Disclosure: I'm a senior backend tech lead and I run HostingGuru, where Telegram alerts ship as a built-in feature. This tutorial works on any platform — it's the manual version of what HostingGuru does for you. Useful even if you never become a customer. There's a hierarchy of where production alerts go, ranked by how likely you are to actually see them. Email → 14% open rate within an hour, less
很多团队的网络监控并不算差。 链路可用率有、接口带宽有、CPU 和内存有、异常告警也接进了企业微信、飞书和短信。但真正出了事，复盘时还是会出现同一句话：当时知道出问题了，但没有把现场留住。 这就是为什么越来越多团队开始关注网络回溯分析系统。 它解决的不是“能不能看到告警”这个初级问题，而是更关键的两个问题： 告警发生时，能不能快速还原到底是哪一段流量、哪一条路径、哪一种会话出了问题 事故结束后，能不能基于证据复盘，而不是靠聊天记录和印象拼凑过程 对云上和混合云场景来说，这件事尤其重要。因为链路更长、设备更多、路径更动态，很多故障不是“持续坏”，而是短时抖动、瞬时拥塞、路径切换、策略误命中。如果没有回溯能力，排障就很容易沦为赛后猜谜。 这篇文章不讲空洞概念，直接从一线运维视角拆清楚：云上网络回溯分析系统到底该怎么建，应该覆盖哪些能力，落地时最容易踩哪些坑。 先说结论： 传统监控擅长发现“异常
If you manage a remote team of 10+ people, laptop battery monitoring is one of those quiet problems you only notice when it's too late: a dev's MacBook dies on a client call, a sales rep's Dell shuts down mid-demo, or you suddenly need to replace 8 laptops in the same quarter because nobody saw it coming. This guide walks through how to track laptop battery health across a remote team — the metric
Building a Full-Stack Habit Tracker with Claude Code - Part 2: Polish, Testing & Deployment Taking the habit tracker from MVP to production-ready with categories, analytics, comprehensive testing, and Vercel deployment In [Part 1], we built a fully functional habit tracker MVP in about 6-8 hours using Claude Code as our AI pair programmer. We had: ✅ Basic CRUD operations for habits ✅ Date-based
Testing Firefox Extensions with Playwright: End-to-End Testing Guide Extension testing is one of those things everyone knows they should do but few actually do. I've been using Playwright for end-to-end tests on the Weather & Clock Dashboard extension and it's changed how I think about extension quality. Unit tests don't cover the biggest failure modes: Does the extension actually load in Firefo
The most basic concept in test doubles is the dummy. When testing a function, there are usually two kinds of input: Meaningful input Data that affects the result of the function. Dummy input Data that is required by the function, but does not affect the behavior we are testing. Below is an example of meaningful data vs dummy data. This is a calculateShipping function: function calculateShip
The Problem You install OpenClaw, configure it, and let it run in the background. But how do you actually know it's working? There's no built-in status page. No heartbeat alerts. No way to see if it's processing tasks or just sitting idle. I built a simple, self-hostable monitoring dashboard for OpenClaw agents: 🔗 OpenClaw Monitor on GitHub Tech Stack: Frontend: Vue 3 (Composition API) + Elemen