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Config map handling

If we have jobs running on the EKS cluster, that maintains a config map with the owner reference of the pod. So, how cast ai evictor will handle this case? will it evict the pod to another node, and in that way config map can also be removed since it has owner reference of pod but I do not want config map to be removed.

I only want to run CAST AI for monitoring what IAM permission do i need?

As far as i understand in only need the following please confirm AmazonEC2ReadOnlyAccess IAMReadOnlyAccess

Does Cast AI supports Oracle Cloud

I am using Oracle Cloud - OKE, the manage Kubernetes engine. Since I did not find anything related to this, Can anyone help to get this answer. Thanks.

How does allocation groups works?

im running cast ai in aws eks cluster 1.23 i'm trying to create allocations groups based on teams. I have already selected by the namespace and a few tags like app.kubernetes.io/name=service-name or app.kubernetes.io/instance=service-name but it doesnt work so far. if i go to the workloads i can see the current cost of all services running and also in the namespace section i can see the current cost of the namespace. it's like there is no recognition about the tags i'm selecting. also i have already created a new tag for the deployment like "team": "some-team" and it's not working so far. can you lend me a hand with this?

Is it open source?

I wanted to know whether this platform is open source or not?

Does It work on SelfManaged Kubernetes Cluster ?

Hi, Will CASTAI also work on "self-managed kubernetes cluster", installed on AWS EC2 instances using kubeadm tool ? Or it supports only Cloud Provider Managed Clustes like EKS,AKS,GKE ? Please suggest. Thanks!

GKE Anthos cluster

Hi, is it possible to deploy cast.ai agent in Anthos cluster on AWS?

Inconsistent cost analysis

Hello. I have a "problem" that would be some workloads that have their CPU and Memory consumption data blank, so we don't have a cost calculation, there are several workloads in several different clusters. Our clusters are Azure Kubernetes Services. Initially I imagined that the cause was due to the low consumption of resources, some with CPU in 0.01 of use, but the memory always has a consumption that should already be relevant (20Mi, others with 60Mi, etc) for the cost calculations. I would like some guidance on what to evaluate to find out the reason for the cost analysis at 0. Thank you very much!