The Silent Job Loss: Why Your Node.js SaaS Needs a Persistent Task Queue

567 tests. 93.13% coverage. Here's what they protect. A user pays. Your server receives the Stripe webhook. You fire off an async task to generate their report. Thirty seconds later you deploy a ho...

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The Silent Job Loss: Why Your Node.js SaaS Needs a Persistent Task Queue

Source: DEV Community

567 tests. 93.13% coverage. Here's what they protect. A user pays. Your server receives the Stripe webhook. You fire off an async task to generate their report. Thirty seconds later you deploy a hotfix. The report is never generated. The user is charged. Nobody gets an error. You find out three days later in a support ticket. This is not a theoretical failure mode. It is the default behavior of every Node.js backend that queues work in memory. Part 1: Memory Is Volatile The most common pattern for async work in Node.js looks like this: // User pays → webhook fires → kick off async work webhookHandler(event) { // Fire and forget generateReport(event.userId, event.reportId); return res.status(200).json({ received: true }); } async function generateReport(userId: string, reportId: string) { // This lives entirely in process memory const data = await fetchUserData(userId); const report = await callLLM(data); await saveReport(reportId, report); } This works perfectly in development. It fail

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