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Latest from DeWu Technology

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DeWu Technology

May 14, 2025 · Operations

How Automated Code Impact Analysis Boosts System Stability and Release Confidence

This article explains the need for automated, module‑level code impact analysis in large‑scale projects, outlines a multi‑step technical solution—including dependency‑graph construction, change detection, CI/CD integration, caching and optimization—and demonstrates how it improves testing coverage, system complexity assessment, and overall stability while reducing manual effort.

Backend Developmentautomationci/cd

0 likes · 13 min read

How Automated Code Impact Analysis Boosts System Stability and Release Confidence

DeWu Technology

May 12, 2025 · Backend Development

How DSearch Evolved: From RCU‑Based 1.0 Indexes to Async Graph‑Powered 3.0

This article provides a detailed technical walkthrough of the DSearch search engine evolution, covering the RCU‑based 1.0 index architecture, the segment‑merge enhancements in 2.0, and the async non‑blocking graph framework introduced in 3.0, together with performance benchmarks and implementation details.

Performance Optimizationasync graphbackend

0 likes · 18 min read

How DSearch Evolved: From RCU‑Based 1.0 Indexes to Async Graph‑Powered 3.0

DeWu Technology

May 9, 2025 · Artificial Intelligence

Growth Story of a Technical Lead: Building a One‑Stop Large‑Model Training and Inference Platform at Dewu

Meng, a former Tencent and Alibaba engineer, led Dewu’s one‑stop large‑model training and inference platform, cutting integration costs, creating a shared GPU pool and CI/CD pipeline, building a Milvus vector‑database, and driving self‑directed learning that boosted business value, user experience, and set a roadmap for future RAG and cloud‑native optimizations.

AI PlatformMLOpsVector Database

0 likes · 18 min read

Growth Story of a Technical Lead: Building a One‑Stop Large‑Model Training and Inference Platform at Dewu

DeWu Technology

May 7, 2025 · Backend Development

Building and Using a Model Context Protocol (MCP) Server with Spring AI

The article explains Anthropic’s Model Context Protocol, outlines its architecture, and provides a step‑by‑step guide to creating a Spring AI‑based MCP server in Java—including adding the starter, defining @Tool‑annotated services, packaging the jar, configuring the Cline plugin, and demonstrating advanced tools such as Elasticsearch queries.

AI integrationJavaMCP

0 likes · 10 min read

Building and Using a Model Context Protocol (MCP) Server with Spring AI

DeWu Technology

Apr 28, 2025 · Databases

GreptimeDB Distributed Architecture, Transparent Caching, and Flow‑Based Real‑Time Analytics

GreptimeDB solves front‑end observability challenges with a distributed architecture (frontend, datanode, flownode, metasrv), transparent two‑level caching, elastic scaling, and an SQL‑based flow engine for real‑time multi‑granularity aggregation and approximate counting, delivering millisecond query latency and cost‑effective storage.

GreptimeDBHyperLogLogSQL

0 likes · 12 min read

GreptimeDB Distributed Architecture, Transparent Caching, and Flow‑Based Real‑Time Analytics

DeWu Technology

Apr 23, 2025 · Backend Development

Design and Implementation of a Business Parameter Configuration Center

The article presents the Business Parameter Configuration Center (BPCC), a declarative platform that automatically generates front‑end pages and corresponding CRUD services, detailing its layered architecture, core concepts such as elements, dimensions, parameters and schemes, SDK query flow, priority rules, multi‑selection handling, import/export workflow, and outlining scenarios where BPCC is unsuitable.

Low‑codeSDKarchitecture

0 likes · 15 min read

Design and Implementation of a Business Parameter Configuration Center

DeWu Technology

Apr 21, 2025 · Backend Development

Design and Evolution of a Unified Exchange Mall Middleware Platform

The unified exchange mall middleware platform consolidates disparate points‑redemption and lottery flows into a four‑layer architecture—business, gameplay templates, domain models, and downstream services—offering standardized APIs, dynamic RPC routing, Redis‑based inventory control, anti‑fraud safeguards, and built‑in monitoring, thereby cutting development costs, enhancing maintainability, and ensuring system stability.

GolangMicroservicesMonitoring

0 likes · 18 min read

Design and Evolution of a Unified Exchange Mall Middleware Platform

DeWu Technology

Apr 16, 2025 · Databases

DGraph 2024 Architecture Upgrade and Performance Optimizations

In 2024 DGraph upgraded its architecture by splitting single clusters into multiple business‑specific clusters, adopting a sharded active‑active topology, and replacing its 1:N thread‑pool with an M:N grouped execution model that uses atomic scheduling, while parallelizing FlatBuffer encoding, streamlining SDK conversions, adding DAG debugging, timeline analysis, and dynamic sub‑graph templates to boost scalability, stability and developer productivity.

Backend EngineeringDAGPerformance Optimization

0 likes · 13 min read

DGraph 2024 Architecture Upgrade and Performance Optimizations

DeWu Technology

Apr 14, 2025 · Artificial Intelligence

Overview of Recent Large Language Model Quantization Techniques

The article surveys modern post‑training quantization approaches for large language models, detailing weight‑only and activation‑aware methods such as GPTQ, AWQ, HQQ, SmoothQuant, QuIP, QuaRot, SpinQuant, QQQ, QoQ, and FP8, and compares their precision levels, algorithmic steps, accuracy‑throughput trade‑offs, and implementation considerations for efficient inference.

AILLMModel Compression

0 likes · 32 min read

Overview of Recent Large Language Model Quantization Techniques

DeWu Technology

Apr 9, 2025 · Databases

Understanding Elasticsearch Indexes, Mappings, and Shard Architecture

The article explains Elasticsearch indexes as logical namespaces for JSON documents, details how mappings define immutable field types such as text, keyword, and numeric, describes primary and replica shard roles, and offers practical guidance on alias usage, shard sizing, replica settings, and performance optimizations to ensure cluster stability.

ElasticsearchMappingPerformance

0 likes · 20 min read

Understanding Elasticsearch Indexes, Mappings, and Shard Architecture