Green Checks Lie: Backend Error Tracking for Cron Jobs, Workers, and Silent Web

<p>An inference server stopped generating tokens while more than 200 GiB of host memory remained available. Its health endpoint kept returning HTTP 200. The first visible

<h2> TL;DR </h2> <p>Use an error-tracking API plus a small Node.js polling worker when you need Slack or email alerts for recent unresolved errors and the tracker has no built-in

<p>Your API returns 200 OK. Great. But is it actually <em>working</em>?</p> <p>I learned this the hard way. Last month, our payment webhook was "up" — returning 200s all day — but

<p>Alert on a media experiment only when an unresolved error group crosses a cohort-specific decision boundary, and store enough state to distinguish a new failure from another

<p>Short answer: for Node.js uptime and health monitoring, use an API status endpoint for reachability, record business events for each checkout, publish metrics for

<p>TL;DR: For a gaming SaaS comparing an experiment across tenant cohorts, choose three-signal evidence over event trails alone. Metrics expose a change in rates or latency, error

<p>Email fixtures are easy to add to a CI pipeline and surprisingly hard to retire. A test creates a disposable inbox, starts a Kubernetes Job, waits for a verification message,

<p>Have you ever watched an LLM endpoint return a clean answer that belonged to a different prompt entirely? I spent forty-eight hours blaming sampling noise, temperature, and a