Many teams surface [Kubecost](https://saaskart.co/software/kubecost) data in Grafana. How are you building cost dashboards that leadership actually reads?
At scale, the metrics footprint matters. How resource-hungry is [Kubecost](https://saaskart.co/software/kubecost) in big clusters, and how did you tune it?
Since [Kubecost](https://saaskart.co/software/kubecost) joined IBM, has anything changed for open-source users or pricing that you have noticed?
Catching a spike early saves money. How useful are [Kubecost](https://saaskart.co/software/kubecost) anomaly alerts, or do they generate noise?
Aggregating cost across clusters is valuable. How well does [Kubecost](https://saaskart.co/software/kubecost) handle multi-cluster, multi-cloud reporting?
Over-provisioned requests waste money. How actionable are [Kubecost](https://saaskart.co/software/kubecost) right-sizing recommendations, and did you automate a
The open-source OpenCost core underlies [Kubecost](https://saaskart.co/software/kubecost). At what point did teams need the commercial features and scale?
Making teams accountable for spend is cultural. How did rolling out [Kubecost](https://saaskart.co/software/kubecost) showback or chargeback change behavior?
Attributing shared costs fairly is hard. How accurate has [Kubecost](https://saaskart.co/software/kubecost) allocation been for your namespaces and teams?
[Kubecost](https://saaskart.co/software/kubecost) focuses on visibility; Cast AI leans automation. Are teams using both, and where does each save the most money
