Use Case

Revolutionizing API Partnerships: Real-Time Anomaly Detection at DoorDash

Time: May 9, 1:00 PM - 1:45 PM
Location: Imperial Ballroom

In the digital-first world, the efficiency and performance of APIs play a pivotal role in ensuring seamless interactions between different software applications. This is especially crucial in the on-demand delivery sector, where DoorDash has positioned itself as a market leader. The Developer Insights team at DoorDash has been instrumental in providing invaluable analytics and insights to DoorDash's API partners, ensuring that their interactions with the DoorDash Drive delivery platform are optimized for performance and reliability.

In this session, we will delve into an in-depth case study of how the Developer Insights team utilizes Apache Pinot for real-time analytics and StarTree ThirdEye for anomaly detection to serve DoorDash's API partners, including a major player, Mx. With an impressive array of 12 alerts, each capitalizing on the query enumeration feature, the team successfully supports over 550 Mx partners, ensuring they are immediately notified of any anomalies.