At Peloton Cycle, DevOps Engineer K.Z Win uses Datadog to collect server and application metrics for monitoring system health, sending alerts, and providing business insights. The company's infrastructure includes high-end indoor bicycles with Android tablets that stream live coaching sessions and send rider performance data via HTTP protocol to application servers running behind reverse-proxied NGINX. Datadog integrates easily with all software used in Peloton Cycle's infrastructure, including NGINX. The company uses a linear transformation of NGINX requests per second to estimate the number of live rides but later switched to using DogStatsD for more accurate ride counting. Additionally, they implemented custom checks for monitoring replica or standby instances in their Redis and PostgreSQL databases. Overall, Datadog has proven to be a developer-friendly metric collecting service with useful integrations and an open source framework that allows easy customization and extension.