One large upload. One small container. Zero OOM errors. Here’s how.

When handling large file uploads, logs, or network streams in Node.js — memory can go out the window fast.

In this guide, I break down:

  1. 💥 Why big buffers kill containers (esp. in Docker)
  2. 📦 How back pressure actually works (and why it saves your app)
  3. 🔁 for await...of vs .on('data') — which one’s safer & smarter?
  4. ⚙️ Real-world client/server code using streams + highWaterMark
  5. 🐳 How to run it all in a memory-limited Docker container without crashes

If your Node.js apps touch big data — this is for you.

👉 Full walkthrough here:
https://javascript.plainenglish.io/how-to-control-memory-usage-when-handling-large-network-requests-in-node-js-and-avoid-oom-ed0971590dcb