Ctrip Technology
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Ctrip Technology

Official Ctrip Technology account, sharing and discussing growth.

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Ctrip Technology
Ctrip Technology
Dec 28, 2023 · Frontend Development

Understanding Atomic CSS and Facebook’s Stylex: Concepts, Trade‑offs, and Practical Usage

This article explains the principles of Atomic CSS, discusses its advantages and drawbacks, shows how Facebook’s open‑source Stylex implements Atomic CSS with Babel, and demonstrates practical usage patterns such as stylex.create, stylex.props, defineVars, and createTheme to improve front‑end performance and maintainability.

CSS-in-JSStyleXatomic CSS
0 likes · 16 min read
Understanding Atomic CSS and Facebook’s Stylex: Concepts, Trade‑offs, and Practical Usage
Ctrip Technology
Ctrip Technology
Dec 21, 2023 · Backend Development

Load Balancing ASR Services in Ctrip Call Center: Architecture and Implementation with FreeSWITCH and OpenSIPS

This article details the design, evolution, and best‑practice implementation of load‑balancing for ASR (speech‑recognition) services in Ctrip's massive call‑center, covering component architecture, MRCP integration, challenges with traditional balancers, and two practical solutions using FreeSWITCH distributor and OpenSIPS.

ASRFreeSWITCHMRCP
0 likes · 27 min read
Load Balancing ASR Services in Ctrip Call Center: Architecture and Implementation with FreeSWITCH and OpenSIPS
Ctrip Technology
Ctrip Technology
Dec 14, 2023 · Operations

Improving Optical Transport Network Reliability at Ctrip: Architecture, Issue Analysis, and Optimization Strategies

This article describes Ctrip's optical transport network (TOTN) architecture, analyzes frequent fiber‑cut incidents and resulting device port flapping, presents technical research on fast optical switching and alarm delay, and details an optimization plan that achieved sub‑100 ms fault‑free switchover and stable Redis performance.

DCILink DelayNetwork Reliability
0 likes · 11 min read
Improving Optical Transport Network Reliability at Ctrip: Architecture, Issue Analysis, and Optimization Strategies
Ctrip Technology
Ctrip Technology
Nov 23, 2023 · Big Data

Optimizing Data Warehouse Timeliness Using Metadata Lineage

This article presents a metadata‑driven approach to improve data warehouse timeliness by extracting upstream lineage, identifying over‑layered, duplicate, and critical‑path tasks, and applying targeted scheduling and code‑level optimizations, demonstrated with a hotel order wide‑table case study.

DAGData WarehouseLineage
0 likes · 7 min read
Optimizing Data Warehouse Timeliness Using Metadata Lineage
Ctrip Technology
Ctrip Technology
Nov 9, 2023 · Backend Development

Exploring Ctrip Flight IVR Visual Platform: Architecture, Evolution, and Implementation

This article details the evolution of Ctrip's flight IVR system from a simple Chinese‑only version to a multilingual, fully visualized low‑code platform, describing its architecture, core components such as data definition, rule and script engines, version management, and the underlying Node.js and React technologies.

Backend DevelopmentIVRLow‑code
0 likes · 14 min read
Exploring Ctrip Flight IVR Visual Platform: Architecture, Evolution, and Implementation
Ctrip Technology
Ctrip Technology
Nov 2, 2023 · Backend Development

Design and Implementation of the PGClowcode Low‑Code Platform at Ctrip

The article details the motivation, design, architecture, key features, deployment workflow, and future roadmap of Ctrip's PGClowcode low‑code platform, which enables rapid visual development of backend pages through a front‑end React UI and a Spring WebFlux backend, addressing common challenges in large‑scale internal tool development.

CtripDeploymentFrontend
0 likes · 21 min read
Design and Implementation of the PGClowcode Low‑Code Platform at Ctrip
Ctrip Technology
Ctrip Technology
Oct 26, 2023 · Artificial Intelligence

Time Series Forecasting of Key Business Indicators: Methods, Models, and Practical Deployment

This article presents a comprehensive study on forecasting critical business metrics such as traffic, order volume, and GMV using traditional, machine‑learning, and deep‑learning time‑series models, detailing feature engineering, model design, experimental comparison, online deployment, and monitoring strategies.

AutoformerProphetTimesNet
0 likes · 18 min read
Time Series Forecasting of Key Business Indicators: Methods, Models, and Practical Deployment
Ctrip Technology
Ctrip Technology
Oct 19, 2023 · Artificial Intelligence

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
0 likes · 18 min read
Anomaly Detection and Root Cause Analysis System for Ctrip Train Ticket Business Metrics