今日已更新 189 条资讯 | 累计 41866 条内容
关于我们

标签:#t

找到 19938 篇相关文章

开发者

Alienware’s refurbished 16 Aurora is almost $200 off at Woot

Gaming laptop deals aren’t what they used to be (stares daggers at RAMageddon), which is why I consider Woot’s deal on a refurbished Alienware 16 Aurora gaming laptop with Nvidia’s RTX 5050 a pretty good deal at $927 for new Woot customers (with code WOOTALIEN used at checkout). It costs $1,029 for returning Woot shoppers, […]

2026-09-04 原文 →
AI 资讯

What to expect at Apple’s September 9th launch event

Apple's September 9th launch event could be one of its biggest in years. It will be Apple's first event since John Ternus took over as CEO on September 1st, stepping in for Tim Cook, and will likely feature the first models in Apple's iPhone 18 lineup. That could include the long-rumored foldable "iPhone Ultra," coming […]

2026-09-04 原文 →
AI 资讯

Airbnb Cuts Authentication Code by 60% with Server Driven Architecture

Airbnb redesigned its authentication architecture around server driven flows and policy based challenge selection. The new Flexible Authentication system reduced authentication related code by 60%, cut the web client bundle by 100 KB, improved successful authentication by 2.6%, reduced duplicate account creation by 27%, and lowered OTP costs by 11%. By Leela Kumili

2026-09-04 原文 →
AI 资讯

Fair Queue for a Shared Free AI Server: 5-Dev Postmortem

Five independent clients on one free AI server will produce 429s and a thundering herd unless you add a fair queue. We fixed it with a client-side asyncio queue that capped concurrency at two, prioritized interactive work, and dropped 429s from 23 to 0 on a 100-request mixed workload. Disclosure: This article was prepared as part of MonkeyCode's product outreach. What Failed When Five Developers Shared One Server We shared one MonkeyCode free server for code review and refactoring. Each of us ran our own scripts. Nobody coordinated. The first symptom was latency: requests that took two seconds started taking thirty. Then came the 429s. Then came the retries. Retries made everything worse. The server spent more time rejecting requests than answering them. The timeline compressed quickly: Day 1: two developers, no issues Day 3: four developers, latency doubles Day 5: five developers, 429s appear Day 6: retries cause a thundering herd Day 7: the team stops using the server The root cause was not the server. It was the absence of coordination. Five independent clients hammered one endpoint. Each client assumed it was the only user. The server had no way to prioritize. HTTP 429 is the standard “too many requests” signal; we treated it as a retry cue instead of backpressure. That is how a shared free endpoint turns into a retry storm. The deeper problem was architectural. Each of us built a separate integration. Each integration had its own retry logic. Under load those retries multiplied. The server received about five times the intended traffic, not because we needed five times the work, but because five clients were guessing independently. Contrast the two modes we actually ran: Uncoordinated: five scripts, five retry loops, unbounded in-flight calls, no shared view of queue depth. Coordinated: one process, one priority heap, two in-flight calls, explicit rejection when the queue is full. The first mode failed in a week. The second mode is what we shipped. How We Built

2026-09-04 原文 →