The Myths (and Costs) of Running Node.js on Kubernetes

Kubernetes is often sold as the one-size-fits-all platform for scaling applications. But when it comes to Node.js, the reality looks very different: sluggish autoscaling, bloated cloud bills, and resource models that don’t align with Node’s event-driven nature.

In this episode of The Node (& More) Banter, we cut through the hype and explore why Kubernetes isn’t always the perfect fit for Node.js workloads—and what teams can do about it.

We’ll dig into:

✅ Why autoscaling lag hurts bursty Node.js traffic

✅ How CPU/memory limits clash with Node’s async model

✅ The hidden costs of “elastic” scaling in Kubernetes

✅ Why treating Node.js like Java leads to waste and inefficiency

✅ Smarter strategies for scaling Node.js effectively in the cloud

If you’ve ever wondered why your Kubernetes setup feels slow, expensive, or unpredictable with Node.js, this conversation will help you rethink the defaults—and save both performance and money.