Autoscaling Kubernetes Applications with KEDA
· ☕ 7 min read
1. HPA VS KEDA HPA also provides:
Elasticity based on custom metrics Scale to Zero Compared with KEDA, these are no longer disadvantages.
The real difference is that HPA can only scale using monitoring data, whereas KEDA can scale using many more data sources — queue messages, databases, Redis, and so on, including monitoring data as well.