Anomaly Detection and Root Cause Analysis System for Ctrip Train Ticket Business Metrics

This article presents an AI‑driven system that automatically detects anomalies in over 1,000 Ctrip train‑ticket business metrics using six unsupervised algorithms and locates their root causes through a hard‑voting ensemble of four specialized methods, demonstrating practical results and future enhancements.

Anomaly DetectionCtripRoot Cause Analysis

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Anomaly Detection and Root Cause Analysis System for Ctrip Train Ticket Business Metrics

Mafengwo Technology

Apr 25, 2019 · Backend Development

From Monolith to Microservices: Lessons from Building a Train Ticket System

This article details how Mafengwo’s train ticket platform evolved from a simple LNMP monolith to a Java‑based microservice architecture, covering the technical decisions, infrastructure upgrades, service design, data modeling, state management, idempotency, and future roadmap for scaling and reliability.

JavaMicroservicesSystem Architecture

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From Monolith to Microservices: Lessons from Building a Train Ticket System