Architecture & Thinking
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Architecture & Thinking

🍭 Frontline tech director and chief architect at top-tier companies 🥝 Years of deep experience in internet, e‑commerce, social, and finance sectors 🌾 Committed to publishing high‑quality articles covering core technologies of leading internet firms, application architecture, and AI breakthroughs.

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Recent Articles

Latest from Architecture & Thinking

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Architecture & Thinking
Architecture & Thinking
Jun 18, 2025 · Cloud Native

How Outlier Detection in Service Mesh Boosts Service Reliability

This article explains the concept, implementation principles, configuration details, and common use cases of Outlier Detection in Service Meshes, showing how it isolates faulty instances to improve stability, performance, and automated operations in cloud‑native environments.

MicroservicesReliabilitycloud-native
0 likes · 6 min read
How Outlier Detection in Service Mesh Boosts Service Reliability
Architecture & Thinking
Architecture & Thinking
Jun 11, 2025 · Artificial Intelligence

Accelerate LLM App Development with Eino: A Go Framework Walkthrough

Eino is an open‑source Golang framework for building large‑model applications, offering reusable components, robust orchestration, clean APIs, best‑practice templates, and full‑cycle DevOps tools, with code examples for both Ollama and OpenAI modes, plus streaming and normal output options.

AI developmentFrameworkGo
0 likes · 10 min read
Accelerate LLM App Development with Eino: A Go Framework Walkthrough
Architecture & Thinking
Architecture & Thinking
May 25, 2025 · Artificial Intelligence

Which AI Workflow Platform Wins? A Deep Dive into n8n, Dify, and Coze

This article compares three leading AI workflow tools—n8n, Dify, and Coze—by examining their origins, technical architectures, core advantages, typical use cases, real‑world case studies, and future deployment trends, helping developers and businesses choose the right "intelligent assistant" for their needs.

AIAutomationLLM
0 likes · 11 min read
Which AI Workflow Platform Wins? A Deep Dive into n8n, Dify, and Coze
Architecture & Thinking
Architecture & Thinking
May 15, 2025 · Databases

Redis 8.0 Unveiled: New AGPLv3 License, Vector Search, JSON & More

Redis 8.0, released on May 1 2025, introduces a major license shift to AGPL‑v3, adds eight native data structures—including vector sets, JSON, and time‑series—enhances the query engine with up to 16× performance gains, improves scalability, security, and cloud‑native support, and provides extensive code examples for AI and real‑time analytics.

JSONPerformanceRedis
0 likes · 15 min read
Redis 8.0 Unveiled: New AGPLv3 License, Vector Search, JSON & More
Architecture & Thinking
Architecture & Thinking
Apr 30, 2025 · Artificial Intelligence

Unlocking AI Integration: How the Model Context Protocol (MCP) Bridges LLMs with External Tools

This article introduces the Model Context Protocol (MCP) released by Anthropic, explains its core features and client‑server architecture, walks through building a Go‑based MCP server and client with time, weather, and schedule tools, demonstrates testing with MCP Inspector, and highlights MCP's advantages and typical AI application scenarios.

AI integrationGoLLM
0 likes · 22 min read
Unlocking AI Integration: How the Model Context Protocol (MCP) Bridges LLMs with External Tools
Architecture & Thinking
Architecture & Thinking
Apr 22, 2025 · Backend Development

How to Tackle Cross‑Region C‑C Interactions in E‑Commerce Multi‑Active Architecture

This article explains the complexities of multi‑active, cross‑region architectures, defines C‑C (consumer‑consumer) interactions, and walks through an e‑commerce payment‑on‑behalf scenario, highlighting performance, data‑consistency, and fault‑tolerance challenges along with practical solutions.

C-C interactioncross-region consistencye-commerce
0 likes · 6 min read
How to Tackle Cross‑Region C‑C Interactions in E‑Commerce Multi‑Active Architecture
Architecture & Thinking
Architecture & Thinking
Apr 11, 2025 · Artificial Intelligence

How Google’s A2A Protocol and Anthropic’s MCP Are Shaping AI Agent Interoperability

The article explains Google’s newly open‑sourced Agent‑to‑Agent (A2A) protocol and Anthropic’s Model Context Protocol (MCP), detailing their core functions, real‑world use cases, and how they complement each other to enable seamless collaboration and integration among AI agents and external tools.

A2AAIAgent Interoperability
0 likes · 9 min read
How Google’s A2A Protocol and Anthropic’s MCP Are Shaping AI Agent Interoperability