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AWS E-Commerce Infrastructure

AWS for E-Commerce. Never Lose a Sale to Slow Pages or Downtime

Every second of page load delay costs 7% in conversions. Every minute of downtime during peak sales is lost revenue. We build AWS infrastructure that handles Black Friday traffic without breaking a sweat.

Sub-Second Page Loads

Edge-cached globally

Auto-Scale for Traffic Spikes

Zero manual intervention

Global CDN Delivery

300+ edge locations

99.99% Uptime SLA • Fixed-Price • Performance Guaranteed

Common Challenges

Problems That Cost E-Commerce Revenue

These problems cost e-commerce businesses millions every year. Sound familiar?

Black Friday Crashes

Site goes down during your biggest sales events. Traffic spikes overwhelm servers and customers leave for competitors.

Slow Product Pages

3+ second load times killing conversion rates. Every extra second drops conversions by 7% and pushes customers to Amazon.

Cart Abandonment

Checkout timeouts, payment failures, slow search results. Customers abandon carts when the experience feels broken.

Solution Stack

E-Commerce Infrastructure That Sells

Every layer optimized for speed, reliability, and conversion. Built on AWS services purpose-made for retail.

Product Catalog & Search

OpenSearch + DynamoDB + ElastiCache

Instant search with typo tolerance, faceted filtering, and autocomplete. Product data cached in memory for microsecond reads. Handles millions of SKUs without slowing down.

Media & CDN

CloudFront + S3 + Image Optimization

Product images served from 300+ edge locations worldwide. Automatic WebP/AVIF conversion, responsive sizing, and lazy loading. Time to First Byte under 50ms globally.

Checkout & Payments

API Gateway + Lambda + SQS

Queue-based order processing that never drops a transaction. Circuit breakers for payment gateways, automatic retries, and dead letter queues for failed orders. Zero lost sales.

Personalization & Recommendations

Amazon Personalize + ML Pipeline

ML-powered product recommendations, personalized search rankings, and dynamic pricing. Increase average order value by showing customers exactly what they want to buy next.

Inventory & Order Management

EventBridge + Lambda + DynamoDB Streams

Event-driven inventory sync across warehouses, marketplaces, and POS systems in real-time. Stock levels update in milliseconds. No overselling, no stockout surprises.

Analytics & Attribution

Kinesis + Redshift + QuickSight

Real-time dashboards for revenue, conversion funnels, and customer behavior. Stream clickstream data into Redshift for attribution modeling and cohort analysis.

Architecture

Three Layers of Speed

CDN, caching, and auto-scaling working together. Every request takes the fastest path.

Layer 1Edge CDN
CloudFront + Lambda@Edge

Static assets, product images, and HTML pages cached at 300+ edge locations. Lambda@Edge handles A/B testing, geo-routing, and personalized headers at the edge. 90% of requests never reach your origin servers.

<50ms
TTFB
90%+
Cache Hit
300+
Edge Locations
Layer 2Application Cache
ElastiCache + DynamoDB DAX

Hot product data, session state, and search results stored in Redis and DAX for microsecond reads. Cache invalidation tied to inventory events so prices and stock are always accurate. Database load drops by 95%.

<1ms
Read Latency
95%
DB Offload
Instant
Session Speed
Layer 3Auto-Scaling Compute
ECS Fargate + Lambda + Aurora Serverless

Compute scales from baseline to peak in seconds, not minutes. Fargate handles sustained workloads, Lambda absorbs spikes, and Aurora Serverless scales database capacity on demand. You pay for actual usage, not peak capacity.

<30s
Scale Time
50x
Peak Handle
Near $0
Idle Cost

AWS E-Commerce Infrastructure FAQ

Common questions about building e-commerce on AWS.

AWS Auto Scaling groups, CloudFront CDN, and DynamoDB on-demand capacity absorb traffic spikes automatically. We configure pre-warming for predictable events like Black Friday so your infrastructure scales up before the rush hits. Our clients have handled 50x normal traffic without a single timeout.

The core stack includes CloudFront for CDN, S3 for media, DynamoDB and ElastiCache for product catalog and sessions, OpenSearch for search, API Gateway and Lambda for checkout APIs, SQS for order processing queues, and Kinesis plus Redshift for analytics. We pick the right service for each workload instead of forcing everything into one pattern.

A mid-size store doing $5-20M in annual revenue typically spends $2,000-6,000/month on AWS infrastructure with our architecture. That includes CDN, compute, database, search, and caching. The key is right-sizing every layer and using on-demand scaling so you only pay for capacity you actually use.

Yes. We migrate Shopify Plus backends, Magento, WooCommerce, and custom platforms to AWS. We follow a phased approach: CDN and media first (immediate speed gains), then database and search, then checkout and order processing. Most migrations complete in 6-10 weeks with zero downtime.

Three layers: CloudFront edge caching puts content within 50ms of every customer globally, ElastiCache keeps hot product data in memory for microsecond reads, and optimized image pipelines serve WebP/AVIF at the right resolution. The result is Time to First Byte under 100ms and full page loads under 1 second.

We design checkout flows with queue-based processing and circuit breakers. If the payment gateway is slow, orders queue in SQS and process when it recovers. If a Lambda function fails, it retries automatically with exponential backoff. Dead letter queues catch anything that fails repeatedly so no order is ever lost.

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