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

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.