Xingsheng Youxuan Technology Official Account
By replacing JavaScript’s SparkMD5 with a Rust‑compiled WebAssembly module, the team dramatically reduced MD5 hash computation time for large files, cutting processing from over 30 seconds to under 7 seconds, while also improving CPU usage and enhancing data security for their cloud storage project.
This article explains the design and implementation of a unified data security control platform that protects user privacy and corporate data across multiple big‑data components (Hive, Hetu, GaussDB) by integrating Apache Ranger, custom authorization APIs, asynchronous processing, distributed locking, and SDK‑based authentication to achieve fine‑grained, one‑stop permission management.
This article explains the sliding window rate‑limiting algorithm, its advantages over fixed windows, and provides a detailed step‑by‑step implementation using Sentinel’s data structures, including window partitioning, bucket management, concurrency handling, and calculation of request counts within a moving time interval.
This article details how Xingdou Cloud leverages cloud‑native techniques such as massive node overselling, custom HPA (SophonHPA), priority‑based QoS, intelligent cleanup, and quota management to achieve dramatic cost reduction and efficiency gains across its multi‑cloud platform.
Explore the inner workings of MySQL InnoDB indexes, from row formats like Compact, Redundant, and Dynamic to page structures, B+Tree organization, and practical indexing strategies, complete with diagrams and tips for efficient query optimization and index design.
This article explains how the Picasso platform provides a standardized, high‑efficiency A/B testing pipeline for front‑end developers, covering traffic allocation algorithms, flow reuse, orthogonal and mutually exclusive experiments, multi‑scenario rules, custom metrics, reporting, and future enhancements.
Apache Druid is a distributed, column‑store OLAP engine designed for massive real‑time data ingestion and sub‑second queries; this article explains its LSM‑tree‑inspired architecture, DataSource and Segment structures, memory‑based querying, practical deployment steps, common pitfalls, and optimization techniques for high‑throughput analytics.
This article details a hybrid solution that combines native WebView containers, offline resource packaging, and Flutter Boost integration to deliver web applications with performance and user experience comparable to pure native apps, while enabling instant updates and rich native capabilities on both Android and iOS.
This article details the design, challenges, and solutions behind Prism, a self‑built front‑end monitoring platform that collects multi‑device SDK data, processes it through Kafka, Flink and ClickHouse, visualizes metrics, integrates with A/B testing, and outlines future enhancements for broader enterprise adoption.
