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Qunar Tech Salon

Qunar Tech Salon is a learning and exchange platform for Qunar engineers and industry peers. We share cutting-edge technology trends and topics, providing a free platform for mid-to-senior technical professionals to exchange and learn.

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Latest from Qunar Tech Salon

100 recent articles max

Qunar Tech Salon

Oct 10, 2024 · Operations

Design and Architecture of a Distributed Task Scheduling System for Database Automation

This document outlines the terminology, background, requirements, task classifications, state model, and detailed architecture—including TaskScheduler, TaskWorker, and TaskConsole components—of a new distributed task scheduling system designed to replace Celery in a database automation platform, with emphasis on scalability, reliability, and extensibility.

LocksTask Schedulingdistributed systems

0 likes · 23 min read

Design and Architecture of a Distributed Task Scheduling System for Database Automation

Qunar Tech Salon

Aug 28, 2024 · Databases

Why Vector Databases Are Needed, PgVector Installation, Usage, and Operational Practices in PostgreSQL

This article explains the necessity of vector databases for AI workloads, reviews the PostgreSQL ecosystem, compares vector database options, provides detailed PgVector installation and usage steps, shares operational best‑practices, performance tuning tips, and real‑world deployment cases at Qunar and Tujia.

AIPerformance TuningPgVector

0 likes · 24 min read

Why Vector Databases Are Needed, PgVector Installation, Usage, and Operational Practices in PostgreSQL

Qunar Tech Salon

Aug 8, 2024 · Backend Development

Using Satori and Resvg (or Sharp) for Efficient Backend Image Generation: Architecture, Implementation, and Optimizations

This article examines various image‑generation approaches, compares web‑frontend, client‑side, and backend methods, introduces a new Node‑backend solution based on Satori to convert HTML to SVG and then to PNG with Resvg (later Sharp), and details performance and memory optimizations that dramatically improve speed, resource usage, and stability for large‑scale image‑service deployments.

Node.jsResvgSatori

0 likes · 14 min read

Using Satori and Resvg (or Sharp) for Efficient Backend Image Generation: Architecture, Implementation, and Optimizations

Qunar Tech Salon

Jul 25, 2024 · Artificial Intelligence

AI-Generated Video Practices for International Hotels

At the WOT2024 conference, Qunar Travel’s CTO Zheng Jimin presented a comprehensive overview of AI-generated video production for international hotels, detailing challenges, AI-driven workflow automation, practical implementation steps, multilingual translation enhancements, and performance results, offering valuable insights for scaling high‑quality hotel video content.

AIAIGCHotel Industry

0 likes · 11 min read

AI-Generated Video Practices for International Hotels

Qunar Tech Salon

Jul 2, 2024 · Artificial Intelligence

Comprehensive Attribution Analysis Methodology and Its Business Application

This article presents a detailed attribution analysis framework—including background research, a four‑step workflow, Bayesian causal detection, Simpson's paradox handling, and real‑world case studies—demonstrating how data‑driven insights can improve conversion rates and operational efficiency across multiple business lines.

Bayesian networkBusiness AnalyticsSimpson's Paradox

0 likes · 15 min read

Comprehensive Attribution Analysis Methodology and Its Business Application

Qunar Tech Salon

Jun 21, 2024 · Cloud Native

Redesigning Kubernetes DNS Architecture with q-dnsmasq for Improved Reliability and Performance

This article details the motivation, design, implementation, testing, and rollout of a refactored Kubernetes DNS solution that replaces the default kube-dns → CoreDNS chain with a node‑local q‑dnsmasq cache and parallel upstream queries to achieve higher availability, faster resolution, and better cache hit rates in large‑scale clusters.

CoreDNSDNSKubernetes

0 likes · 18 min read

Redesigning Kubernetes DNS Architecture with q-dnsmasq for Improved Reliability and Performance

Qunar Tech Salon

Jun 14, 2024 · Operations

Design and Implementation of a Second-Level Monitoring System for Qunar Travel

This article details the background, overall architecture, challenges, and step‑by‑step redesign of Qunar Travel's Watcher monitoring platform to achieve second‑level (per‑second) data collection, storage, and alerting, including storage engine selection, client and server optimizations, deployment strategies, and operational outcomes.

DevOpsmonitoringtime-series database

0 likes · 17 min read

Design and Implementation of a Second-Level Monitoring System for Qunar Travel

Qunar Tech Salon

Jun 12, 2024 · Artificial Intelligence

Design and Implementation of Qunar Flight Ticket Intelligent Alert (Radar) System

This article presents a comprehensive analysis and engineering of Qunar's flight‑ticket intelligent pre‑warning (Radar) system, covering the business need, value analysis, architectural redesign, feature extraction, indicator classification, accuracy quantification, multi‑algorithm anomaly detection, automatic parameter tuning, observed effects, and future plans to incorporate large‑model techniques.

Machine Learninganomaly detectionflight ticket

0 likes · 17 min read

Design and Implementation of Qunar Flight Ticket Intelligent Alert (Radar) System

Qunar Tech Salon

May 24, 2024 · Cloud Native

Adopting a Shrink‑Then‑Expand Deployment Model to Improve Release Efficiency in a Large‑Scale Travel Platform

This article analyzes the release‑time bottlenecks of a core travel platform after the post‑COVID traffic surge and presents a shrink‑then‑expand deployment strategy combined with physical‑machine container deployment, evaluating several open‑source solutions and demonstrating significant improvements in release speed, resource cost, and system stability.

DeploymentKubernetescontainer

0 likes · 17 min read

Adopting a Shrink‑Then‑Expand Deployment Model to Improve Release Efficiency in a Large‑Scale Travel Platform

Qunar Tech Salon

May 20, 2024 · Big Data

Optimizing Kafka Production at Qunar Travel: Reducing CPU Usage by 2000 Cores

This article presents a comprehensive case study of how Qunar Travel identified and resolved Kafka production bottlenecks—through metric monitoring, thread and flush parameter tuning, and Filebeat batch adjustments—resulting in a 2000‑core CPU reduction, higher network idle rates, and lower resource consumption across three clusters.

Kafkamonitoring

0 likes · 12 min read

Optimizing Kafka Production at Qunar Travel: Reducing CPU Usage by 2000 Cores