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