juicebox-observability
Set up Juicebox monitoring. Trigger: "juicebox monitoring", "juicebox metrics".
claude-code
Allowed Tools
ReadWriteEditGrep
Provided by Plugin
juicebox-pack
Claude Code skill pack for Juicebox (24 skills)
Installation
This skill is included in the juicebox-pack plugin:
/plugin install juicebox-pack@claude-code-plugins-plus
Click to copy
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.