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jeremylongshore

posthog-migration-deep-dive

by jeremylongshore

Hundreds of Claude Code plugins with embedded AI skills. Learn via interactive Jupyter tutorials.

1,042🍴 135📅 Jan 23, 2026

SKILL.md


name: posthog-migration-deep-dive description: | Execute PostHog major re-architecture and migration strategies with strangler fig pattern. Use when migrating to or from PostHog, performing major version upgrades, or re-platforming existing integrations to PostHog. Trigger with phrases like "migrate posthog", "posthog migration", "switch to posthog", "posthog replatform", "posthog upgrade major". allowed-tools: Read, Write, Edit, Bash(npm:), Bash(node:), Bash(kubectl:*) version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io

PostHog Migration Deep Dive

Overview

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

Prerequisites

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

Migration Types

TypeComplexityDurationRisk
Fresh installLowDaysLow
From competitorMediumWeeksMedium
Major versionMediumWeeksMedium
Full replatformHighMonthsHigh

Pre-Migration Assessment

Step 1: Current State Analysis

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

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

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

Step 2: Data Inventory

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

async function assessPostHogMigration(): 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    │ ──▶ │  PostHog   │
│   (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 PostHog SDK
npm install @posthog/sdk

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

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

Phase 2: Adapter Layer (Week 3-4)

// src/adapters/posthog.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 PostHogAdapter implements ServiceAdapter {
  async create(data: CreateInput): Promise<Resource> {
    const posthogData = this.transform(data);
    return posthogClient.create(posthogData);
  }

  private transform(data: CreateInput): PostHogInput {
    // Map from old format to PostHog format
  }
}

Phase 3: Data Migration (Week 5-6)

async function migratePostHogData(): 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 posthogClient.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 posthogPercentage = getFeatureFlag('posthog_migration_percentage');

  if (Math.random() * 100 < posthogPercentage) {
    return new PostHogAdapter();
  }

  return new LegacyAdapter();
}

Rollback Plan

# Immediate rollback
kubectl set env deployment/app POSTHOG_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.posthog'

Post-Migration Validation

async function validatePostHogMigration(): 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 PostHog integration.

Output

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

Error Handling

IssueCauseSolution
Data mismatchTransform errorsValidate transform logic
Performance dropNo cachingAdd caching layer
Rollback triggeredErrors spikedReduce traffic percentage
Validation failedMissing dataCheck batch processing

Examples

Quick Migration Status

const status = await validatePostHogMigration();
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 posthog-advanced-troubleshooting.

Score

Total Score

85/100

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