ramp-migration-deep-dive

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

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

Allowed Tools

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

Provided by Plugin

ramp-pack

Claude Code skill pack for Ramp (24 skills)

saas packs v1.0.0
View Plugin

Installation

This skill is included in the ramp-pack plugin:

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

Click to copy

Instructions

Ramp Migration Deep Dive

Overview

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

Prerequisites

  • Current system documentation
  • Ramp 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 "ramp" > ramp-files.txt

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

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

Step 2: Data Inventory


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

async function assessRampMigration(): 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    │ ──▶ │  Ramp   │
│   (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 Ramp SDK
npm install @ramp/sdk

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

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

Phase 2: Adapter Layer (Week 3-4)


// src/adapters/ramp.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 RampAdapter implements ServiceAdapter {
  async create(data: CreateInput): Promise<Resource> {
    const rampData = this.transform(data);
    return rampClient.create(rampData);
  }

  private transform(data: CreateInput): RampInput {
    // Map from old format to Ramp format
  }
}

Phase 3: Data Migration (Week 5-6)


async function migrateRampData(): 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 rampClient.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 rampPercentage = getFeatureFlag('ramp_migration_percentage');

  if (Math.random() * 100 < rampPercentage) {
    return new RampAdapter();
  }

  return new LegacyAdapter();
}

Rollback Plan


# Immediate rollback
kubectl set env deployment/app RAMP_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.ramp'

Post-Migration Validation


async function validateRampMigration(): 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 Ramp integration.

Output

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

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 validateRampMigration();
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 ramp-advanced-troubleshooting.

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