Kubernetes Autoscaling vs. Optimization: Understanding the Difference

In cloud-native environments, autoscaling and optimization are often confused, yet they serve different purposes. While Kubernetes offers several built-in autoscaling features, these are often mistaken for optimization. In reality, autoscaling is reactive, responding to changing demands, whereas optimization is proactive, focused on configuring workloads efficiently from the start. This article aims to clarify the distinction between these two approaches and why both are critical to managing Kubernetes environments effectively.

Read the article at: https://www.densify.com/blog/kubernetes-autoscaling-vs-optimization/