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Yum! Tech Team

How we support the digital platform of China's largest restaurant group—technology behind hundreds of millions of consumers and over 12,000 stores.

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Latest from Yum! Tech Team

9 recent articles

Yum! Tech Team

Nov 28, 2024 · Cloud Native

Elastic Scaling Architecture for a Smart Delivery System During Peak Holiday Traffic

The article describes how an operations engineer transforms a complex, multi‑language smart delivery platform into an elastic, container‑native system that automatically scales, registers, and logs services during the high‑load Chinese New Year period using Kubernetes, Docker, init containers, and a configuration center.

Configuration ManagementDockerKubernetes

0 likes · 13 min read

Elastic Scaling Architecture for a Smart Delivery System During Peak Holiday Traffic

Yum! Tech Team

Oct 17, 2024 · Databases

Leveraging Distributed Database Technology (TiDB) for Digital Transformation in the Restaurant Industry: A Joint Innovation Lab Case Study

This report examines how Yum China and PingCAP’s joint innovation lab applies TiDB’s distributed database capabilities—such as elastic scaling, real‑time analytics, HTAP architecture, and multi‑region high availability—to address the restaurant sector’s operational challenges, improve customer experience, and drive data‑driven business growth.

Digital TransformationHTAPTiDB

0 likes · 16 min read

Leveraging Distributed Database Technology (TiDB) for Digital Transformation in the Restaurant Industry: A Joint Innovation Lab Case Study

Yum! Tech Team

Jul 3, 2024 · Backend Development

Implementing Sentinel for Traffic Protection and Rate Limiting in a Large-Scale Restaurant Digital Platform

This article details how a large restaurant chain leveraged the open‑source Sentinel framework to implement comprehensive traffic protection, rate limiting, and circuit‑breaking across millions of daily orders, describing challenges, design choices, high‑availability rule distribution, monitoring, user‑experience considerations, and providing Java code examples for integration.

BackendJavaObservability

0 likes · 11 min read

Implementing Sentinel for Traffic Protection and Rate Limiting in a Large-Scale Restaurant Digital Platform

Yum! Tech Team

Apr 9, 2024 · Backend Development

Optimizing High‑Concurrency Menu Services with Go sync.Pool Object Pool

This article explains the principles of object pools, details the internal implementation of Go's sync.Pool, and demonstrates through benchmarks how using an object pool can dramatically reduce memory allocation and latency for high‑traffic menu services in a restaurant ordering application.

BenchmarkGoMemory Management

0 likes · 13 min read

Optimizing High‑Concurrency Menu Services with Go sync.Pool Object Pool

Yum! Tech Team

Mar 1, 2024 · Operations

Building an Observability System Traffic Distribution Diagram

This article explains how to design and implement a traffic distribution diagram for an observability system, covering current cloud‑native tooling, data standardization, transformation, traffic‑flow modeling, aggregation, storage with ClickHouse, and visualisation techniques such as Sankey diagrams.

Cloud NativeObservabilitydata modeling

0 likes · 7 min read

Building an Observability System Traffic Distribution Diagram

Yum! Tech Team

Feb 6, 2024 · Information Security

Log Data Masking Solution for Java Spring Applications

This article analyzes the growing risk of personal data leakage, defines data masking, compares common log‑masking techniques, and presents a comprehensive Java‑Spring solution that combines annotation‑based marking, custom Jackson serializers, and extended SLF4J methods to achieve precise, low‑overhead log masking.

data maskinglog maskingslf4j

0 likes · 8 min read

Log Data Masking Solution for Java Spring Applications

Yum! Tech Team

Jan 29, 2024 · Cloud Computing

Flexible Compute Scheduling Practices in the Restaurant Industry: A Yum China Case Study

This article examines the challenges of uneven compute resource distribution across China and presents Yum China's practical approaches—including multi‑unit deployment, dual‑data‑center scheduling, and supporting platforms—to achieve flexible, cost‑effective compute scheduling for the restaurant sector.

Compute SchedulingResource OptimizationYum China

0 likes · 5 min read

Flexible Compute Scheduling Practices in the Restaurant Industry: A Yum China Case Study

Yum! Tech Team

Jan 19, 2024 · Cloud Native

Lossless Scaling Strategies for High‑Concurrency Microservices

This article examines lossless scaling techniques for high‑concurrency microservice architectures, detailing the challenges of expansion and contraction, early scaling approaches, and advanced optimizations such as delayed registration, readiness probes, eager‑load Ribbon, cache preloading, health‑check strategies, and asynchronous consumer handling to ensure high availability, performance, and cost efficiency.

Cloud NativeKuberneteslossless scaling

0 likes · 16 min read

Lossless Scaling Strategies for High‑Concurrency Microservices

Yum! Tech Team

Jan 8, 2024 · Artificial Intelligence

Using AIGC to Generate UML Diagrams: A Practical Exploration

This article explores how large language models like ChatGPT can be leveraged to transform natural‑language requirements into UML diagrams using PlantUML, demonstrating the workflow, prompt engineering, iterative training, and the resulting efficiency gains for developers.

AI-driven ModelingAIGCChatGPT

0 likes · 4 min read

Using AIGC to Generate UML Diagrams: A Practical Exploration