The ScaleOps Blog – Raz Goldenberg

The Kubernetes Horizontal Pod Autoscaler (HPA) adjusts the number of active pods in real time based on resource needs, ensuring efficient scaling for applications. This blog covers how HPA works, setup examples, best practices, and more, for a complete autoscaling strategy.

Effective resource management in Kubernetes environments is crucial for optimizing application performance and reducing operational overhead. Autoscaling solutions play a vital role in dynamically adjusting resource allocation based on workload demand. In this article, we’ll compare ScaleOps, Horizontal Pod Autoscaler (HPA), Vertical Pod Autoscaler (VPA), and Kubernetes-based Event-Driven Autoscaling (KEDA) to understand their differences and strengths.