CLOUD MIGRATION

AWS Migration Strategy: From On-Premise to Cloud-Native

Published on December 10, 2024
12 minute read
1,847 views

Abstract

A comprehensive guide to migrating critical supply chain applications to AWS while maintaining 99.9% uptime and achieving $72,000 in annual cost savings with 40% performance improvements.

The Migration Challenge

Our supply chain management system was hosted entirely on-premise with aging hardware, limited scalability, and increasing maintenance costs. The goal was clear: migrate to AWS while maintaining 99.9% uptime and improving system performance.

$180K
Annual On-Premise Costs
$108K
Projected AWS Costs
18mo
ROI Timeline

Migration Strategy: The 6 R's Framework

1. Rehost ("Lift and Shift")

Target: Non-critical applications • Timeline: Weeks 1-2

# EC2 instance configuration for rehosted applications
resource "aws_instance" "legacy_app" {
  ami           = "ami-0c02fb55956c7d316"
  instance_type = "t3.large"
  
  tags = {
    Name = "Legacy-ERP-Rehost"
    Environment = "Production"
  }
}

2. Replatform ("Lift, Tinker, and Shift")

Target: SQL Server databases • Service: Amazon RDS

-- Database migration validation query
SELECT 
    COUNT(*) as total_records,
    MAX(modified_date) as last_update,
    DB_NAME() as database_name
FROM inventory_master;

Implementation Timeline

Phase 1: Foundation (Weeks 1-2)

  • ✅ VPC setup and network configuration
  • ✅ Identity and access management (IAM)
  • ✅ Direct Connect establishment
  • ✅ Backup and disaster recovery setup

Phase 2: Data Migration (Weeks 3-4)

  • ✅ Database migration using AWS DMS
  • ✅ File system migration to EFS/S3
  • ✅ Application data validation

Phase 3: Application Migration (Weeks 5-8)

  • ✅ Rehost legacy applications
  • ✅ Replatform databases to RDS
  • ✅ Load balancer and auto-scaling setup

Results and Achievements

40%
Faster Response Times
99.95%
Uptime Achieved
$72K
Annual Savings

Scalability Benefits

  • Auto-scaling handles traffic spikes (Black Friday, peak seasons)
  • Database read replicas improved reporting performance by 300%
  • Global expansion capability (multi-region deployment ready)

Lessons Learned

What Worked Well

  • ✅ Comprehensive 6-week planning phase
  • ✅ Staged migration minimized risks
  • ✅ Staff AWS certification program
  • ✅ AWS Professional Services guidance

Challenges Overcome

  • ⚠️ Legacy app dependencies (hardcoded IPs)
  • ⚠️ Data consistency during migration
  • ⚠️ User acceptance of new interfaces

Security Enhancements

Multi-Layered Security Approach

Network Security

  • • VPC with private subnets
  • • Security Groups & NACLs
  • • AWS WAF protection

Data Protection

  • • KMS encryption at rest
  • • CloudTrail audit logging
  • • GuardDuty threat detection

Cost Optimization Strategies

Reserved Instances Strategy

# Script to analyze RI opportunities
aws ec2 describe-instances --query 'Reservations[*].Instances[*].[InstanceType,State.Name]' --output table

Savings Achieved:

  • 35% savings through 3-year Reserved Instances
  • 20% additional savings with Spot Instances for development
  • 15% reduction through rightsizing recommendations

Future Roadmap

Planned Enhancements

  • 🚀 Serverless Migration: Moving to Lambda and API Gateway
  • 🤖 AI/ML Integration: Demand forecasting with SageMaker
  • 🌍 Multi-Region Setup: Disaster recovery and global expansion
  • 📦 Container Orchestration: EKS for microservices architecture

Essential AWS Services Used

Compute

  • • EC2 instances
  • • Lambda functions
  • • Auto Scaling groups

Storage

  • • S3 buckets
  • • EBS volumes
  • • EFS file systems

Database

  • • RDS SQL Server
  • • DynamoDB
  • • ElastiCache

Fernando McKenzie

IT Operations Specialist with expertise in cloud migrations and supply chain technology.