Node.js on Kubernetes: Unveiling Myths and Costs

Running Node.js on Kubernetes presents significant challenges due to fundamental mismatches between Node.js's lightweight, event-driven architecture and Kubernetes' resource allocation model. Common myths include believing autoscaling works seamlessly out-of-the-box, when in reality scaling delays can cause performance issues during traffic spikes. The rigid CPU/memory request/limit system forces teams to choose between costly overprovisioning or risky underprovisioning. To optimize Node.js in Kubernetes, teams should use smarter scaling signals like event loop lag, implement finer-grained resource strategies, reduce scaling reaction times, treat cost as a first-class metric, and recognize that Node.js requires different management approaches than traditional JVM applications.