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chore: include suggestions from code review
Co-authored-by: Carlos Eduardo Arango Gutierrez <[email protected]>
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deployment/helm/node-feature-discovery/values.yaml

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# You may want to use the same value for `requests.memory` and `limits.memory`. The “requests” value affects scheduling to accommodate pods on nodes.
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# If there is a large difference between “requests” and “limits” and nodes experience memory pressure, the kernel may invoke
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# the OOM Killer, even if the memory does not exceed the “limits” threshold. This can cause unexpected pod evictions. Memory
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# cannot be compressed and once allocated to a pod, it can only be reclaimed by killing the pod. There is a great article by
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# Robusta that discusses this issue.
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# https://home.robusta.dev/blog/kubernetes-memory-limit
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# cannot be compressed and once allocated to a pod, it can only be reclaimed by killing the pod.
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# Natan Yellin 22/09/2022 https://home.robusta.dev/blog/kubernetes-memory-limit
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memory: 128Mi
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nodeSelector: {}

docs/deployment/helm.md

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| `master.service.type` | string | ClusterIP | NFD master service type. **NOTE**: this parameter is related to the deprecated gRPC API and will be removed with it in a future release |
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| `master.service.port` | integer | 8080 | NFD master service port. **NOTE**: this parameter is related to the deprecated gRPC API and will be removed with it in a future release |
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| `master.resources.limits` | dict | {cpu: 300m, memory: 4Gi} | NFD master pod [resources limits](https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/#requests-and-limits) |
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| `master.resources.requests`| dict | {cpu: 100m, memory: 128Mi} | NFD master pod [resources requests](https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/#requests-and-limits). You may want to use the same value for `requests.memory` and `limits.memory`. The “requests” value affects scheduling to accommodate pods on nodes. If there is a large difference between “requests” and “limits” and nodes experience memory pressure, the kernel may invoke the OOM Killer, even if the memory does not exceed the “limits” threshold. This can cause unexpected pod evictions. Memory cannot be compressed and once allocated to a pod, it can only be reclaimed by killing the pod. There is a great article by [Robusta](https://home.robusta.dev/blog/kubernetes-memory-limit) that discusses this issue.|
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| `master.resources.requests`| dict | {cpu: 100m, memory: 128Mi} | NFD master pod [resources requests](https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/#requests-and-limits). You may want to use the same value for `requests.memory` and `limits.memory`. The “requests” value affects scheduling to accommodate pods on nodes. If there is a large difference between “requests” and “limits” and nodes experience memory pressure, the kernel may invoke the OOM Killer, even if the memory does not exceed the “limits” threshold. This can cause unexpected pod evictions. Memory cannot be compressed and once allocated to a pod, it can only be reclaimed by killing the pod. [Natan Yellin 22/09/2022](https://home.robusta.dev/blog/kubernetes-memory-limit) that discusses this issue.|
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| `master.tolerations` | dict | _Scheduling to master node is disabled_ | NFD master pod [tolerations](https://kubernetes.io/docs/concepts/scheduling-eviction/taint-and-toleration/) |
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| `master.annotations` | dict | {} | NFD master pod [annotations](https://kubernetes.io/docs/concepts/overview/working-with-objects/annotations/) |
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| `master.affinity` | dict | | NFD master pod required [node affinity](https://kubernetes.io/docs/tasks/configure-pod-container/assign-pods-nodes-using-node-affinity/) |

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