Case Study: TopDawg achieves faster, zero-downtime image processing with Radixweb

A Radixweb Case Study

Preview of the TopDawg Case Study

TopDawg cuts image processing delays by 90%+ with Radixweb

The U.S.-based dropshipping platform TopDawg faced significant operational challenges with its image processing pipeline. Frequent product imports, involving thousands of items with multiple images each, were causing 10-20 minutes of server downtime and delays of several days, severely disrupting their platform. Radixweb assessed the situation and identified that the server-based architecture was overloading the main application and database, causing recurring performance issues.

Radixweb implemented a serverless solution using AWS Lambda to manage image downloading, conversion, and storage. By replacing ten EC2 instances with an event-driven workflow powered by Lambda and SQS, they isolated the intensive image processing from the core platform. This modernization effort resulted in a 90% faster processing time, eliminated downtime, and reduced a multi-day publishing cycle to just 4-5 hours, allowing TopDawg to handle future growth seamlessly.


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