Technology reshapes logistics
This article provides a comprehensive analysis of MSSQL attack vectors—including stored procedures, COM components, CLR, sandbox bypass, triggers, proxy jobs, Kerberoasting, and linked servers—detailing prerequisites, exploitation steps with code examples, and practical mitigation recommendations to harden database security.
This article walks through a real-world investigation of memory leaks in a Rust-based frontend service, detailing common leak scenarios, profiling tools like tokio-console and jemalloc, load testing with k6, and the step-by-step analysis that uncovered regex misuse and cache bugs, ultimately stabilizing memory usage.
Huolala’s Wukong platform tackles the common “technology hype, implementation difficulty” dilemma of generative AI by unifying multimodal enterprise knowledge, enabling dynamic multi‑agent workflows, and providing low‑code tools, observability, and stable deployment across dozens of business scenarios.
This article outlines a practical approach to API anomaly detection, covering background, objectives, a comprehensive framework, feature engineering, threshold profiling, daily operations, detection methods, anomaly types, and response strategies, all driven by big‑data and machine‑learning techniques.
This article explains a comprehensive AI‑powered loss‑prevention framework that automatically identifies financial‑risk scenarios in both existing and new code, integrates model‑based detection into product, development, testing, and release stages, and continuously refines coverage through intelligent monitoring and rule enforcement.
This article describes the design and implementation of an automated H5 performance testing platform that integrates UI automation, mitmproxy traffic capture, waterfall visualization, and Lighthouse scoring to continuously monitor, evaluate, and improve web page performance in mobile applications.
This article explains how AI technologies are applied to freight safety, detailing the challenges of traditional controls, the architecture of a real‑time AI safety system, data processing, risk detection, tiered interventions, and the resulting improvements in accuracy and operational efficiency.
LalaEval is a comprehensive human‑evaluation framework that tackles enterprise challenges in building domain‑specific large language models by automating QA set generation, reducing evaluator subjectivity through controversy and score‑fluctuation analysis, and providing extensible, data‑driven metrics for model construction and iterative improvement.
This article explores the practical application of Domain‑Driven Design and hexagonal architecture in a real‑world CRM system, detailing strategic and tactical design, module division, code examples, and a step‑by‑step migration from a traditional layered architecture to a more flexible, maintainable backend solution.
This article reviews the evolution of skeleton screens, explains their underlying principles, shares real-world case studies from Huolala, and provides practical guidelines for creating responsive, fine‑grained, and visually appealing skeleton screens that improve perceived performance without sacrificing actual load speed.
