Traffic Test to Your Page

Send controlled traffic to test your website's performance, CDN caching, load handling, and infrastructure limits. Find breaking points before customers do.

You don't know how your site handles real load until you test it. This actor sends realistic, distributed traffic to your domain and measures how it behaves: response times, throughput, error rates, CSS/JS loading, image optimization, CDN effectiveness, and infrastructure bottlenecks. Identify breaking points, validate CDN config, and optimize before traffic spikes.

⚡ What You Get

Load Test & Performance Report
├── Target URL: https://yoursite.com
├── Test Configuration
│   ├── Duration: 5 minutes
│   ├── Concurrent Users: 100 (ramped up over 30s)
│   ├── Requests Per Second: 50
│   ├── Geographic Distribution: US, EU, Asia
│   └── Device Mix: Desktop (60%), Mobile (40%)
├── Results Summary
│   ├── Total Requests: 15,000
│   ├── Successful Responses: 14,987 (99.91%)
│   ├── Failed/Errors: 13 (0.09%)
│   └── Status: ✓ Passed
├── Response Time Analysis
│   ├── Avg Response Time: 245ms
│   ├── P50 (Median): 180ms
│   ├── P95: 520ms 👈 95% of users saw this speed or better
│   ├── P99: 1,240ms
│   └── Max: 3,847ms (outlier during spike)
├── Throughput Metrics
│   ├── Requests/Second: 49.8 (target: 50)
│   ├── Bytes Received/Sec: 12.4 MB/s
│   ├── Bytes Sent/Sec: 3.2 MB/s
│   └── Efficiency: Excellent (no queuing)
├── Error Analysis
│   ├── 500 Errors: 8 (database timeout at peak)
│   ├── 502 Errors: 3 (nginx overload)
│   ├── 503 Errors: 2 (graceful degradation)
│   └── Root Cause: Database connection pool maxed at 100
├── Resource Caching Performance
│   ├── CSS Files: 98% cache hit rate
│   ├── JavaScript: 97% cache hit rate
│   ├── Images: 94% cache hit rate
│   ├── Static Assets: Excellent CDN performance
│   └── Dynamic Content: No caching (expected)
├── CDN & Geographic Performance
│   ├── US (East): 145ms avg (excellent)
│   ├── US (West): 182ms avg (good)
│   ├── EU: 320ms avg (acceptable, latency)
│   ├── Asia: 542ms avg (needs optimization or regional CDN)
│   └── Recommendation: Add Asia-Pacific edge locations
└── Bottleneck Analysis
    ├── Database Queries: Slowest component (avg 180ms)
    ├── API Calls: 45ms avg
    ├── Server Rendering: 65ms avg
    └── Optimization Opportunities:
    │   ├── Add database read replica (reduce query time)
    │   ├── Implement caching layer (Redis)
    │   └── Optimize slow queries (3 identified)
    └── Estimated Impact if optimized: -110ms per request

🎯 Use Cases

• Pre-Launch Testing: Before going live, verify your infrastructure handles expected peak load.
• CDN Validation: Confirm your CDN is configured correctly. Are assets being cached? Is edge coverage good?
• Capacity Planning: Know your infrastructure limits. Can you handle 100 concurrent users? 1000? Where does it break?
• Performance Optimization: Identify slowest components. Database? API calls? Large assets? Fix what matters most.
• Incident Post-Mortems: Site went down during traffic spike? Run test to reproduce and understand failure.
• Infrastructure Upgrade Decisions: Do you need to upgrade your database? Add more servers? Load testing tells you.

📊 Sample Output

{
  "test_id": "load_test_abc123",
  "target_url": "https://yoursite.com",
  "test_timestamp": "2024-02-15T10:30:00Z",
  "test_config": {
    "duration_seconds": 300,
    "concurrent_users": 100,
    "ramp_up_time_seconds": 30,
    "requests_per_second": 50,
    "geographic_distribution": ["US", "EU", "Asia"],
    "device_mix": {"desktop": 60, "mobile": 40}
  },
  "overall_results": {
    "total_requests": 15000,
    "successful_requests": 14987,
    "failed_requests": 13,
    "success_rate_percent": 99.91,
    "total_duration_seconds": 300
  },
  "response_time_metrics": {
    "average_ms": 245,
    "p50_ms": 180,
    "p95_ms": 520,
    "p99_ms": 1240,
    "max_ms": 3847
  },
  "throughput_metrics": {
    "requests_per_second": 49.8,
    "bytes_received_per_sec": 12400000,
    "bytes_sent_per_sec": 3200000
  },
  "errors": [
    {
      "status_code": 500,
      "count": 8,
      "error_message": "Database connection timeout",
      "first_occurrence": "2024-02-15T10:32:15Z"
    },
    {
      "status_code": 502,
      "count": 3,
      "error_message": "Bad Gateway - nginx overload"
    }
  ],
  "caching_performance": {
    "css_cache_hit_percent": 98,
    "javascript_cache_hit_percent": 97,
    "image_cache_hit_percent": 94,
    "overall_cdn_effectiveness": "excellent"
  },
  "geographic_performance": [
    {
      "region": "US East",
      "average_response_ms": 145,
      "rating": "excellent"
    },
    {
      "region": "Asia Pacific",
      "average_response_ms": 542,
      "rating": "needs optimization"
    }
  ],
  "bottlenecks": [
    {
      "component": "Database Queries",
      "average_time_ms": 180,
      "percentage_of_total": 73,
      "optimization": "Add read replica, implement caching"
    }
  ],
  "recommendations": [
    "Increase database connection pool from 100 to 200",
    "Add Redis caching layer for frequently-queried data",
    "Deploy edge location in Asia-Pacific region"
  ]
}

Field Descriptions:

• response_time_metrics: P95 is the key metric (what 95% of users experience)
• throughput_metrics: Can the server handle expected requests/second?
• errors: What breaks first? Database? API? Load balancer?
• bottlenecks: Slowest components (target these for optimization)
• recommendations: Specific improvements with estimated impact

🔗 Integrations & Automation

Webhook to Monitoring: Feed load test results into your APM (DataDog, New Relic).

Email Report: Detailed PDF report with performance graphs, bottleneck analysis, and recommendations.

Slack Alerts: Critical issues found? Slack alert immediately with severity.

MCP Compatible: AI agents can analyze results and generate optimization roadmaps.

REST API: Schedule recurring load tests, track performance degradation over time.

See integration docs →

🔌 Works Great With

• Website Tech Stack Detector — Understand your tech stack, then test it under load.
• SaaS Status Monitor — Before load testing, confirm your infrastructure dependencies are healthy.
• Super Stealth Scraper — Generate realistic traffic patterns based on actual user behavior.

💰 Cost & Performance

Typical run: 15,000 requests, 5-minute test, complete performance profile for ~$6.80.

That's $0.00045 per request — cheaper than the cost of actual paying customers discovering a broken site.

Compare to manual: Hiring a load testing consultant? $5,000+ per test, plus 2 weeks turnaround. We do it in 5 minutes for $6.80. You can test your infra changes daily.

🛡️ Built Right

• Realistic traffic generation from actual geographies (not single-source spam)
• Distributed load from multiple nodes (not local bottleneck)
• Device simulation tests both desktop and mobile performance
• Gradual ramp-up shows performance degradation as load increases
• Detailed error tracking identifies exactly what breaks and when
• Non-destructive testing (respects your traffic limits)

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📧 Email alerts · 🔗 Webhook triggers · 🤖 MCP compatible · 📡 API access

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