The Ultimate Guide For Kubernetes Autoscaling: HPA vs. VPA vs. Keda vs. CA vs. Karpenter
Briefly

Kubernetes (K8s) is designed to provide highly scalable applications in containerized environments, featuring strategies like manual and advanced auto-scaling to match demand.
The Horizontal Pod Autoscaling (HPA) feature enables automatic adjustment of pod replicas in a deployment, ensuring optimal resource use based on CPU or other metrics.
Kubernetes supports multiple scaling strategies such as KEDA and Karpenter that optimize resource allocation based on workload requirements and application demands.
Dynamic scaling in Kubernetes allows applications to maintain performance during fluctuating loads, providing developers with the flexibility needed in modern cloud-native environments.
Read at Medium
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