Case 14 · AIOps Triple-Source Root-Cause Analysis · 400+ Microservices · MTTR 45min → 12min · Alert Fatigue Halved¶

TL;DR: AIOps Triple-Source Root-Cause Analysis · 400+ Microservices · MTTR 45min → 12min · Alert Fatigue Halved. Direction: AI + DevOps. Scale: 400+ microservices, 5000+ alerts/day. Hard KPI: MTTR 45min → 12min, alert fatigue halved. Tech: OpenTelemetry + ClickHouse + LLM correlation, SRE feedback loop. My role: data flow architecture, LLM correlation engineering, SRE integration. Client name anonymized under NDA.

• Direction: AI + DevOps
• Industry: fintech
• Scale: 400+ microservices, 5000+ alerts/day
• Hard KPI: MTTR 45min → 12min, alert fatigue halved

Problem¶

Fintech with 400+ microservices, 5000+ alerts/day, root cause depends on senior SREs manually correlating logs / metrics / traces.

Solution¶

Real-time logs + metrics + traces time-aligned across three sources, LLM produces root-cause hypotheses + correlation analysis, outputs Top-3 candidates.

Tech Stack¶

OpenTelemetry + ClickHouse + LLM correlation, SRE feedback loop

Result (Hard KPIs)¶

MTTR 45min → 12min, alert fatigue halved

My Role¶

data flow architecture, LLM correlation engineering, SRE integration

Related¶

• Full 20-case portfolio · Direction · AI + DevOps
• PDF one-pager
• 中文原页

Next: Download PDF · 30-min alignment

Client name anonymized · KPIs verified · Real client name disclosable under NDA.