kind: Provisioner
Official Karpenter provisioner example
apiVersion: karpenter.sh/v1alpha5 kind: Provisioner
metadata: name: default spec: # References cloud provider-specific custom resource, see your cloud provider specific documentation providerRef: name: default # Provisioned nodes will have these taints # Taints may prevent pods from scheduling if they are not tolerated by the pod. taints: - key: example.com/special-taint effect: NoSchedule # Provisioned nodes will have these taints, but pods do not need to tolerate these taints to be provisioned by this # provisioner. These taints are expected to be temporary and some other entity (e.g. a DaemonSet) is responsible for # removing the taint after it has finished initializing the node. startupTaints: - key: example.com/another-taint effect: NoSchedule # Labels are arbitrary key-values that are applied to all nodes labels: billing-team: my-team # Requirements that constrain the parameters of provisioned nodes. # These requirements are combined with pod.spec.affinity.nodeAffinity rules. # Operators { In, NotIn } are supported to enable including or excluding values requirements: - key: "karpenter.k8s.aws/instance-category" operator: In values: ["c", "m", "r"] - key: "karpenter.k8s.aws/instance-cpu" operator: In values: ["4", "8", "16", "32"] - key: "karpenter.k8s.aws/instance-hypervisor" operator: In values: ["nitro"] - key: "topology.kubernetes.io/zone" operator: In values: ["us-west-2a", "us-west-2b"] - key: "kubernetes.io/arch" operator: In values: ["arm64", "amd64"] - key: "karpenter.sh/capacity-type" # If not included, the webhook for the AWS cloud provider will default to on-demand operator: In values: ["spot", "on-demand"] # Karpenter provides the ability to specify a few additional Kubelet args. # These are all optional and provide support for additional customization and use cases. kubeletConfiguration: clusterDNS: ["10.0.1.100"] containerRuntime: containerd systemReserved: cpu: 100m memory: 100Mi ephemeral-storage: 1Gi kubeReserved: cpu: 200m memory: 100Mi ephemeral-storage: 3Gi evictionHard: memory.available: 5% nodefs.available: 10% nodefs.inodesFree: 10% evictionSoft: memory.available: 500Mi nodefs.available: 15% nodefs.inodesFree: 15% evictionSoftGracePeriod: memory.available: 1m nodefs.available: 1m30s nodefs.inodesFree: 2m evictionMaxPodGracePeriod: 3m podsPerCore: 2 maxPods: 20 # Resource limits constrain the total size of the cluster. # Limits prevent Karpenter from creating new instances once the limit is exceeded. limits: resources: cpu: "1000" memory: 1000Gi # Enables consolidation which attempts to reduce cluster cost by both removing un-needed nodes and down-sizing those # that can't be removed. Mutually exclusive with the ttlSecondsAfterEmpty parameter. consolidation: enabled: true # If omitted, the feature is disabled and nodes will never expire. If set to less time than it requires for a node # to become ready, the node may expire before any pods successfully start. ttlSecondsUntilExpired: 2592000 # 30 Days = 60 * 60 * 24 * 30 Seconds; # If omitted, the feature is disabled, nodes will never scale down due to low utilization ttlSecondsAfterEmpty: 30 # Priority given to the provisioner when the scheduler considers which provisioner # to select. Higher weights indicate higher priority when comparing provisioners. # Specifying no weight is equivalent to specifying a weight of 0. weight: 10
Related
See also
kind: Provisioner, kind: AWSNodeTemplate
kubeclt [ get | describe | patch ] provisioner
- Kubernetes provisioner:
kubernetes.io/gce-pd, kubernetes.io/aws-ebs, pd.csi.storage.gke.io, k8s.io/minikube-hostpath
,ExternalProvisioning
,kubectl get provisioner, kubectl describe provisioner, kubectl patch provisioner
- Karpenter,
karpenter.sh, provisioners.karpenter.sh
, Karpenter releases, best practices,karpenter.sh/capacity-type, karpenter.sh/discovery
,kind: Provisioner, kind: AWSNodeTemplate
,kubectl provisioner
,TopologyKey, FailedDraining, Evict, DisruptionBlocked
, Karpenter logs,controller., ttlSecondsUntilExpired
, KEDA, NodePools, Kind: NodePool, Workload Consolidation, Disruption controls
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