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Retail

Migrating a Legacy E-Commerce Platform to AWS Microservices

Retail

99.99%
Platform Uptime
65%
Infrastructure Cost Reduction
3x faster
Page Load Performance
The Challenge

What They Were Facing

ShopStream's monolithic e-commerce platform was buckling under peak-season traffic, suffering frequent outages during flash sales and Black Friday events. The single Java application running on co-located servers could not scale horizontally, and deployments required full system downtime — resulting in an estimated $2.4M in lost revenue per year from availability issues alone.

Challenge context
The Solution

How We Solved It

AQBEE architected a complete migration to AWS, decomposing the monolith into 22 independently deployable microservices running on AWS Lambda and ECS Fargate. API Gateway was implemented as the unified entry point with request throttling and caching, while DynamoDB replaced the legacy relational database for product catalogue and cart services. CloudFront and S3 were deployed for static asset delivery with edge caching across 40+ global PoPs, and ElastiCache (Redis) was added for session management and real-time inventory lookups. The migration was executed in phases over 16 weeks with zero customer-facing downtime.

Technology Stack
AWS LambdaAPI GatewayDynamoDBCloudFrontS3ElastiCache
Measurable Results

The Impact

99.99%
Platform Uptime

Achieved 99.99% uptime post-migration, eliminating the recurring outages that previously cost $2.4M annually in lost sales.

65%
Infrastructure Cost Reduction

Monthly infrastructure costs dropped by 65% through serverless compute, auto-scaling, and elimination of over-provisioned co-located hardware.

3x faster
Page Load Performance

Average page load times improved from 4.2 seconds to 1.4 seconds with CloudFront edge caching and optimised API response times.

We used to hold our breath every Black Friday. After AQBEE migrated us to AWS, our last peak event handled 12x normal traffic without a single hiccup. The cost savings alone paid for the entire project within six months, and our engineering team can now deploy multiple times a day instead of once a month.

ML
Marcus Lindgren
CTO

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