Case Study: Airtime achieves deeper MongoDB observability with Honeycomb

Airtime - Customer Case Study

Airtime, the social video platform for iOS, Android, and desktop, needed better observability across its complex backend stack built on Node.js, Socket.IO, Docker, AWS, WebRTC, and multiple monitoring tools. Before using Honeycomb, the team could see when MongoDB was a bottleneck, but lacked enough detail to quickly pinpoint the exact queries or collections causing performance issues.

With Honeycomb and the Honeycomb agent, Airtime’s backend team was able to drill down into specific queries, collections, and metrics to identify the root cause of problems and fix them with confidence. Honeycomb also helped Airtime proactively prevent issues by triggering alerts on metrics like documents examined and average query duration, giving the team earlier warning when performance was trending in the wrong direction.

Airtime

Jesse R.

VP of Engineering