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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, 2025 · Artificial Intelligence

Master Prompt Engineering: Proven Strategies to Optimize AI Model Performance

This article presents practical, step‑by‑step techniques for refining prompts used in large language model applications—covering intent detection, context enrichment, instruction compliance, model capability activation, and structural design—to dramatically improve accuracy, reduce hallucinations, and boost overall AI system reliability.

Chatbot Designai-optimizationmodel alignment

0 likes · 27 min read

Master Prompt Engineering: Proven Strategies to Optimize AI Model Performance

Qunar Tech Salon

Sep 1, 2025 · Databases

Redesigning Database Monitoring: From Push to Pull for Smarter Alerts

This article analyzes the shortcomings of the legacy database monitoring system, explains the transition from a push‑based to a pull‑based architecture, outlines comprehensive metric collection, intelligent alert strategies, and self‑healing mechanisms, and showcases the performance improvements achieved with the new solution.

Database MonitoringPrometheusalerting

0 likes · 25 min read

Redesigning Database Monitoring: From Push to Pull for Smarter Alerts

Qunar Tech Salon

Jul 31, 2025 · Information Security

How Multi‑Agent AI Transforms SDLC White‑Box Vulnerability Management

An in‑depth exploration of a Multi‑Agent AI system that automates SDLC white‑box vulnerability management, detailing industry‑standard processes, the system’s architecture, specialized agents, prompt engineering, tool integration, and real‑world results that boost audit efficiency and accuracy while enabling true security left‑shift.

AISDLCSecurity Automation

0 likes · 24 min read

How Multi‑Agent AI Transforms SDLC White‑Box Vulnerability Management

Qunar Tech Salon

Jul 22, 2025 · Databases

Quark’s Data Platform Upgrade with StarRocks: Architecture, Performance, Roadmap

This article details how Quark’s data platform consolidated multiple analytics engines into a unified StarRocks‑based OLAP solution, covering business background, engine selection, architecture redesign, performance tuning, operational practices, and future plans for scalability and reliability.

Data PlatformKubernetesOLAP

0 likes · 19 min read

Quark’s Data Platform Upgrade with StarRocks: Architecture, Performance, Roadmap

Qunar Tech Salon

Jun 5, 2025 · Artificial Intelligence

Unlocking OpenAI Agents SDK: Core Features, Code Samples, and Framework Comparisons

This article introduces the OpenAI Agents SDK, explains its key capabilities such as Agent Loop, Handoffs, Guardrails, and Tracing, provides practical Python code examples, compares it with other multi‑agent frameworks, and discusses best practices for building reliable AI applications.

AI AgentsAgents SDKGuardrails

0 likes · 17 min read

Unlocking OpenAI Agents SDK: Core Features, Code Samples, and Framework Comparisons

Qunar Tech Salon

May 9, 2025 · Operations

Kafka Production Optimization: Reducing Load and Improving Compression via Filebeat Tuning

This technical case study details how a high‑traffic Kafka logging cluster was optimized by adjusting Filebeat and Kafka parameters, increasing compression batch size, and tuning Kubernetes settings, resulting in significant reductions in request volume, network traffic, CPU usage, and overall resource consumption.

CompressionKafkafilebeat

0 likes · 10 min read

Kafka Production Optimization: Reducing Load and Improving Compression via Filebeat Tuning

Qunar Tech Salon

Mar 27, 2025 · Operations

Automated Capacity Planning and Auto‑Scaling for Hotel Services During Traffic Peaks

This document describes a comprehensive capacity‑planning solution that predicts traffic‑peak impacts for hotel services, automatically estimates required CPU resources, creates timed scaling tasks, and evaluates performance using detailed metrics, thereby improving operational efficiency and reducing manual effort during events such as exam‑ticket printing and holiday travel surges.

AlgorithmAuto ScalingCloud Computing

0 likes · 12 min read

Automated Capacity Planning and Auto‑Scaling for Hotel Services During Traffic Peaks

Qunar Tech Salon

Feb 17, 2025 · Artificial Intelligence

Evolution of Qunar Hotel Search Ranking: From LambdaMart to LambdaDNN and Multi‑Objective Optimization

The article details Qunar’s hotel search ranking system evolution, covering the shift from rule‑based sorting to LambdaMart, the adoption of LambdaDNN deep models, multi‑objective MMOE architectures, multi‑scenario integration, extensive feature engineering, and experimental results demonstrating significant offline and online performance gains.

deep-learningfeature-selectionlearning to rank

0 likes · 36 min read

Evolution of Qunar Hotel Search Ranking: From LambdaMart to LambdaDNN and Multi‑Objective Optimization

Qunar Tech Salon

Jan 14, 2025 · Frontend Development

AI-Driven Frontend Code Generation at Qunar: D2C and Large‑Model Solutions

In the AI era, Qunar's front‑end tech director presents how D2C and large‑model‑based code generation dramatically improve front‑end productivity across three business scenarios, achieving up to 55% automated code coverage for both C‑end and B‑end applications.

AID2CQunar

0 likes · 25 min read

AI-Driven Frontend Code Generation at Qunar: D2C and Large‑Model Solutions

Qunar Tech Salon

Dec 10, 2024 · Big Data

Understanding and Solving Small File Problems in Hive and Spark

This article explains what constitutes a small file in HDFS, why they harm memory, compute and cluster load, outlines common sources such as data sources, streaming and dynamic partitioning, and provides detailed Hive and Spark solutions—including CombineHiveInputFormat, merge parameters, distribute by, and custom Spark extensions—to efficiently merge small files and improve job performance.

HiveMapReduceOptimization

0 likes · 23 min read

Understanding and Solving Small File Problems in Hive and Spark