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Status Planned for future release
Workspace IBM Turbonomic ARM
Categories Container Platforms (K8s & OpenShift)
Created by Guest
Created on Jan 25, 2024

RELATED IDEAS

KubeTurbo helm chart - enable a toleration

Hello,

I have an enhancement request for the KubeTurbo helm chart, which is here: https://github.com/turbonomic/kubeturbo/tree/master/deploy/kubeturbo-operator/helm-charts/kubeturbo

The ask is to please add the ability to include a toleration in the deployment, using a value passed into the helm chart. That is, add an option in the values.yaml file that lets us pass a toleration or set of tolerations for the kubeturbo deployment.

Even better would be to add the ability to add options for both a toleration and an affinity.

This is about taints and tolerations: https://kubernetes.io/docs/concepts/scheduling-eviction/taint-and-toleration/

This is about affinity: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#node-affinity

The business reason we need this is that AKS clusters have at least two node pools as a best practice:

1. A system node pool which has the taint CriticalAddonsOnly=true:NoSchedule

    - Ideally KubeTurbo would be able to run on this node pool. This requires a toleration of that taint.

    - Info: https://learn.microsoft.com/en-us/azure/aks/use-system-pools?tabs=azure-cli

2. And a user node pool where end-user applications run

The system node pool is there to enable system utilities like KubeTurbo to run without competing with applications for resources.

 

Thank you

Idea priority Medium
  • Admin
    Murtuza Mukadam
    Reply
    |     Mar 13, 2024

    Hello Mary, thank you for submitting this Idea. We have discussed this with the team and will be considering this enhancement for a future release. We will reach out to you for more details.

  • Admin
    Jason Shaw
    Reply
    |     Jan 29, 2024

    Thanks Mary for taking the time to submit this Idea. Appreciate the specific details as well, this is very helpful, I will review this further with my team, thanks

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