Case Study: a fast-growing social platform improves real-time performance and reliability with Six Feet Up

a fast-growing social platform cuts recommendation latency from 600 ms to 4 ms with Six Feet Up

The fast-growing social platform faced significant technical challenges as it expanded its real-time audio features, including slow recommendation queries exceeding 600ms, unreliable deployments, and ineffective abuse detection. This complexity threatened to slow product development. The company engaged Six Feet Up to strengthen its Django-based platform on AWS, aiming to improve reliability and performance without sacrificing speed.

Six Feet Up implemented a full-stack solution that dramatically improved performance and reduced operational risk. Key results included slashing recommendation query latency from over 600ms to approximately 4ms and reducing the time to mitigate third-party failures from 30 minutes to 30 seconds using feature-flag kill switches. Session loss for anonymous web users was also reduced from 15-20% to near zero. These improvements allowed the social platform to support new product capabilities reliably while maintaining its development velocity.