4f91113075
Automatic merge from submit-queue (batch tested with PRs 54826, 53576, 55591, 54946, 54825). If you want to cherry-pick this change to another branch, please follow the instructions <a href="https://github.com/kubernetes/community/blob/master/contributors/devel/cherry-picks.md">here</a>. Run nvidia-gpu device-plugin daemonset as an addon on GCE nodes that have nvidia GPUs attached - Instead of the old `Accelerators` feature that added `alpha.kubernetes.io/nvidia-gpu` resource, use the new `DevicePlugins` feature that adds vendor specific resources. (In case of nvidia GPUs it will add `nvidia.com/gpu` resource.) - Add node label to GCE nodes with accelerators attached. This node label is the same as what GKE attaches to node pools with accelerators attached. (For example, for nvidia-tesla-p100 GPU, the label would be `cloud.google.com/gke-accelerator=nvidia-tesla-p100`) This will help us target accelerator specific daemonsets etc. to these nodes. - Run nvidia-gpu device-plugin daemonset as an addon on GCE nodes that have nvidia GPUs attached. - Some minor documentation improvements in addon manager. **Release note**: ```release-note GCE nodes with NVIDIA GPUs attached now expose `nvidia.com/gpu` as a resource instead of `alpha.kubernetes.io/nvidia-gpu`. ``` /sig cluster-lifecycle /sig scheduling /area hw-accelerators https://github.com/kubernetes/features/issues/368 |
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|---|---|---|
| .. | ||
| addon-manager | ||
| calico-policy-controller | ||
| cluster-loadbalancing | ||
| cluster-monitoring | ||
| dashboard | ||
| device-plugins/nvidia-gpu | ||
| dns | ||
| dns-horizontal-autoscaler | ||
| etcd-empty-dir-cleanup | ||
| fluentd-elasticsearch | ||
| fluentd-gcp | ||
| ip-masq-agent | ||
| kube-proxy | ||
| metadata-proxy | ||
| metrics-server | ||
| node-problem-detector | ||
| python-image | ||
| rbac | ||
| registry | ||
| storage-class | ||
| BUILD | ||
| README.md | ||
Legacy Cluster add-ons
For more information on add-ons see the documentation.
Overview
Cluster add-ons are resources like Services and Deployments (with pods) that are shipped with the Kubernetes binaries and are considered an inherent part of the Kubernetes clusters.
There are currently two classes of add-ons:
- Add-ons that will be reconciled.
- Add-ons that will be created if they don't exist.
More details could be found in addon-manager/README.md.
Cooperating Horizontal / Vertical Auto-Scaling with "reconcile class addons"
"Reconcile" class addons will be periodically reconciled to the original state given
by the initial config. In order to make Horizontal / Vertical Auto-scaling functional,
the related fields in config should be left unset. More specifically, leave replicas
in ReplicationController / Deployment / ReplicaSet unset for Horizontal Scaling,
leave resources for container unset for Vertical Scaling. The periodic reconcile
won't clobbered these fields, hence they could be managed by Horizontal / Vertical
Auto-scaler.
Add-on naming
The suggested naming for most of the resources is <basename> (with no version number).
Though resources like Pod, ReplicationController and DaemonSet are exceptional.
It would be hard to update Pod because many fields in Pod are immutable. For
ReplicationController and DaemonSet, in-place update may not trigger the underlying
pods to be re-created. You probably need to change their names during update to trigger
a complete deletion and creation.