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Show HN: Fail the Build on Direct Service Calls
用构建失败强制服务隔离，杜绝越层调用，守护微服务架构边界。
Article URL: https://github.com/vijayagopalsb/isolation-tax Comments URL: https://news.ycombinator.com/item?id=49296427 Points: 1 # Comments: 0
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Preventing Cascading Failures: Circuit Breakers in Laravel 🛑
用 Laravel 实现熔断器，防止级联故障，保障微服务稳定性。
The Microservice Domino Effect Modern enterprise applications rarely operate in isolation. Your Laravel backend is likely communicating with a myriad …
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Solon WebSocket: Listener Interface Over Annotation Maze
Solon WebSocket用监听器接口替代注解迷宫，让Java WebSocket开发更简洁灵活
Solon's WebSocket support is one of those areas where the design diverges clearly from what most Java developers expect. If you've built WebSocket end…
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Why Your Next AI Agent Should Probably Be a Manager
别让AI代理当执行者，让它当管理者：用微服务思维拆分智能体，破解大提示词低效难题。
Why Your Next AI Agent Should Probably Be a Manager If you've built an AI agent that tries to do everything—answer support tickets, query databases, g…
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Running 8 Microservices Locally with One Command — A DevOps Engineer's Guide to Spring PetClinic
一条命令跑起8个微服务，Spring PetClinic实战，DevOps本地开发提速利器。
Introduction Spring PetClinic is a well-known sample application built with Spring Boot and Spring Cloud. What makes it interesting from a DevOps pers…
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A Multi-Dataset Benchmark for Evaluating LLM Agents in Microservice Failure Diagnosis
首个多数据集基准，专测LLM智能体在微服务故障诊断中的实战能力，AIOps必看。
arXiv:2606.29193v1 Announce Type: cross Abstract: LLM-based agents are reshaping microservice operations into AgentOps, where benchmarks are key to ev…
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Show HN: Build Your Own AI Agent CLI in 150 Lines
150行代码教你打造属于自己的AI代理命令行工具，轻量且实用。
I can't tell if HN is the right kind of place for this stuff anymore since people are so advanced in their use but I thought it was interesting to lev…
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RabbitMQ Explained: How It Works, How It Differs from Kafka, and Where It Fits in Real Systems
深入解析RabbitMQ工作原理，对比Kafka差异，并探讨在真实系统中的应用场景
Modern applications are no longer simple monoliths. Today’s systems handle millions of requests, asynchronous workflows, distributed microservices, an…
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Rust Was the Constraint: How We Discovered the Language Was Our Scaling Bottleneck
从Go和Rust的实战对比中，揭示Rust在特定高并发场景下反而成为扩展瓶颈的反直觉真相。
The Problem We Were Actually Solving Our treasure-hunt engine, running on Go 1.21 and a 3-layer micro-service stack, was supposed to scale to 50,000 c…
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Multi-Repo Microservice Changes Are a Coordination Problem. I Solved It With AI Agent Teams.
用AI代理团队解决多仓库微服务变更的协调难题，实战案例拆解。
A walkthrough of RepoOrch — an open-source Claude Code plugin that turns a multi-repo workspace into a deliberating team of AI specialists, with peer-…
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Operationalizing Document AI: A Microservice Architecture for OCR and LLM Pipelines in Production
首个系统化微服务架构实战，解决OCR与LLM管线生产部署难题，权威论文直击文档AI落地关键。
arXiv:2605.18818v1 Announce Type: cross Abstract: Academic research tends to focus on new models for document understanding creating a wide gap in the…
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Welcome Google Cloud Platform!
Google Cloud Platform正式加入Node.js基金会，Node.js运行时在App Engine进入Beta阶段，云原生微服务再添助力。
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TopoEvo: A Topology-Aware Self-Evolving Multi-Agent Framework for Root Cause Analysis in Microservices
拓扑感知多智能体框架自进化解决微服务根因分析，应对噪声、级联故障和拓扑漂移三大挑战
arXiv:2605.15611v1 Announce Type: new Abstract: Root cause analysis (RCA) in microservices is challenging due to (i) noisy and heterogeneous multimoda…
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STAR: A Stage-attributed Triage and Repair framework for RCA Agents in Microservices
LLM-based RCA代理易出错？STAR框架通过阶段分诊与修复提升微服务故障诊断可靠性。
arXiv:2605.15581v1 Announce Type: new Abstract: LLM-based root cause analysis (RCA) agents have recently emerged as a promising paradigm for incident …
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是微服务架构不香还是云不香？
技术圈总爱非黑即白，微服务 vs 单体又引热议。但冷静看Amazon案例，核心不是架构之争，而是场景选型。别让流量带偏独立思考。
这两天技术圈里热议的一件事就是Amazon的流媒体平台Prime Video在2023年3月22日发布了一篇技术博客《规模化Prime Video的音视频监控服... Read More Read More The post 是微服务架构不香还是云不香？ first appeared on 酷 壳 …