Case Study: DoorDash achieves reliable, scalable cloud-native observability and eliminates metric loss with Chronosphere

Why DoorDash Needed True Cloud-native Monitoring

DoorDash, operating a massive cloud-native stack, was experiencing constant metrics data loss and packet loss from its StatsD-based monitoring—developers could make benign changes that crashed the system and created a noisy-neighbor effect that left teams "flying blind." Seeking an open-source, scalable, reliable and fully distributed solution, DoorDash turned to Chronosphere’s monitoring-as-a-service built for cloud-native applications.

Chronosphere replaced the brittle StatsD pipeline with a simpler, fully distributed service that eliminated metric loss, reduced packet loss and other operational issues, and restored reliable observability so engineers can "set and forget" monitoring. Chronosphere’s platform also exposed tagging inconsistencies, improved visibility and cost control over observability data, and delivered measurable gains in reliability and reduced operational overhead.

DoorDash

Ryan Sokol

VP of Engineering