Sharing Fangduoduo's product and tech insights, delivering value, and giving back to the open community.
This article details how Fangduoduo built an integrated, cloud‑native CI/CD release system—combining Vue front‑end, Python back‑end, Jenkins, Gerrit, Docker Swarm and Kubernetes—to automate builds, deployments, version control, testing, and service maintenance, dramatically boosting development efficiency.
This article explains what data lineage is, why it is essential for data governance in large‑scale big‑data platforms, compares Apache Atlas with a custom solution, and details the technical choices, architecture, and performance optimizations behind the self‑built duo‑lineage system.
Facing tangled microservice calls and heavy front‑end data stitching, Fangdd’s engineering team evolved from monolithic PHP to a multi‑layered microservice architecture, introducing Duo‑GraphQL to unify data via GraphQL providers, a BFF layer, and optimized engine, dramatically improving development speed and performance.
This article explains how Fangdd leverages Elasticsearch to boost search performance across consumer, broker, and internal products, detailing a platformized architecture that separates indexing and querying, addresses operational challenges, and outlines design patterns for index management and incremental updates.
This article details how Fangduoduo, a leading mobile real‑estate platform, migrated to a Docker Swarm‑based container cloud, covering the reasons for choosing Swarm, architecture design, networking, CI/CD integration, performance optimizations, monitoring, and the operational benefits gained from the transition.
This article explains what a Service Mesh is, how FangDuoduo adopted Envoy and macvlan/overlay networks to solve Dubbo IP registration issues, built an XDS configuration service for both containers and VMs, and dramatically improved development efficiency and infrastructure agility.
This article explains how Fangduoduo’s R&D team creates an empowering platform by gathering creative talent, fostering a self‑driven culture, integrating product thinking into engineering, and applying DevOps, OKR, and Scrum practices learned from leading Silicon Valley companies.
The article explains why a systematic data‑driven metric framework is essential for product and business decisions, outlines a step‑by‑step method to build baseline metrics using business‑story logic, introduces the AARRR pirate‑metrics model, and shares practical tips for continuous monitoring, iteration, and scaling of metric systems.
This article traces the explosive rise of Ajax, the browser wars that drove compatibility hacks, the myriad challenges front‑end engineers face today, and how modularization, bundling, automation, and Docker have transformed web development into a highly engineered, scalable practice.
