This article describes Ctrip's development of a unified real-time data platform, detailing its motivations, architectural choices such as Kafka and Storm, implementation of shared schemas, resource control, monitoring, and operational lessons, as well as experiences with Storm, JStorm, and Streaming CQL.
In this talk, Ctrip’s R&D Director Wu Yiting shares how the company’s continuous delivery platform evolved through large‑scale platform launches, major reforms, and the aftermath of the 528 incident, highlighting improvements in security, availability, scalability, and container‑based delivery practices.
Ctrip has become the first Chinese online travel service to obtain ISO 27001 certification, demonstrating enhanced information security management for its financial and business‑travel divisions and reassuring users that their personal and payment data are protected throughout the booking process.
The article examines how Ctrip shifted from a traditional OTA to a mobile-first travel platform, achieving 500 weekly innovations over three years, expanding its mobile share to over 75%, and rapidly scaling its engineering team to support complex mobile services.
At the 2016 China Big Data Industry Summit, Ctrip's CTO explained how the company's massive travel data and predictive analytics improve tourism planning, marketing, and privacy protection, illustrating the practical value of big data for users, platforms, and suppliers.
This article explains why log analysis platforms are essential as systems grow, outlines the benefits of centralized logging, presents Ctrip’s real‑world requirements and challenges, and introduces the ELK stack as a scalable solution for collecting, storing, and visualizing massive log data.
This article presents a detailed overview of Ctrip's Hermes message queue system, covering its architectural evolution from a simple Mongo‑based design to a broker‑centric, multi‑storage solution with meta‑server coordination, and discusses practical techniques for building high‑performance, scalable messaging infrastructure.
The article presents a detailed overview of Ctrip's Hermes asynchronous messaging system, describing its architectural evolution from a simple Mongo‑based queue to a broker‑centric design with MySQL and Kafka back‑ends, and explains optimization techniques for single‑node performance, clustering, lease‑based management, and reliable delivery.
This article presents an overview of Ctrip's cloud platform built on OpenStack, details the architecture and components of Ceph storage—including RGW and RBD—describes deployment configurations across multiple data centers, and discusses real-world use cases such as hotel image feature storage and cross‑region continuous delivery.
Ctrip's wireless development director shares a comprehensive overview of the app's network architecture, common performance pitfalls, and six concrete optimization techniques that boosted service success rates above 99% and cut latency by up to 200 ms across diverse network conditions.
The eight‑hour technical session at Ctrip’s second investment summit in Shanghai featured a series of expert talks covering infrastructure scaling, automation frameworks, call‑center efficiency, secure development lifecycles, pricing engine architecture, high‑availability engineering, AB testing strategies, and mobile app componentization, providing valuable insights for large‑scale internet companies.
The article recounts Ctrip’s three‑year transition from a traditional call‑center and web‑based OTA to a mobile‑first travel platform, detailing statistical growth, product consolidation, open API initiatives, system decoupling, performance monitoring, and continuous reliability improvements.
This article explains the motivations, design principles, compilation and runtime techniques of Ctrip's Android plugin‑based architecture and dynamic loading framework, detailing how it solves method‑count limits, improves build speed, enables hot‑deployment, and outlines the associated trade‑offs.
The article reviews Ctrip’s multi‑year technology journey, detailing its shift to distributed architecture, OpenStack‑based private cloud, custom asynchronous messaging, large‑scale search, security analytics, and mobile innovations, illustrating how strategic technical choices supported its dominance in online travel.
The article describes how Ctrip built a large‑scale mobile testing infrastructure, including device selection, scheduling, monitoring, and the Automation Platform as a Service (APS) that integrates TestNG, Appium, Jenkins CI, and reporting to support rapid, reliable app releases.
The interview explores how Ctrip adapts its travel services for Apple Watch, detailing the specific features offered, the design considerations for business travelers, and the technical challenges and opportunities of extending a mobile travel platform onto a wearable device.
The article examines the Ctrip outage by analyzing observed symptoms, evaluating the likelihood of a large‑scale database attack versus node failures, and discussing how backup strategies and private‑cloud storage could affect data recovery in such a severe security incident.
At Ctrip’s TDAY event, senior VP Eric Ye explained how big‑data techniques such as cross‑screen processing, real‑time APIs, and predictive models enable personalized travel recommendations and dramatically improve call‑center efficiency, illustrating the commercial impact of data‑driven marketing.
From 2011 to 2014 Ctrip shifted from a 25% online, 75% offline model to a mobile‑centric approach, reorganizing its 16 business units, decoupling systems, and adopting new engineering practices to improve performance, scalability, and team autonomy.
In this speech at the 14th China MBA Forum, Ctrip CEO Liang Jianzhang explains how traditional travel companies can reverse‑engineer the internet era through continuous innovation, organizational restructuring, and leveraging mobile and cloud technologies to sustain competitive advantage.
This article analyzes how Ctrip transformed from a simple flight and hotel booking platform into a dominant, integrated travel ecosystem through aggressive pricing wars, strategic investments, mobile expansion, and partnerships, reshaping the Chinese online travel market and its profit structures.
