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  Scaling & Updates: Horizontal Pod Autoscaler, Rolling Updates, and Rollbacks 📅 Published: May 2026 ⏱️ Estimated Reading Time: 18 minutes 🏷️ Tags: Kubernetes, HPA, Auto Scaling, Rolling Updates, Rollbacks, Deployments Introduction: The Scaling Challenge Applications experience varying levels of traffic. Your website might be quiet at 3 AM and overwhelmed at noon. Running the same number of Pods 24/7 wastes resources during quiet times and frustrates users during peak times. Kubernetes solves this with two powerful features: Horizontal Pod Autoscaler (HPA) : Automatically adjusts the number of Pods based on CPU, memory, or custom metrics Rolling Updates : Updates applications without downtime, replacing old Pods with new ones gradually This guide covers how to scale applications automatically and update them safely. Part 1: Horizontal Pod Autoscaler (HPA) What is the Horizontal Pod Autoscaler? The Horizontal Pod Autoscaler automatically scales the number of Pods in a Deploym...