procore-migration-deep-dive

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

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

Allowed Tools

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

Provided by Plugin

procore-pack

Claude Code skill pack for Procore (24 skills)

saas packs v1.0.0
View Plugin

Installation

This skill is included in the procore-pack plugin:

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

Click to copy

Instructions

Procore Migration Deep Dive

Overview

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

Prerequisites

  • Current system documentation
  • Procore 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 "procore" > procore-files.txt

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

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

Step 2: Data Inventory


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

async function assessProcoreMigration(): 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    │ ──▶ │  Procore   │
│   (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 Procore SDK
npm install @procore/sdk

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

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

Phase 2: Adapter Layer (Week 3-4)


// src/adapters/procore.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 ProcoreAdapter implements ServiceAdapter {
  async create(data: CreateInput): Promise<Resource> {
    const procoreData = this.transform(data);
    return procoreClient.create(procoreData);
  }

  private transform(data: CreateInput): ProcoreInput {
    // Map from old format to Procore format
  }
}

Phase 3: Data Migration (Week 5-6)


async function migrateProcoreData(): 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 procoreClient.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 procorePercentage = getFeatureFlag('procore_migration_percentage');

  if (Math.random() * 100 < procorePercentage) {
    return new ProcoreAdapter();
  }

  return new LegacyAdapter();
}

Rollback Plan


# Immediate rollback
kubectl set env deployment/app PROCORE_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.procore'

Post-Migration Validation


async function validateProcoreMigration(): 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 Procore integration.

Output

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

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 validateProcoreMigration();
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 procore-advanced-troubleshooting.

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