Case Study E-commerce Peak Traffic Scaling
Online commerce platform | Timeline: 8 weeks
Problem
Seasonal traffic spikes caused outages and expensive emergency scaling.
Approach
- Built autoscaling policies based on real workload behavior
- Hardened observability and alerting for peak events
- Optimized caching and traffic routing
Results
- Peak event stability improved with no critical downtime
- Response latency reduced during heavy traffic windows
- Cloud cost volatility reduced with better scaling policy
Peak Stability: No critical outages Latency Improvement: -38% Scaling Efficiency: +31% Before → After
Concurrent Users
15k crash point
100k+
Uptime
Crashed on peaks
100%
Page Load Time
8s average
65% faster
Revenue Increase
$2M lost to outage
40%
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