Alert overload at $180K per hour of downtime
A top-10 e-commerce platform processing 50M daily transactions was hemorrhaging revenue during peak-season incidents. A single hour of downtime cost $180K. Their SRE team was overwhelmed - alert volumes during peak periods exceeded 3,000 notifications per day, of which the vast majority were noise.
Engineers were spending 70% of their on-call time triaging false positives rather than fixing real problems. L3 escalations were frequent, MTTR averaged 4+ hours, and post-incident reviews revealed the same root causes appearing repeatedly - unresolved because the team was always fighting the next fire.
The platform needed SRE at machine speed, not human speed.
AI-SRE that learns, correlates, and acts autonomously
Nudgebee's AI-SRE Assistant was deployed as an intelligence layer on top of the team's existing observability stack - no rip-and-replace. It learned the normal operational patterns of every service in the first week, then transformed incident response from a reactive, manual process to an autonomous, intelligent one.
The shift wasn't just operational - it was cultural. Engineers stopped dreading on-call rotations because Nudgebee handled the noise. The SRE team refocused on reliability engineering instead of incident firefighting.
61% auto-resolved. Zero $180K/hr events.
The e-commerce platform now runs peak-season events with confidence. Black Friday and Cyber Monday - previously all-hands-on-deck emergencies - became routine operational periods. The SRE team's on-call burden dropped by more than half, and senior engineers reclaimed time for proactive reliability work.