Pick by workload and stage. Use Karpenter for nodes, KEDA or
Kedify for pods, and HPA for CPU and memory.
Kedify: Enterprise layer on KEDA for APIs and AI. Adds HTTP/gRPC/predictive autoscaling, GPU/AI/LLM scalers, in-place vertical resize, and a multi-cluster dashboard with FIPS.
KEDA (community): Extends HPA with external metrics for event-driven scaling. Great for queues and streams when you’re early.
HPA (Horizontal Pod Autoscaler): Simple CPU and memory scaling in Kubernetes. Not event-aware without KEDA.
Karpenter: Optimizes nodes for capacity and packing. Complements KEDA/Kedify, which scale pods, and helps control fleet cost.