With the release of Karpenter v1 we have stable Prometheus metrics, but the Grafana dashboards are not that great and there are no open source alerts. Therefore, I decided to create a monitoring-mixin that provides a set of Prometheus rules and Grafana dashboards for Karpenter. This blog post will introduce the kubernetes-autoscaling-mixin - a set of Prometheus rules and Grafana dashboards for Kubernetes autoscaling, but we will only write about Karpenter monitoring in this blog post.

The kubernetes-mixin is a popular resource for providing excellent dashboards and alerts for monitoring Kubernetes clusters. However, there’s still not much in place yet for autoscaling tools like PDBs, HPAs/VPAs, KEDA, Karpenter, or the Cluster Autoscaler. These essential components are commonly deployed in Kubernetes environments but don't have standardized, open source monitoring solutions. This blog post aims to solve that by introducing the kubernetes-autoscaling-mixin - a set of Prometheus rules and Grafana dashboards for Kubernetes autoscaling. This mixin includes coverage for Kubernetes core components such as HPA and PDB, as well as additional components like the KEDA, VPA, Karpenter, and the Cluster Autoscaler, ensuring you have visibility into the autoscaling mechanisms that keep your cluster running efficiently.