean missed data, failed automations, and lost revenue. This report presents 90 days of continuous uptime monitoring for Hex Proxies infrastructure compared to industry benchmarks.

Monitoring Setup

We deployed synthetic monitors from five global locations that sent health-check requests every 60 seconds, 24/7, for 90 consecutive days. Each monitor tested proxy gateway availability, authentication success, and end-to-end request completion. A failure required confirmation from at least two monitors to eliminate false positives from network path issues.

Overall Uptime Results

Hex Proxies achieved 99.97% uptime over the 90-day monitoring period, equating to approximately 13 minutes of total downtime across the entire period. This exceeds the industry average of 99.5-99.8% and meets enterprise-grade SLA requirements.

| Provider | Uptime % | Total Downtime | Longest Incident | Incidents Count | |----------|---------|---------------|-----------------|-----------------| | Hex Proxies | 99.97% | ~13 min | 6 min | 3 | | Provider B | 99.82% | ~2.3 hrs | 45 min | 8 | | Provider C | 99.65% | ~4.5 hrs | 1.5 hrs | 12 | | Industry Average | 99.72% | ~3.6 hrs | 55 min | 9 |

Incident Analysis

Hex Proxies experienced three brief incidents during the monitoring period. Two were planned maintenance windows (under 4 minutes each) with advance notice, and one was an unplanned gateway failover that lasted 6 minutes. All incidents occurred during low-traffic hours and were resolved automatically by the failover system.

Regional Uptime Breakdown

Uptime varied slightly by region due to different infrastructure configurations. US endpoints achieved 99.98% uptime, European endpoints hit 99.97%, and APAC endpoints recorded 99.95%. No single region experienced more than 8 minutes of total downtime over 90 days.

Degraded Performance vs Full Outage

Beyond binary uptime, we tracked periods of degraded performance (latency exceeding 2x baseline). Hex Proxies showed degraded performance for 0.12% of the monitoring period, compared to 1.5-3% for competing providers. This metric captures quality degradation that does not appear in traditional uptime measurements.

Failover Behavior

During the single unplanned incident, Hex Proxies automatic failover system rerouted traffic to a secondary gateway within 45 seconds. Requests in-flight during the failover experienced a median additional latency of 350ms but were not dropped. This graceful degradation pattern means that even during incidents, most requests succeed.

Maintenance Window Strategy

Hex Proxies schedules maintenance during the lowest-traffic 2-hour window per region and uses rolling updates that affect less than 5% of capacity at any time. This approach keeps the service operational during maintenance, with affected requests transparently rerouted.

Implications for Production Workloads

For production systems that depend on continuous proxy availability, Hex Proxies 99.97% uptime translates to less than 16 minutes of downtime per month. Combined with automatic failover and graceful degradation, the risk of data loss or workflow interruption is minimal.

Steps

1
Deploy monitors
Set up synthetic health checks from multiple global locations.
2
Define thresholds
Establish uptime and degradation thresholds before monitoring begins.
3
Run continuous monitoring
Collect data for at least 30 days for statistically significant results.
4
Analyze incidents
Classify each incident by root cause, duration, and recovery method.

Tips

  • • Use multi-location monitoring to distinguish provider outages from network path issues.
  • • Track degraded performance alongside binary uptime for a complete reliability picture.
  • • Request SLA documentation and compare against measured uptime before committing to a provider.

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