CASE_STUDY::E_COMMERCE_RETAIL

Retail Peak-Traffic Resilience Engineering

Monolithic PHP application running on 4 physical serversMySQL database with no read replicas or cachingNo auto-scaling or load balancing

PRIMARY_OUTCOMES

Uptime Achievement
99.99%
↑
Revenue Recovery
$8.5M
↑
Peak Traffic Handling
15x capacity
↑
MTTR Reduction
2 hours → 8 minutes
↑
OVERVIEW

The Challenge

A leading regional e-commerce retailer with 500+ stores and $200M annual online revenue was facing catastrophic outages during peak shopping events. During Ramadan 2024, the platform crashed 3 times, resulting in $3.2M lost revenue. During White Friday 2024, a 6-hour outage cost $5.3M and damaged brand reputation. The root cause: a monolithic architecture that couldn't scale, no load testing, and zero observability. With Ramadan 2025 approaching, the CEO demanded a solution.

Technical Debt

  • Monolithic PHP application running on 4 physical servers
  • MySQL database with no read replicas or caching
  • No auto-scaling or load balancing
  • No observability: debugging required SSH into production servers
  • No load testing: peak traffic capacity unknown until events

Business Impact

  • $8.5M lost revenue from outages during Ramadan and White Friday 2024
  • Customer churn: 15% of customers switched to competitors after outages
  • Brand damage: Negative social media coverage and customer complaints
  • Operational chaos: Engineering team in firefighting mode during events
  • CEO ultimatum: Fix it or face consequences

Constraints

  • 3-month deadline: Ramadan 2025 was 12 weeks away
  • Budget limit: $500K for infrastructure and engineering
  • No downtime: Migration must happen without disrupting operations
  • Limited team: 8 engineers, no prior cloud or microservices experience
  • Legacy codebase: 200K lines of PHP with no tests
ENGAGEMENT PHASES

How We Delivered

01

Emergency Stabilization

Deployed observability stack (Prometheus, Grafana, Jaeger), identified top 5 bottlenecks (database queries, image processing, checkout flow), and implemented tactical fixes (caching, CDN, database optimization). Reduced baseline latency by 60%.

2 weeks
02

Cloud Migration

Migrated to AWS with auto-scaling, load balancing, and managed databases (RDS with read replicas). Implemented CDN (CloudFront) for static assets. Deployed blue-green deployment for zero-downtime releases.

4 weeks
03

Load Testing & Optimization

Conducted load testing simulating 150K concurrent users. Identified and fixed bottlenecks (connection pooling, async processing, database indexes). Achieved 15x capacity increase.

3 weeks
04

Peak Event Preparation

Established war room for Ramadan, deployed chaos engineering tests, created runbooks for common issues, and trained team on incident response. Monitored platform 24/7 during Ramadan with zero incidents.

3 weeks
CAPABILITIES

Capabilities Delivered

Auto-Scaling

Kubernetes-based auto-scaling handling 15x traffic spikes without manual intervention

Performance Optimization

CDN, caching, database optimization, and async processing reducing latency by 70%

Observability

Real-time monitoring, alerting, and distributed tracing enabling 8-minute MTTR

Resilience Patterns

Circuit breakers, retries, timeouts, and graceful degradation preventing cascading failures

Load Testing

Continuous load testing validating platform capacity before every peak event

Incident Response

Runbooks, war room procedures, and trained team enabling rapid incident resolution

RELATED CASE STUDIES

Related Case Studies

RELIABILITYSRE

Stabilization & Reliability Turnaround

Reducing MTTR from 4 hours to 12 minutes through observability and automation

CLOUDMIGRATION

GCC Sovereign Cloud Transformation

Migrating mission-critical services to sovereign cloud with 100% uptime

Facing Peak Traffic

We've helped retailers, e-commerce platforms, and high-traffic services across the GCC achieve resilience during peak events. Let's discuss how we can eliminate your outages and recover lost revenue.

Retail Peak-Traffic Resilience Case Study | Neurasal | Neurasal