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glean-observability

glean-observability

Track: documents indexed per run (total + new + updated + deleted), indexing errors and retries, search API latency, zero-result query rate, stale content age distribution. Trigger: "glean observability", "observability".

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

name: glean-observability description: 'Track: documents indexed per run (total + new + updated + deleted), indexing errors and retries, search API latency, zero-result query rate, stale content age distribution.

Trigger: "glean observability", "observability".

' allowed-tools: Read, Write, Edit, Bash(npm:), Bash(curl:), Grep version: 1.8.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io tags:

  • saas
  • enterprise-search
  • glean compatibility: Designed for Claude Code

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

MetricTypeTargetAlert Threshold
Search latency p95Histogram< 400ms> 1s
Zero-result query rateGauge< 5%> 10%
Documents indexed per runCounterStable +/-5%Drop > 20%
Connector sync errorsCounter0> 3 per hour
Stale content ratioGauge< 10%> 25% (>30 days old)
Indexing throughputGauge> 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

SignalMeaningAction
Connector sync failureSource API down or creds expiredCheck connector config, rotate tokens
Zero-result spikeMissing content or bad query parsingAudit indexed sources, check synonyms
Indexing doc count dropSource deletion or API pagination bugCompare source counts, review API logs
Search latency > 1sOverloaded cluster or complex queriesCheck Glean status page, review query patterns

Prerequisites

  • A data-minimization policy for logs and traces, metric owners, alert routes, retention limits, and an approved restricted evidence destination.
  • Synthetic probes for availability, freshness, and both authorized and denied access outcomes.
  • Correlation IDs and configuration revisions that let responders connect signals without logging query text, titles, snippets, identities, or credentials.

Instructions

  1. Instrument aggregate request, error, latency, freshness, queue, and ACL-probe metrics at the connector and datasource boundary.
  2. Redact event fields before export, bound payload capture, and validate that a failed redaction fails closed.
  3. Alert on sustained failures, freshness regression, access-boundary difference, and evidence-pipeline failure with an owner and response runbook.
  4. Test alerts with synthetic events, verify the destination/retention policy, and remove test data after the exercise.
  5. Review dashboards after every connector or ACL change and retain only the minimum receipt needed for incident reconstruction.

Output

Produce an observability receipt containing dashboard revision, metric/alert IDs, synthetic test results, owner, destination, retention, correlation ID, and remediation/rollback status. Raw source content and credentials are prohibited.

Examples

dashboard=search-r11; alert=freshness-lag; probe=pass; allow=pass; deny=pass; destination=restricted-ops; retention=14d; rollback=alert-r10 is a safe alert-test result.

Resources

Next Steps

See glean-incident-runbook.

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