How AI Detects and Diagnoses Anomalies in Ctrip Train Ticket Metrics

This article presents a comprehensive AI‑driven system for automatically detecting anomalies in over 1,000 Ctrip train‑ticket business metrics and pinpointing their root causes, detailing the background, unsupervised algorithms, detection and attribution pipelines, practical results, and future improvements.

AI anomaly detectionCtripRoot Cause Analysis

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How AI Detects and Diagnoses Anomalies in Ctrip Train Ticket Metrics

Efficient Ops

Mar 24, 2020 · Operations

How NetEase Scales Game Monitoring to Billions: Architecture, Data, and AI

This article details NetEase's game monitoring system that supports billions of users worldwide, covering global monitoring challenges, a layered observability architecture, massive time‑series processing, visualisation and alerting mechanisms, and intelligent AI‑driven anomaly detection practices.

AI anomaly detectionCloud NativeObservability

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How NetEase Scales Game Monitoring to Billions: Architecture, Data, and AI