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E-Commerce

Auto-Scaled E-Commerce Platform for 10x Traffic Surge

2 weeks
2 engineers
D2C Fashion Brand
KubernetesGKERedisCloudflarePrometheus
50K
Peak RPS Handled
45 sec
Scale-up Time
-62%
Cart Abandonment
+340%
Revenue per Sale
Flash Sale Performance
Metric
Before
After
Peak RPS
5K (crash)
50K 10x capacity
Scale-Up
Manual (10 min)
Auto (45 sec) 13x faster
Cart Abandon
89%
27% -62 pts
Revenue/Sale
Baseline
+340% Growth
E-commerce dynamic auto-scaling architectureE-commerce dynamic auto-scaling architecture
Flash Sale Architecture — 50K RPS with 45-Second Scale-Up

The Challenge

E-commerce platform crashed during every flash sale. Traffic spiked 10x within 2 minutes and manual scaling couldn't keep up.

✗Site crashed at 5K RPS during previous 3 flash sales
✗Cart abandonment hit 89% due to latency spikes
✗Database connection pool exhausted within 30 seconds of sale start
✗CDN cache miss rate of 70% on product images

Our Solution

Implemented predictive auto-scaling with custom Prometheus metrics, Redis session/cart caching, Cloudflare edge rules, and pre-warming runbooks for known sale events.

Configured Kubernetes HPA with custom request-latency metrics
Deployed Redis cluster for session and cart state caching
Set up Cloudflare page rules and edge caching for product pages
Created pre-warming script that scales pods 15 min before sales
Implemented connection pooling with PgBouncer
Results & Impact

Three consecutive flash sales with zero downtime. Revenue up 340% per event.

Project Timeline

Day 1-2
Load testing baseline — identified bottlenecks at 5K RPS
Day 3-5
Redis caching layer + PgBouncer connection pooling
Day 6-8
Custom HPA metrics + Cloudflare edge caching
Day 9-10
Pre-warming runbook + load test at 60K RPS
Day 11-14
Live flash sale — 50K RPS, zero downtime
C

"Our site crashed every sale event. CloudLink made us handle 10x traffic without breaking a sweat."

CTO
D2C Fashion Brand

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