Alibaba's official tech channel, featuring all of its technology innovations.
AliSQL 8.0 introduces a shared Nodes Cache and per‑transaction cache to speed up vector queries, implements RC‑level transaction isolation for read‑only and read‑write operations, and leverages SIMD‑based pre‑computation to dramatically improve high‑dimensional vector distance calculations and concurrency performance.
This article details a Redis bucket‑based inventory deduction architecture that guarantees strong consistency while eliminating over‑sell and under‑sell, boosting hot‑spot deduction TPS and stability through a merge‑commit process and comprehensive module design.
A detailed post‑mortem of a high‑priority fault on AMD servers shows how a split‑lock triggered by Python UDFs caused CPI spikes, CPU overload, and bus‑lock events, and explains the investigation steps, code analysis, reproduction tests, and mitigation measures taken to restore stability.
This article details the architecture and implementation of Tair KVCache Manager, an enterprise‑grade service that centralises KVCache metadata, decouples inference engines from storage, provides elastic scaling, multi‑tenant isolation, high availability, and performance‑optimised cache management for large‑scale LLM inference workloads.
This article explains the challenges of token explosion in long‑running AI agent dialogues and introduces AutoContextMemory, a Java component that automatically compresses, offloads, and summarizes conversation history to dramatically reduce token usage, speed up responses, and preserve critical information.
This article presents a complete end‑to‑end pipeline that automatically extracts, generalizes, incrementally updates, and vector‑syncs knowledge from diverse sources such as tickets, documents, and SQL code, turning the traditionally labor‑intensive knowledge‑base construction for agents into a low‑effort, continuously maintainable Python‑driven solution.
This article dissects a non‑typical slow SQL on a massive e‑commerce order table, explains how index structures, B+Tree height, index‑pushdown, and filesort affect performance, and presents a step‑by‑step SOP for analyzing, optimizing, and safely deploying new indexes to eliminate the slowdown.
Large language model inference faces memory pressure, but by externalizing KVCache with Mooncake and orchestrating roles via the Kubernetes‑native RoleBasedGroup (RBG), developers can achieve stable, high‑throughput, cost‑effective serving with seamless in‑place upgrades and topology‑aware performance.
This article explores the resurgence of command‑line AI coding tools, examining their product aesthetics rooted in Unix philosophy, the technical contrast between single‑agent and multi‑agent architectures, practical usage scenarios, context‑engineering techniques, and why a lightweight single‑agent core often outperforms more complex multi‑agent systems.
This article explains how SGLang’s hybrid model design combines Transformer attention with Mamba state‑space layers, introduces a dual‑pool memory architecture and elastic allocation, and presents specialized prefix‑cache and speculative‑decoding techniques that together enable efficient, scalable inference for long‑context large language models.
