glean-migration-deep-dive

Execute Glean major re-architecture and migration strategies with strangler fig pattern. Use when migrating to or from Glean, performing major version upgrades, or re-platforming existing integrations to Glean. Trigger with phrases like "migrate glean", "glean migration", "switch to glean", "glean replatform", "glean upgrade major".

claude-code
6 Tools
glean-pack Plugin
saas packs Category

Allowed Tools

ReadWriteEditBash(npm:*)Bash(node:*)Bash(kubectl:*)

Provided by Plugin

glean-pack

Claude Code skill pack for Glean (24 skills)

saas packs v1.0.0
View Plugin

Installation

This skill is included in the glean-pack plugin:

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

Click to copy

Instructions

Glean Migration Deep Dive

Overview

Comprehensive guide for migrating to or from Glean, or major version upgrades.

Prerequisites

  • Current system documentation
  • Glean SDK installed
  • Feature flag infrastructure
  • Rollback strategy tested

Migration Types

Type Complexity Duration Risk
Fresh install Low Days Low
From competitor Medium Weeks Medium
Major version Medium Weeks Medium
Full replatform High Months High

Pre-Migration Assessment

Step 1: Current State Analysis


# Document current implementation
find . -name "*.ts" -o -name "*.py" | xargs grep -l "glean" > glean-files.txt

# Count integration points
wc -l glean-files.txt

# Identify dependencies
npm list | grep glean
pip freeze | grep glean

Step 2: Data Inventory


interface MigrationInventory {
  dataTypes: string[];
  recordCounts: Record<string, number>;
  dependencies: string[];
  integrationPoints: string[];
  customizations: string[];
}

async function assessGleanMigration(): Promise<MigrationInventory> {
  return {
    dataTypes: await getDataTypes(),
    recordCounts: await getRecordCounts(),
    dependencies: await analyzeDependencies(),
    integrationPoints: await findIntegrationPoints(),
    customizations: await documentCustomizations(),
  };
}

Migration Strategy: Strangler Fig Pattern


Phase 1: Parallel Run
┌─────────────┐     ┌─────────────┐
│   Old       │     │   New       │
│   System    │ ──▶ │  Glean   │
│   (100%)    │     │   (0%)      │
└─────────────┘     └─────────────┘

Phase 2: Gradual Shift
┌─────────────┐     ┌─────────────┐
│   Old       │     │   New       │
│   (50%)     │ ──▶ │   (50%)     │
└─────────────┘     └─────────────┘

Phase 3: Complete
┌─────────────┐     ┌─────────────┐
│   Old       │     │   New       │
│   (0%)      │ ──▶ │   (100%)    │
└─────────────┘     └─────────────┘

Implementation Plan

Phase 1: Setup (Week 1-2)


# Install Glean SDK
npm install @glean/sdk

# Configure credentials
cp .env.example .env.glean
# Edit with new credentials

# Verify connectivity
node -e "require('@glean/sdk').ping()"

Phase 2: Adapter Layer (Week 3-4)


// src/adapters/glean.ts
interface ServiceAdapter {
  create(data: CreateInput): Promise<Resource>;
  read(id: string): Promise<Resource>;
  update(id: string, data: UpdateInput): Promise<Resource>;
  delete(id: string): Promise<void>;
}

class GleanAdapter implements ServiceAdapter {
  async create(data: CreateInput): Promise<Resource> {
    const gleanData = this.transform(data);
    return gleanClient.create(gleanData);
  }

  private transform(data: CreateInput): GleanInput {
    // Map from old format to Glean format
  }
}

Phase 3: Data Migration (Week 5-6)


async function migrateGleanData(): Promise<MigrationResult> {
  const batchSize = 100;
  let processed = 0;
  let errors: MigrationError[] = [];

  for await (const batch of oldSystem.iterateBatches(batchSize)) {
    try {
      const transformed = batch.map(transform);
      await gleanClient.batchCreate(transformed);
      processed += batch.length;
    } catch (error) {
      errors.push({ batch, error });
    }

    // Progress update
    console.log(`Migrated ${processed} records`);
  }

  return { processed, errors };
}

Phase 4: Traffic Shift (Week 7-8)


// Feature flag controlled traffic split
function getServiceAdapter(): ServiceAdapter {
  const gleanPercentage = getFeatureFlag('glean_migration_percentage');

  if (Math.random() * 100 < gleanPercentage) {
    return new GleanAdapter();
  }

  return new LegacyAdapter();
}

Rollback Plan


# Immediate rollback
kubectl set env deployment/app GLEAN_ENABLED=false
kubectl rollout restart deployment/app

# Data rollback (if needed)
./scripts/restore-from-backup.sh --date YYYY-MM-DD

# Verify rollback
curl https://app.yourcompany.com/health | jq '.services.glean'

Post-Migration Validation


async function validateGleanMigration(): Promise<ValidationReport> {
  const checks = [
    { name: 'Data count match', fn: checkDataCounts },
    { name: 'API functionality', fn: checkApiFunctionality },
    { name: 'Performance baseline', fn: checkPerformance },
    { name: 'Error rates', fn: checkErrorRates },
  ];

  const results = await Promise.all(
    checks.map(async c => ({ name: c.name, result: await c.fn() }))
  );

  return { checks: results, passed: results.every(r => r.result.success) };
}

Instructions

Step 1: Assess Current State

Document existing implementation and data inventory.

Step 2: Build Adapter Layer

Create abstraction layer for gradual migration.

Step 3: Migrate Data

Run batch data migration with error handling.

Step 4: Shift Traffic

Gradually route traffic to new Glean integration.

Output

  • Migration assessment complete
  • Adapter layer implemented
  • Data migrated successfully
  • Traffic fully shifted to Glean

Error Handling

Issue Cause Solution
Data mismatch Transform errors Validate transform logic
Performance drop No caching Add caching layer
Rollback triggered Errors spiked Reduce traffic percentage
Validation failed Missing data Check batch processing

Examples

Quick Migration Status


const status = await validateGleanMigration();
console.log(`Migration ${status.passed ? 'PASSED' : 'FAILED'}`);
status.checks.forEach(c => console.log(`  ${c.name}: ${c.result.success}`));

Resources

Flagship+ Skills

For advanced troubleshooting, see glean-advanced-troubleshooting.

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