c12s-kubespray/roles/dnsmasq/templates/dnsmasq-autoscaler.yml.j2

---
# Copyright 2016 The Kubernetes Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

apiVersion: extensions/v1beta1
kind: Deployment
metadata:
  name: dnsmasq-autoscaler
  namespace: kube-system
  labels:
    k8s-app: dnsmasq-autoscaler
    kubernetes.io/cluster-service: "true"
    addonmanager.kubernetes.io/mode: Reconcile
spec:
  template:
    metadata:
      labels:
        k8s-app: dnsmasq-autoscaler
      annotations:
        scheduler.alpha.kubernetes.io/critical-pod: ''
        scheduler.alpha.kubernetes.io/tolerations: '[{"key":"CriticalAddonsOnly", "operator":"Exists"}]'
    spec:
      serviceAccountName: dnsmasq
      tolerations:
        - effect: NoSchedule
          operator: Exists
      containers:
        - name: autoscaler
          image: "{{ dnsmasqautoscaler_image_repo }}:{{ dnsmasqautoscaler_image_tag }}"
          resources:
            requests:
              cpu: "20m"
              memory: "10Mi"
          command:
            - /cluster-proportional-autoscaler
            - --namespace=kube-system
            - --configmap=dnsmasq-autoscaler
            - --target=Deployment/dnsmasq
            # When cluster is using large nodes(with more cores), "coresPerReplica" should dominate.
            # If using small nodes, "nodesPerReplica" should dominate.
            - --default-params={"linear":{"nodesPerReplica":{{ dnsmasq_nodes_per_replica }},"preventSinglePointFailure":true}}
            - --logtostderr=true
            - --v={{ kube_log_level }}