Case Study: Douglas achieves near real-time visibility and faster error detection with Akamai Technologies (DataStream)

Douglas’ DevOps Teams Gain Near Real-Time Visibility and Monitoring with Akamai DataStream

Douglas, founded in 1821, is a leading European beauty retailer with ~2,400 stores and an online presence across 24 countries offering some 50,000 products. Facing margin pressure and a strategic need to grow online revenue, Douglas was deploying code multiple times per day but lacked real-time visibility into CDN and HTTP-layer activity—causing delayed detection of errors (e.g., widespread 404s) that hurt revenue, SEO, and brand.

Douglas implemented Akamai DataStream to push real-time HTTP logs via serverless pipelines into cloud storage and monitoring tools. The solution eliminated costly polling, enabled near-real-time alerts and drill-downs, improved mean time to detect and recover, provided shared dev-and-ops visibility, and helped tune CDN performance—minimizing downtime and supporting a more agile DevOps model.

Douglas