glean-observability

'Track: documents indexed per run (total + new + updated + deleted),

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glean-pack

Claude Code skill pack for Glean (24 skills)

saas packs v1.0.0
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Installation

This skill is included in the glean-pack plugin:

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

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Instructions

Glean Observability

Overview

Glean aggregates enterprise knowledge across dozens of connectors, making indexing health and search quality the two pillars of observability. Monitor connector sync status to catch stale content before users notice, track search latency to maintain sub-second responses, and measure zero-result rates to identify coverage gaps. Degraded indexing silently erodes search relevance, so proactive alerting is essential.

Key Metrics

Metric Type Target Alert Threshold
Search latency p95 Histogram < 400ms > 1s
Zero-result query rate Gauge < 5% > 10%
Documents indexed per run Counter Stable +/-5% Drop > 20%
Connector sync errors Counter 0 > 3 per hour
Stale content ratio Gauge < 10% > 25% (>30 days old)
Indexing throughput Gauge > 1000 docs/min < 500 docs/min

Instrumentation


async function trackGleanSearch(query: string, client: GleanClient) {
  const start = Date.now();
  try {
    const results = await client.search({ query });
    const latency = Date.now() - start;
    metrics.histogram('glean.search.latency', latency);
    metrics.increment('glean.search.total');
    if (results.totalCount === 0) metrics.increment('glean.search.zero_results');
    return results;
  } catch (err) {
    metrics.increment('glean.search.errors', { error: err.code });
    throw err;
  }
}

Health Check Dashboard


async function gleanHealth(): Promise<Record<string, string>> {
  const connectors = await gleanAdmin.getConnectorStatus();
  const staleRatio = await gleanAdmin.getStaleContentRatio(30);
  const searchP95 = await metrics.query('glean.search.latency', 'p95', '5m');
  return {
    connectors: connectors.every(c => c.status === 'ok') ? 'healthy' : 'degraded',
    content_freshness: staleRatio < 0.1 ? 'healthy' : 'stale',
    search_latency: searchP95 < 400 ? 'healthy' : 'slow',
  };
}

Alerting Rules


const alerts = [
  { metric: 'glean.search.latency_p95', condition: '> 1000ms', window: '10m', severity: 'warning' },
  { metric: 'glean.search.zero_result_rate', condition: '> 0.10', window: '1h', severity: 'warning' },
  { metric: 'glean.indexing.sync_errors', condition: '> 3', window: '1h', severity: 'critical' },
  { metric: 'glean.indexing.doc_count_delta', condition: 'drop > 20%', window: '1d', severity: 'critical' },
];

Structured Logging


function logGleanEvent(event: string, data: Record<string, any>) {
  console.log(JSON.stringify({
    service: 'glean', event,
    connector: data.connector, doc_count: data.docCount,
    query: data.query ? data.query.substring(0, 100) : undefined,
    latency_ms: data.latency, result_count: data.resultCount,
    timestamp: new Date().toISOString(),
  }));
}

Error Handling

Signal Meaning Action
Connector sync failure Source API down or creds expired Check connector config, rotate tokens
Zero-result spike Missing content or bad query parsing Audit indexed sources, check synonyms
Indexing doc count drop Source deletion or API pagination bug Compare source counts, review API logs
Search latency > 1s Overloaded cluster or complex queries Check Glean status page, review query patterns

Resources

Next Steps

See glean-incident-runbook.

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