慣性聚合 高效追讀感興趣之博客、新聞、科技資訊
閱原文 以慣性聚合開啟

推薦訂閱源

博客园 - 司徒正美
V
V2EX
T
Tailwind CSS Blog
有赞技术团队
有赞技术团队
aimingoo的专栏
aimingoo的专栏
Apple Machine Learning Research
Apple Machine Learning Research
IT之家
IT之家
Blog — PlanetScale
Blog — PlanetScale
A
About on SuperTechFans
月光博客
月光博客
T
The Blog of Author Tim Ferriss
宝玉的分享
宝玉的分享
Martin Fowler
Martin Fowler
博客园 - 聂微东
The GitHub Blog
The GitHub Blog
V
Visual Studio Blog
WordPress大学
WordPress大学
酷 壳 – CoolShell
酷 壳 – CoolShell
Engineering at Meta
Engineering at Meta
GbyAI
GbyAI

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant Common SOC 2 Failures (Real World) Stop Vibe-Checking Your AI App: A Practical Guide to Evals How to Use SonarQube and SonarScanner Locally to Level Up Your Code Quality Your Next To-Do App Is Dead — I Replaced Mine with an OpenClaw AI Sign a Nostr event in 60 lines of Python using coincurve — no nostr-sdk, no nbxplorer, no rust toolchain ITGC Audit Explained Like You’re in Big 4 Patch Tuesday abril 2026: Microsoft parcha 163 vulnerabilidades y un zero-day en SharePoint Stop scraping everything: a better way to track competitor price changes Listing on MCPize + the Official MCP Registry while routing payments OUTSIDE the marketplace — how I kept 100% of my x402 revenue Building an AI-Powered Risk Intelligence System Using Serverless Architecture Why We Ripped Function Overloading Out of Our AI Toolchain Testing AI-Generated Code: How to Actually Know If It Works SaaS Churn Is Killing Your Business. Here Is What to Do About It (Without a Support Team) The Speed of AI Is No Longer Linear - And Self-Improving Models Are Why How to Implement RBAC for MCP Tools: A Practical Guide for Engineering Teams From Standard Quote to Persuasive Proposal: AI Automation for Arborists I built a CLI that scaffolds complete multi-tenant SaaS apps Axios CVE-2025–62718: The Silent SSRF Bug That Could Be Hiding in Your Node.js App Right Now The dashboard that ended our friendship Data Pipelines Explained Simply (and How to Build Them with Python)
吾犹记吾等服务器小屋几欲扼杀产品发布之日
pretty ncube · 2026-05-24 · via DEV Community

吾辈所解之实问题

吾尝为系统总工程师,主建高可伸缩之服务器,用于在线寻宝之盛游。将发之际,性能测试骤现警兆,中流已滞。吾辈经月构架,撰码试系,然竟失关键之窒塞。非徒应求之增,实关乎配置之决,定服务器或畅展或顿蹶于初增之折点。吾等用自构之配置层,后知非适吾用。此层基于Java之框架,致内存分配与垃圾回收之负甚重。

初试何事(And Why It Failed)

吾初议,欲调Java虚拟机之设,更堆栈之量,细调垃圾收集之制,以优化既有之配置层。复试设缓存之术,以减配置层之负。然尽吾力,所增无几,犹遇滞涩延宕之患。乃用VisualVM之器,以察吾应用,辨其滞碍所在。察器所出,示配置层为内存分配之主,每秒平均分配五十万次。延宕之数尤骇,平均应时五百毫秒。吾知必当取更激之法,以解此困。

构建之决断

经反复研议,吾等决意以 Rust 自研之解,易 Java 配置层。此议非轻下,盖 Rust 学之艰,需时力甚巨。然吾等深信 Rust 之利,在内存安全与效能,当胜其弊。遂数周之内,以 Rust 重撰配置层,用 Tokio 框架以应异步,用 serde 框架以通序列。复以 Redis 数据库自设缓存之术,减配置层之负。

数语何言后

既布新制,乃行诸试,以度变之所效。其果惊世骇俗。配额之数减十倍,每秒平均五十万。迟滞之数亦显大进,每应时五十毫秒。剖析之文示,新制仅司配额百分之一,收清之累大减。复测CPU之用,因系统资源之用更效,减其二十。数显吾择Rust之决得偿,今信此器可畅展,应流之务无碍。

吾当异行

追忆往昔,吾当改数事。首,当多费时日,以通晓Java之框架及其底层之配置。亦当探他择,如用异种编程语或框架,方决用Rust。复,当于部署新配置层之前,详加测试验证。然吾自豪者,能识其弊,创巧解,及时部署,以应产品发之期。此经历教吾知审慎之性能分析、他择之必要、及冒险以获显著性能之价值。亦悟编程语与框架之择,于系统性能与可扩展性影响甚巨,于架构决策时,必当细虑之。