The Huawei Cloud Developer Alliance creates a tech sharing platform for developers and partners, gathering Huawei Cloud product knowledge, event updates, expert talks, and more. Together we continuously innovate to build the cloud foundation of an intelligent world.
This article reviews GaussDB(DWS) TopSQL, explaining its purpose, core principles, configurable parameters, system tables, typical real‑time and historical use cases, and practical tips for using TopSQL to monitor, diagnose, and optimize SQL workloads in production environments.
Huawei Cloud’s Pangu weather large model leverages a 3‑D neural network and AI‑driven temporal aggregation to deliver seven‑day global forecasts up to ten thousand times faster than traditional methods, improving accuracy and lead time over established ECMWF systems.
The article explains the runc 1.1.11 container‑escape vulnerability (CVE‑2024‑21626), how it allows attackers to break out of containers and gain host privileges, details Huawei Cloud’s reproduction steps, and provides mitigation guidance including upgrading to runc 1.1.12 and using HSS scanning and intrusion‑detection features.
The 2024 National Advanced Computer Teaching Training held in Dongguan brought together over 200 university teachers from 119 schools to explore cutting‑edge topics such as cloud data warehouses, AI platforms, digital logic, and OpenHarmony, showcasing industry‑academic collaboration and practical hands‑on sessions.
An in‑depth analysis of the 2023 Cactus ransomware reveals its multi‑stage attack chain—from initial VPN‑based intrusion and double‑extortion tactics to lateral movement, custom batch‑script encryption, and data exfiltration via RClone—followed by comprehensive Huawei Cloud HSS‑based protection recommendations.
This article explains low‑code and zero‑code concepts, outlines the problems a low‑code platform solves, guides developers on choosing a platform, and details Huawei Cloud Astro’s architecture, hybrid development model, integration capabilities, database support, security features, cross‑device compatibility, and industry use cases.
This article explores the rapid evolution of AI large models, their practical applications in intelligent customer service, text generation, digital humans, and healthcare, while addressing challenges such as compute costs, data quality, security, and model hallucinations, and offering expert strategies for successful enterprise adoption.
This recap of the MindSpore public course reviews LLaMA2 fundamentals, compares its Transformer structure, details upgrades from LLaMA1, explains core components like RMSNorm, RoPE, KV‑Cache, Grouped Multi‑Query Attention and SwiGLU, outlines industry LLM optimization methods, and previews the upcoming lecture on the Pengcheng Brain 200B model.
This article reviews the LLaMA large‑language‑model series, covering its background, architectural innovations such as Add&Norm, SwiGLU, and RoPE, a known reversal‑curse bug, and provides step‑by‑step MindSpore Transformers code for model configuration, inference, and pipeline usage while previewing the upcoming LLaMA‑2 session.
This article walks developers through Sermant’s architecture, explaining its plugin mechanism, class isolation, and how to build practical plugins with basic capabilities, unified dynamic configuration, and unified logging, while showcasing real‑world examples and tips for efficient development.
