Concurrent Connections Stress Test

Real-world proxy usage rarely involves a single thread. Large-scale scraping operations, price monitoring systems, and ad verification platforms routinely push hundreds or thousands of concurrent connections through proxy infrastructure. This benchmark tests how proxy providers perform as concurrency scales from 10 to 1,000 simultaneous connections.

Why Concurrency Testing Matters

Many proxy providers advertise unlimited connections but fail to deliver consistent performance under load. Connection queuing, increased error rates, and latency spikes are common symptoms of infrastructure that cannot scale. This test reveals the true concurrency ceiling of each provider.

Test Protocol

We ramped connections in stages: 10, 25, 50, 100, 250, 500, and 1,000 concurrent threads. Each stage ran for 15 minutes with continuous requests at maximum throughput. We measured success rate, median latency, p95 latency, and error rate at each concurrency level.

Scaling Performance

| Concurrency | Hex Success Rate | Hex Median Latency | Industry Avg Success | Industry Avg Latency | |------------|-----------------|-------------------|---------------------|---------------------| | 10 | 98.5% | 135ms | 95.2% | 180ms | | 25 | 98.3% | 138ms | 94.8% | 195ms | | 50 | 98.1% | 142ms | 93.5% | 220ms | | 100 | 97.8% | 148ms | 91.0% | 280ms | | 250 | 97.2% | 158ms | 86.5% | 380ms | | 500 | 96.5% | 172ms | 78.2% | 520ms | | 1,000 | 95.1% | 195ms | 65.8% | 780ms |

Degradation Analysis

Hex Proxies showed a gradual, linear degradation pattern: success rate dropped 3.4 percentage points from 10 to 1,000 connections, and median latency increased by 44%. In contrast, industry averages showed exponential degradation, with success rates dropping 29.4 percentage points and latency increasing 333% over the same range.

Error Pattern Under Load

At 1,000 concurrent connections, Hex Proxies errors were predominantly timeouts (78%) rather than hard blocks (8%) or connection refused errors (14%). This pattern indicates that the proxy infrastructure gracefully handles overload by queuing rather than dropping connections, which allows retry logic to recover most failed requests.

Connection Pool Management

Hex Proxies demonstrated effective connection pool management with automatic scaling. No manual pool size configuration was needed, and the system maintained consistent IP diversity even at 1,000 concurrent connections. The unique IP count remained within 5% of the allocated pool size at all concurrency levels.

Recommendations for High-Concurrency Use Cases

For operations requiring 500+ concurrent connections, use session-based throttling to maintain quality. Start at your target concurrency and monitor success rates for the first 5 minutes before committing to a full run. Hex Proxies infrastructure supports high concurrency natively, but destination-side rate limiting may still require request pacing.