Case Study: Uber Freight achieves faster onboarding and reduced MTTR/MTTD with Datadog

How Uber Freight powers intelligent logistics with Datadog

Uber Freight, a division of Uber, needed end-to-end observability to support 99.99% uptime across more than 1,000 shippers and $18B in freight under management. Its previous monitoring tool had coverage gaps, often detected issues only after customers noticed them, and limited access to a small set of users.

Uber Freight turned to Datadog for metrics, dashboards, end-to-end monitoring, and alerting. With Datadog, the team now gets immediate system-reported incidents and broader visibility across services, which helped significantly decrease MTTR/MTTD and improve customer experience. Datadog also sped adoption, taking Uber Freight from pilot to production in 40 days instead of three months, a 55% faster onboarding process.

Uber Freight

Thiyagarajan Anandan

Engineering Manager-II SRE & DevOps