As DoorDash experienced rapid growth over the last few years, we began to see the limits of our traditional methods of monitoring.
Tag Archives: observability
How DoorDash Migrated from StatsD to Prometheus
Accurate and reliable observability is essential when supporting a large distributed service, but this is only possible if your tools are equally scalable.
Maintaining Machine Learning Model Accuracy Through Monitoring
Machine learning model drift occurs as data changes, but a robust monitoring system helps maintain integrity.
Using Active Probing to Detect Infrastructure Failures
DoorDash engineers built Infra Prober, a new monitoring tool, to continually look for component failures and provide accurate alerts.