Resolve AI
5 Case Studies
A Resolve AI Case Study
The customer, DoorDash, faced a significant challenge with its $1B+ advertising platform. When system alerts fired, engineers struggled to quickly identify root causes across a complex microservices architecture, as issues often originated in upstream or downstream dependencies. This slow investigation process, which could pull multiple engineers into an incident, directly impacted revenue and advertiser trust, contributing to on-call engineer burnout.
The vendor, Resolve AI, implemented its AI-powered incident response platform to automate the correlation of signals across logs, metrics, and traces. As a result, DoorDash Ads reduced investigation time from 40 minutes to just 1 minute in one documented case and achieved an up to 87% faster time to root cause. Resolve AI also reduced the number of engineers needed per incident and helped preserve an estimated $200,000 in potential revenue during critical outages.
Alex Danilychev
Engineering Manager - Ads