# Helixdevelopment Helixagent Windsurf Load Scale

> Windsurf Load & Scale

- Skill: `tomevault-io/helixdevelopment-helixagent-windsurf-load-scale` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add tomevault-io/helixdevelopment-helixagent-windsurf-load-scale`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/helixdevelopment-helixagent-windsurf-load-scale/raw
- Safety review: pending (external: skill-scanner FAIL, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: tomevault-io (https://skillmd.com/u/tomevault-io)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tomevault-io/helixdevelopment-helixagent-windsurf-load-scale

---


# Windsurf Load & Scale

## Overview
Load testing, scaling strategies, and capacity planning for Windsurf integrations.

## Prerequisites
- k6 load testing tool installed
- Kubernetes cluster with HPA configured
- Prometheus for metrics collection
- Test environment API keys

## Load Testing with k6

### Basic Load Test
```javascript
// windsurf-load-test.js
import http from 'k6/http';
import { check, sleep } from 'k6';

export const options = {
  stages: [
    { duration: '2m', target: 10 },   // Ramp up
    { duration: '5m', target: 10 },   // Steady state
    { duration: '2m', target: 50 },   // Ramp to peak
    { duration: '5m', target: 50 },   // Stress test
    { duration: '2m', target: 0 },    // Ramp down
  ],
  thresholds: {
    http_req_duration: ['p(95)<500'],
    http_req_failed: ['rate<0.01'],
  },
};

export default function () {
  const response = http.post(
    'https://api.windsurf.com/v1/resource',
    JSON.stringify({ test: true }),
    {
      headers: {
        'Content-Type': 'application/json',
        'Authorization': `Bearer ${__ENV.WINDSURF_API_KEY}`,
      },
    }
  );

  check(response, {
    'status is 200': (r) => r.status === 200,
    'latency < 500ms': (r) => r.timings.duration < 500,
  });

  sleep(1);
}
```

### Run Load Test
```bash
# Install k6
brew install k6  # macOS
# or: sudo apt install k6  # Linux

# Run test
k6 run --env WINDSURF_API_KEY=${WINDSURF_API_KEY} windsurf-load-test.js

# Run with output to InfluxDB
k6 run --out influxdb=http://localhost:8086/k6 windsurf-load-test.js
```

## Scaling Patterns

### Horizontal Scaling
```yaml
# kubernetes HPA
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
  name: windsurf-integration-hpa
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: windsurf-integration
  minReplicas: 2
  maxReplicas: 20
  metrics:
    - type: Resource
      resource:
        name: cpu
        target:
          type: Utilization
          averageUtilization: 70
    - type: Pods
      pods:
        metric:
          name: windsurf_queue_depth
        target:
          type: AverageValue
          averageValue: 100
```

### Connection Pooling
```typescript
import { Pool } from 'generic-pool';

const windsurfPool = Pool.create({
  create: async () => {
    return new WindsurfClient({
      apiKey: process.env.WINDSURF_API_KEY!,
    });
  },
  destroy: async (client) => {
    await client.close();
  },
  max: 20,
  min: 5,
  idleTimeoutMillis: 30000,
});

async function withWindsurfClient<T>(
  fn: (client: WindsurfClient) => Promise<T>
): Promise<T> {
  const client = await windsurfPool.acquire();
  try {
    return await fn(client);
  } finally {
    windsurfPool.release(client);
  }
}
```

## Capacity Planning

### Metrics to Monitor
| Metric | Warning | Critical |
|--------|---------|----------|
| CPU Utilization | > 70% | > 85% |
| Memory Usage | > 75% | > 90% |
| Request Queue Depth | > 100 | > 500 |
| Error Rate | > 1% | > 5% |
| P95 Latency | > 1000ms | > 3000ms |

### Capacity Calculation
```typescript
interface CapacityEstimate {
  currentRPS: number;
  maxRPS: number;
  headroom: number;
  scaleRecommendation: string;
}

function estimateWindsurfCapacity(
  metrics: SystemMetrics
): CapacityEstimate {
  const currentRPS = metrics.requestsPerSecond;
  const avgLatency = metrics.p50Latency;
  const cpuUtilization = metrics.cpuPercent;

  // Estimate max RPS based on current performance
  const maxRPS = currentRPS / (cpuUtilization / 100) * 0.7; // 70% target
  const headroom = ((maxRPS - currentRPS) / currentRPS) * 100;

  return {
    currentRPS,
    maxRPS: Math.floor(maxRPS),
    headroom: Math.round(headroom),
    scaleRecommendation: headroom < 30
      ? 'Scale up soon'
      : headroom < 50
      ? 'Monitor closely'
      : 'Adequate capacity',
  };
}
```

## Benchmark Results Template

```markdown
## Windsurf Performance Benchmark
**Date:** YYYY-MM-DD
**Environment:** [staging/production]
**SDK Version:** X.Y.Z

### Test Configuration
- Duration: 10 minutes
- Ramp: 10 → 100 → 10 VUs
- Target endpoint: /v1/resource

### Results
| Metric | Value |
|--------|-------|
| Total Requests | 50,000 |
| Success Rate | 99.9% |
| P50 Latency | 120ms |
| P95 Latency | 350ms |
| P99 Latency | 800ms |
| Max RPS Achieved | 150 |

### Observations
- [Key finding 1]
- [Key finding 2]

### Recommendations
- [Scaling recommendation]
```

## Instructions

### Step 1: Create Load Test Script
Write k6 test script with appropriate thresholds.

### Step 2: Configure Auto-Scaling
Set up HPA with CPU and custom metrics.

### Step 3: Run Load Test
Execute test and collect metrics.

### Step 4: Analyze and Document
Record results in benchmark template.

## Output
- Load test script created
- HPA configured
- Benchmark results documented
- Capacity recommendations defined

## Error Handling
| Issue | Cause | Solution |
|-------|-------|----------|
| k6 timeout | Rate limited | Reduce RPS |
| HPA not scaling | Wrong metrics | Verify metric name |
| Connection refused | Pool exhausted | Increase pool size |
| Inconsistent results | Warm-up needed | Add ramp-up phase |

## Examples

### Quick k6 Test
```bash
k6 run --vus 10 --duration 30s windsurf-load-test.js
```

### Check Current Capacity
```typescript
const metrics = await getSystemMetrics();
const capacity = estimateWindsurfCapacity(metrics);
console.log('Headroom:', capacity.headroom + '%');
console.log('Recommendation:', capacity.scaleRecommendation);
```

### Scale HPA Manually
```bash
kubectl scale deployment windsurf-integration --replicas=5
kubectl get hpa windsurf-integration-hpa
```

## Resources
- [k6 Documentation](https://k6.io/docs/)
- [Kubernetes HPA](https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/)
- [Windsurf Rate Limits](https://docs.windsurf.com/rate-limits)

## Next Steps
For reliability patterns, see `windsurf-reliability-patterns`.

---
> Source: [HelixDevelopment/HelixAgent](https://github.com/HelixDevelopment/HelixAgent) — distributed by [TomeVault](https://tomevault.io).
<!-- tomevault:4.0:skill_md:2026-06-16 -->