Technology reshapes logistics
This article explains the structure of JSON Web Tokens, outlines common attack vectors such as algorithm confusion, weak keys, replay, and header injection, and provides practical mitigation strategies and a testing checklist with recommended security tools.
This article chronicles the evolution of Huolala’s Kafka infrastructure—from an integrated compute‑storage design to a separated compute‑storage model with multi‑tenant deployment, and finally to a cloud‑native elastic architecture—detailing the challenges of capacity awareness, alarm configuration, and cost‑effective performance optimization.
This article explains how the Huolala mobile team built a stable symbol demangling system using the open‑source symbolic‑demangle tool, covering the concepts of name mangling, why symbolic was chosen, step‑by‑step adaptation for newer Swift versions, Linux Python‑wheel building, and practical troubleshooting tips.
Huolala’s real‑time reconciliation platform tackles massive daily transaction volumes by addressing distributed system consistency, high‑throughput data ingestion, dynamic cluster scaling, and security safeguards, enabling sub‑second settlement verification across hundreds of services.
This article details HuoLaLa's logistics platform challenges with petabyte‑scale data, the selection of Apache Flink CDC for stable, compatible, and low‑latency data ingestion, the construction of a multi‑layer CDC capability, migration strategies, measurable performance gains, and future open‑source contributions.
This article details how the Huolala team tackled growing performance problems in their WeChat mini‑program—such as long startup, page‑switch lag, and increasing bundle size—by measuring key metrics, setting aggressive targets, and applying a series of optimizations including performance data reporting, code‑splitting, async component loading, and skeleton screens, ultimately achieving significant reductions in launch and transition times while keeping the main bundle size under control.
This article explores how Hu Jia‑chun and the Huolala testing team tackled the exploding complexity of mobile app testing across Android, iOS, and HarmonyOS by applying task decomposition, parallel execution, cloud‑based device farms, OCR‑driven precise control, and custom multi‑device synchronization tools to dramatically improve coverage and speed.
This article describes how Huolala built a cloud‑native AI development platform called Dolphin to overcome low model delivery efficiency and poor compute‑resource utilization, detailing its architecture, one‑stop workflow, resource‑pooling, observability, and future roadmap for scaling AI across the company.
Filing 1.0 is a no‑code, heterogeneous data‑archiving platform that unifies MySQL, HBase, Hive, and Elasticsearch, addressing massive order volumes, multi‑domain requirements, and hot‑cold data separation through a star‑shaped architecture, flexible scheduling, and a four‑component archiving engine.
This article details the design, implementation, and performance improvements of the Starhan customer‑service platform, explaining how a graph‑based workflow engine, dynamic process management, and extensive automation reduce costs, shorten release cycles, and enhance user satisfaction across multiple business lines.
