glean-deploy-integration

name	glean-deploy-integration
description	Deploy Glean custom connectors as scheduled jobs on Cloud Run, Lambda, or Fly.io. Trigger: "deploy glean connector", "glean connector hosting", "schedule glean indexing".
allowed-tools	Read, Write, Edit, Bash(npm:*), Bash(gcloud:*), Grep
version	1.8.0
license	MIT
author	Jeremy Longshore <[e-mail]>
tags	["saas","enterprise-search","glean"]
compatibility	Designed for Claude Code

Glean Deploy Integration

Overview

Deploy a containerized Glean enterprise search integration service with Docker. This skill covers building a production image that connects to Glean's Indexing and Search APIs for managing document ingestion, custom datasource connectors, and search queries. Includes environment configuration for multi-datasource indexing, health checks that verify API connectivity and indexing status, and rolling update strategies that avoid interrupting active indexing jobs.

Docker Configuration

FROM node:20-slim AS builder
WORKDIR /app
COPY package*.json ./
RUN npm ci
COPY tsconfig.json ./
COPY src/ ./src/
RUN npm run build

FROM node:20-slim
RUN addgroup --system app && adduser --system --ingroup app app
WORKDIR /app
COPY --from=builder /app/dist ./dist
COPY --from=builder /app/node_modules ./node_modules
COPY package*.json ./
USER app
EXPOSE 3000
HEALTHCHECK --interval=30s --timeout=5s --retries=3 \
  CMD curl -f http://localhost:3000/health || exit 1
CMD ["node", "dist/index.js"]

Environment Variables

export GLEAN_API_KEY="glean_xxxxxxxxxxxx"
export GLEAN_BASE_URL="https://company-be.glean.com/api/index/v1"
export GLEAN_DATASOURCE="custom-wiki"
export GLEAN_DOMAIN="company-be.glean.com"
export LOG_LEVEL="info"
export PORT="3000"
export NODE_ENV="production"

Health Check Endpoint

import express from 'express';

const app = express();

app.get('/health', async (req, res) => {
  try {
    const response = await fetch(`https://${process.env.GLEAN_DOMAIN}/api/index/v1/getdatasourceconfig`, {
      method: 'POST',
      headers: {
        'Authorization': `Bearer ${process.env.GLEAN_API_KEY}`,
        'Content-Type': 'application/json',
      },
      body: JSON.stringify({ datasource: process.env.GLEAN_DATASOURCE }),
    });
    if (!response.ok) throw new Error(`Glean API returned ${response.status}`);
    res.json({ status: 'healthy', service: 'glean-integration', datasource: process.env.GLEAN_DATASOURCE, timestamp: new Date().toISOString() });
  } catch (error) {
    res.status(503).({ : , : (error  ). });
  }
});

Deployment Steps

Step 1: Build

docker build -t glean-integration:latest .

Step 2: Run

docker run -d --name glean-integration \
  -p 3000:3000 \
  -e GLEAN_API_KEY -e GLEAN_BASE_URL -e GLEAN_DATASOURCE -e GLEAN_DOMAIN \
  glean-integration:latest

Step 3: Verify

curl -s http://localhost:3000/health | jq .

Step 4: Rolling Update

docker build -t glean-integration:v2 . && \
docker stop glean-integration && \
docker rm glean-integration && \
docker run -d --name glean-integration -p 3000:3000 \
  -e GLEAN_API_KEY -e GLEAN_BASE_URL -e GLEAN_DATASOURCE -e GLEAN_DOMAIN \
  glean-integration:v2

Error Handling

Issue	Cause	Fix
401 Unauthorized	Invalid indexing token	Regenerate token in Glean admin under Custom Connectors
403 Forbidden	Datasource not registered	Create datasource in Glean admin before indexing
400 Bad Request	Malformed document payload	Validate document schema against Glean Indexing API spec
429 Rate Limited	Exceeding indexing rate limits	Batch documents (max 100 per request) and add backoff
Stale search results	Connector not running on schedule	Verify cron schedule or Cloud Scheduler job status

Resources

• Glean Indexing API
• Glean Search API

Next Steps

See glean-webhooks-events.