How Samsung achieved real-time pricing with AWS Lambda Response Streaming
Architecture Blog
This article describes how Samsung achieved real-time pricing on its ecommerce platform by replacing a legacy caching architecture with AWS Lambda Response Streaming and CloudFront edge caching.
- Legacy system used hourly cron jobs creating 1-hour price desynchronization gap
- Precomputing all product permutations caused exponential storage growth and waste
- New stateless Bulk Arbitration Engine queries pricing engine directly at request time
- Lambda Response Streaming fans out 30 SKU requests in parallel without buffering
- Compressed GET query strings enable CloudFront caching (95% cache hit ratio)
- HTTP/2 multiplexing and GZIP compression (76% reduction) optimized data transfer
- P90 latency improved 90x: 4,500ms baseline to 50ms production
- Compute fleet reduced from 100+ instances to 5-10 Lambda functions during peak
Samsung's solution demonstrates how Lambda Response Streaming combined with CloudFront edge caching eliminates synchronization layers for real-time data aggregation at scale.
The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.
Related articles
The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.