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juicebox-observability【效率与协作】Set up Juicebox monitoring. Trigger: "juicebox monitoring", "juicebox metrics".
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name: juicebox-observability description: 'Set up Juicebox monitoring.
Trigger: "juicebox monitoring", "juicebox metrics".
' allowed-tools: Read, Write, Edit, Grep version: 1.16.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io tags:
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.
| 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% |
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;
}
}
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',
};
}
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' },
];
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(),
}));
}
| 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 |
contacts_exported=0, then compare it with the approved baseline.Produce an observability receipt with environment, event classes, aggregate volume/error/latency signals, redaction/suppression/no-export outcomes, alert owner, retention/deletion proof, and rollback reference.
env=ci-synthetic; events=aggregate-only; latency_p95=within-baseline; suppression=pass; contacts_exported=0; retention=24h; cleanup=verified is a valid canary record.
See juicebox-incident-runbook.