ITCan Technologies (UAE)
From Crashes to Confidence: 100x E-Commerce Scalability
How we migrated an e-commerce platform from Kinsta to AWS, eliminating crashes and achieving 100x capacity increase while reducing costs.
Quick Facts
The Scalability Crisis: Crashes at 300 Users
ITCan Technologies operated a growing e-commerce business in the UAE. Success brought a critical problem: their infrastructure couldn't keep up with growth.
The Breaking Point
The site was hosted on Kinsta—a managed WordPress hosting platform. As traffic grew, the cracks appeared:
- Scalability Ceiling: System crashed at only 300 concurrent users
- Lost Revenue: Every crash meant lost sales and frustrated customers
- Business Constraint: Marketing campaigns had to be limited to avoid crashes
- Growth Blocker: Couldn't scale the business without solving infrastructure
Real Business Impact
- • Peak shopping periods → crashes → lost revenue
- • Marketing campaigns → traffic spikes → crashes → wasted ad spend
- • Customer trust eroded by unreliable shopping experience
AWS Auto-Scaling Architecture: Built for Growth
We migrated ITCan Technologies to AWS cloud infrastructure with comprehensive auto-scaling, CDN, and load balancing—designed to handle traffic spikes automatically.
Recommendation: Migrate to AWS (Not Fix Kinsta)
After analysis, we recommended AWS migration because: auto-scaling handles unpredictable traffic, pay-as-you-go aligns costs with revenue, and it's future-proof for millions of users.
Multi-AZ Auto-Scaling
EC2 Auto-Scaling Groups
- Multi-AZ for high availability
- Auto add/remove servers based on traffic
- Health checks auto-replace failures
Application Load Balancer
Elastic Load Balancing
- Traffic distributed across servers
- SSL/TLS termination
- Seamless failover
CloudFront CDN
Global Content Delivery
- 50-70% reduced origin load
- Faster global page loads
- Lower bandwidth costs
Database Optimization
Amazon RDS
- Read replicas for performance
- Multi-AZ failover
- Automated backups
Zero-Downtime Migration Strategy
The migration was completed in 8 weeks through a systematic, phased approach:
Key Phases:
Architecture Design & Planning
Analyzed current architecture, designed AWS auto-scaling solution, capacity planning, and ROI analysis
AWS Infrastructure Setup
VPC configuration, Auto-Scaling Groups, Application Load Balancer, CloudFront CDN, and database migration
Application Migration & Testing
Code migration, load testing (1,000+ concurrent users), performance optimization
Production Cutover
Gradual traffic migration with real-time monitoring and validation
Optimization & Handoff
Auto-scaling policy tuning, cost optimization, and team training
Deliverable: Fully optimized, auto-scaling AWS infrastructure with complete knowledge transfer
100x Scalability with Cost Reduction
The results were immediate and transformative for ITCan Technologies' business.
| Metric | Before (Kinsta) | After (AWS) |
|---|---|---|
| Concurrent Users | 300 (crashes) | 30,000+ |
| Uptime | Frequent crashes | 99.9% |
| Cost Model | Fixed (high baseline) | Pay-as-you-go |
| Scalability | Manual upgrades | Auto-scaling |
| Deployment | Manual, risky | Zero-downtime |
"Few of the best deployment experts... exceptional knowledge and troubleshooting ability in achieving critical milestone efficiently."
— ITCan Technologies Team
How Auto-Scaling Works in Practice
Let's walk through a real scenario: Black Friday traffic spike.
200 concurrent users • 2 instances • $0.20/hour
1,000 concurrent users • Auto-scales to 6 instances • $0.60/hour
5,000 concurrent users • Auto-scales to 16 instances • $1.60/hour
800 concurrent users • Scales down to 6 instances • $0.60/hour
200 concurrent users • 2 instances • $0.20/hour
Key Insight
Infrastructure cost during Black Friday: $12-15
Revenue protected by not crashing: $50K-100K+
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