Sharing insights and experiences from Dada Group's R&D department on product refinement and technology advancement, connecting with fellow geeks to exchange ideas and grow together.
This article details Dada Group's full‑link load‑testing architecture, from industry background and machine‑tagging design to platform components, deployment workflow, optimization plans, fine‑grained modeling, pre‑heat strategies, post‑test analysis, and the resulting stability and efficiency gains.
This article examines JD Daojia's order fulfillment system, detailing the challenges of high‑volume prompt‑sound queries, the division of responsibilities among Redis, MySQL, and Elasticsearch, the adoption of Canal for asynchronous data replication, deployment practices with Kafka and Zookeeper, and the key operational lessons learned.
Facing rising traffic, JD Daojia’s in‑house load‑testing platform was redesigned to automate script management, enable distributed JMeter execution, integrate real‑time monitoring, and support custom RPC protocols, dramatically lowering manual effort, cutting test cycles from an hour to fifteen minutes while ensuring system stability.
This article details the background, research, identified issues, and step‑by‑step technical solutions—including code examples—for implementing comprehensive accessibility support in the JD Daojia React Native (RN) platform, aiming to enable visually impaired users to complete the full purchase flow.
This article presents Dada Group's comprehensive approach to elastic capacity management and automated scaling, detailing the challenges faced during traffic spikes, the design of a cloud‑native auto‑scaler, multi‑metric observability, decision‑making logic, execution mechanisms, extreme scaling practices, and future optimization directions.
This article explains the architecture, reliability mechanisms, dynamic configuration, monitoring, and alerting strategies of JD Daojia Open Platform's Business Message Queue (BMQ), illustrating how the system handles bidirectional communication, fault isolation, and scalable message processing for merchants.
This article describes how Dada built a JaCoCo-powered code coverage platform for Java services deployed on Kubernetes, covering tool selection, on‑the‑fly instrumentation, data collection, incremental coverage analysis, CI gate enforcement, encountered pitfalls, and future enhancements.
This article examines the motivation, architecture, rendering principles, code adaptations, performance testing, and practical challenges of converting Flutter mobile code to Flutter for Web, presenting a case study from JD.com and offering recommendations for future cross‑platform development.
This article details Dada's dual‑cloud active‑active disaster‑recovery implementation, explaining high availability versus disaster recovery, describing the first‑phase architecture and challenges, and outlining the second‑phase enhancements such as multi‑data‑center Consul, bidirectional database replication, precise load‑balancing, tool adaptations, capacity elasticity, and future plans.
This event features an architect from JD.com's backend team discussing strategies for designing high-availability, high-performance order systems to handle massive concurrent orders during major sales events like 618, based on real-world case studies and Elastic technology implementations.
