juicebox-observability

Set up Juicebox monitoring. Trigger: "juicebox monitoring", "juicebox metrics".

claude-code
4 Tools
juicebox-pack Plugin
saas packs Category

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juicebox-pack

Claude Code skill pack for Juicebox (24 skills)

saas packs v1.0.0
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Installation

This skill is included in the juicebox-pack plugin:

/plugin install juicebox-pack@claude-code-plugins-plus

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Instructions

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

Next Steps

See juicebox-incident-runbook.

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