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Cloud E-commerce

Scalable E-commerce Infrastructure on AWS

How we re-architected a fast-growing retailer's e-commerce platform on AWS to handle 10x peak traffic spikes, eliminate downtime, and cut infrastructure costs by 55%.

10xPeak Traffic
55%Infra Cost Cut
0Downtime Events
<200ms< /span>Global Response

The Challenge

A rapidly growing direct-to-consumer retail brand was experiencing repeated platform outages during key sales events. Black Friday 2024 saw their website fail completely for 4 hours, costing an estimated $1.2M in lost sales and significant brand damage.

Their monolithic e-commerce platform ran on a single oversized EC2 instance — no auto-scaling, no CDN, no resilience. Traffic spikes of 8-10x normal load during promotions consistently overwhelmed the stack. The business needed a rebuild that could handle any volume while reducing the monthly cloud bill.

Our Approach

1

Current-State Assessment

Conducted a full performance and architecture audit. Load tested the existing stack to establish baselines. Identified the database, session management, and static asset delivery as primary bottlenecks.

2

Containerisation with ECS

Re-architected the application into microservices. Containerised using Docker and deployed on Amazon ECS with Fargate for serverless compute — eliminating the need to manage EC2 instances.

3

Database Modernisation

Migrated from a single RDS instance to Multi-AZ RDS with read replicas. Implemented ElastiCache (Redis) for session storage and product catalogue caching, reducing DB load by 70%.

4

CDN & Global Performance

Deployed CloudFront with edge caching for all static assets and product images. Origin Shield reduced origin load by 85% during peak events. Global response times dropped to under 200ms.

5

Auto-scaling & Load Balancing

Configured ECS Service Auto Scaling policies triggered by custom CloudWatch metrics. ALB distributes load across containers. Stress-tested to 12x normal load with zero degradation before launch.

The Results

The re-architected platform sailed through the following holiday season — handling 10x normal traffic without a single incident. Infrastructure costs fell dramatically due to right-sizing and serverless compute.

  • Platform handled 10x normal traffic during peak events with zero downtime
  • Infrastructure costs reduced by 55% through right-sizing and Fargate adoption
  • Global page load time improved from 4.2 seconds to under 200ms
  • Database query time reduced 70% through caching and read replica routing
  • Zero unplanned outages in the 12 months following the re-architecture

“Last Black Friday was our best ever — not a single support ticket about the website. RevOps Agentic built something we can scale our business on for years.”

— CTO, Direct-to-Consumer Retail Brand

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