Juicebox Observability Skill

Juicebox Observability

Overview

Juicebox provides AI-powered people search and analysis where query performance, dataset ingestion rates, and quota consumption are the primary observability concerns. Monitor analysis completion times to ensure interactive UX, track ingestion pipeline health for data freshness, and watch quota usage to prevent mid-workflow cutoffs. Slow queries or failed ingestions degrade recruiter productivity and data accuracy.

Key Metrics

| Metric | Type | Target | Alert Threshold | |--------|------|--------|-----------------| | Search latency p95 | Histogram | < 2s | > 5s | | Analysis completion time | Histogram | < 10s | > 30s | | Dataset ingestion rate | Gauge | > 100 records/s | < 50 records/s | | API error rate | Gauge | < 1% | > 5% | | Quota usage (daily) | Gauge | < 70% | > 85% | | Query result relevance | Gauge | > 80% precision | < 60% |

Instrumentation

async function trackJuiceboxCall(operation: string, fn: () => Promise<any>) {
  const start = Date.now();
  try {
    const result = await fn();
    metrics.histogram('juicebox.api.latency', Date.now() - start, { operation });
    metrics.increment('juicebox.api.calls', { operation, status: 'ok' });
    return result;
  } catch (err) {
    metrics.increment('juicebox.api.errors', { operation, error: err.code });
    throw err;
  }
}

Health Check Dashboard

async function juiceboxHealth(): Promise<Record<string, string>> {
  const searchP95 = await metrics.query('juicebox.api.latency', 'p95', '5m');
  const errorRate = await metrics.query('juicebox.api.error_rate', 'avg', '5m');
  const quota = await juiceboxAdmin.getQuotaUsage();
  return {
    search_latency: searchP95 < 2000 ? 'healthy' : 'slow',
    error_rate: errorRate < 0.01 ? 'healthy' : 'degraded',
    quota: quota.pct < 0.7 ? 'healthy' : 'at_risk',
  };
}

Alerting Rules

const alerts = [
  { metric: 'juicebox.search.latency_p95', condition: '> 5s', window: '10m', severity: 'warning' },
  { metric: 'juicebox.api.error_rate', condition: '> 0.05', window: '5m', severity: 'critical' },
  { metric: 'juicebox.quota.daily_pct', condition: '> 0.85', window: '1h', severity: 'warning' },
  { metric: 'juicebox.ingestion.rate', condition: '< 50/s', window: '15m', severity: 'critical' },
];

Structured Logging

function logJuiceboxEvent(event: string, data: Record<string, any>) {
  console.log(JSON.stringify({
    service: 'juicebox', event,
    operation: data.operation, duration_ms: data.latency,
    result_count: data.resultCount, query_length: data.queryLen,
    // Redact candidate PII — log only aggregate counts
    timestamp: new Date().toISOString(),
  }));
}

Error Handling

| Signal | Meaning | Action | |--------|---------|--------| | 429 rate limit | Quota exhausted for period | Pause queries, check daily allocation | | Search timeout > 5s | Complex query or service load | Simplify filters, retry with narrower scope | | Ingestion stall | Dataset too large or format error | Check upload logs, validate schema | | Empty result set | Index gap or query mismatch | Verify dataset freshness, adjust search params |

Resources

Juicebox Dashboard

Next Steps

See juicebox-incident-runbook.

Agent Skills: Juicebox Observability

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