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Show HN: Vergilant – alerts when your LLM API calls fail, stall, or burn money
实时监控LLM API调用，快速定位故障与浪费，守卫你的每一分钱。
Article URL: https://vergilant.dev Comments URL: https://news.ycombinator.com/item?id=49257728 Points: 1 # Comments: 0
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Woman pulled over twice after Flock-linked software connected her to homicide
智能车牌监控系统，实时扫描比对警方数据库，快速识别嫌疑车辆，但误报问题需谨慎。
https://local12.com/news/nation-world/flock-camera-error-lea... Comments URL: https://news.ycombinator.com/item?id=49261218 Points: 241 # Comments: 21…
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Tell HN: Amazonbot aggressively scraping my website and ignoring robots.txt
创建蜜罐链接，吸引爬虫或攻击者访问并实时告警，轻松识破忽略 robots.txt 的恶意外部请求。
At the beginning of the year I decided to set up a scraping and LLM honeypot on one of my personal websites which included a fake git repo with code c…
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Alert Grouping by DrDroid
智能分组告警，彻底消除噪音干扰，让运维团队专注于真正重要的警报
Reduce Your Alerts Noise Completely Discussion | Link
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On-Call Engineer Burnout: How to Build Sustainable Rotations
别再让值班毁掉工程师热情，这套可持续轮换方案帮你摆脱深夜告警噩梦
Most on-call rotations start with good intentions and end with someone updating their LinkedIn. The schedule ships as a shared Google Sheet, the team …
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20 Kubernetes Failures You Should Be Alerting On
凌晨三点集群故障无人知？这20个K8s告警场景，教你提前发现隐患，告别被动救火。
CrashLoopBackOff is the one everyone watches. Here are 20 Kubernetes failures — in logs and events — that actually deserve an alert. It's 3am and the …
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The Golden Signals: A Practical Implementation Guide
从50+服务实操经验提炼的黄金信号监控指南，教你正确设置告警阈值，避开常见误区。
Four Metrics to Rule Them All Google's SRE book introduced the four golden signals: Latency, Traffic, Errors, and Saturation. Simple concept, but I've…
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Everything Was Green. Production Was Failing.
监控指标一片绿，生产却悄悄挂了？拆解双跳入口架构下的隐藏短板，看看哪些观测盲区最容易坑人。
Originally published on my Hashnode blog. This version has been adapted for the DEV community. Confidentiality Notice: To protect intellectual propert…
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联合国报告警示：AI 驱动下，2030 年数据中心水电消耗将翻倍
联合国报告揭示AI驱动下数据中心能源与水资源消耗2030年将翻倍，堪比日本全国用电量，可持续发展面临严峻挑战。
IT之家 6 月 4 日消息，据路透社报道，联合国研究人员于当地时间周三表示，受人工智能需求激增驱动，数据中心规模持续扩张，预计到 2030 年，其耗电量与耗水量将增至目前的两倍。 联合国大学水、环境与健康研究所在一份报告中警示：倘若各国政府忽视人工智能日益攀升的环境成本，人工智能的快速落地普及还会…