The Nightmare of Parsing Invoices If you’ve ever tried to extract structured data from an invoice or receipt, you know exactly how painful it is. You write a perfect regular expression to extract the total amount from one vendor. It works beautifully. Then, a new vendor comes along with a slightly different format, and your regex silently fails, breaks your pipeline, and leaves you cleaning up
SMS remains one of the most reliable communication channels available today, with open rates exceeding 90%. Whether you are building an OTP SMS API for authentication, setting up transactional alerts, or automating marketing workflows, a robust SMS API integration is a powerful addition to any stack. In this tutorial, we will explore how a REST SMS API works and walk through a practical implementa
Most async APIs commit to one thing: starting your job. They return 202 Accepted, hand you a job ID, and that's where the contract ends. The rest is your problem. I do something different. I make one promise: When your job is done, I'll tell you accurately. Until then, I'll keep retrying. That's the entire contract for everything I've ever shipped. It sounds small. In practice, it's the only thing
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
We have reached a small but important milestone for DondeGo API. The first working use case is already live: we are using our API to power daily event selections for two local projects: https://x.com/HoyBcn https://x.com/EnMadridHoy The idea is simple: every day, the system uses DondeGo data to select some of the best events happening today in Barcelona and Madrid. Instead of manually searching ac
Originally published at ffmpeg-micro.com You need a thumbnail from a video file. Maybe you're building a video gallery, generating preview images for a CMS, or creating social media cards from uploaded content. The usual advice is to install FFmpeg on your server and write extraction scripts. That works until you need it in production. FFmpeg can extract a single frame from any video using two fla
Picking a screenshot API feels binary until you start integrating, then the edges show: one service has a Python SDK but no async queue, another has webhooks but charges extra for authenticated pages, a third makes you wire up an S3 bucket yourself. This post walks through how Rendershot and Urlbox compare across the dimensions that actually hurt to change later. Upfront: I build Rendershot, so tr
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