karmada/artifacts/deploy/karmada-scheduler-estimator...

77 lines
2.4 KiB
YAML

apiVersion: apps/v1
kind: Deployment
metadata:
name: karmada-scheduler-estimator-{{member_cluster_name}}
namespace: karmada-system
labels:
cluster: {{member_cluster_name}}
spec:
replicas: 2
selector:
matchLabels:
app: karmada-scheduler-estimator-{{member_cluster_name}}
template:
metadata:
labels:
app: karmada-scheduler-estimator-{{member_cluster_name}}
spec:
automountServiceAccountToken: false
tolerations:
- key: node-role.kubernetes.io/master
operator: Exists
containers:
- name: karmada-scheduler-estimator
image: docker.io/karmada/karmada-scheduler-estimator:latest
imagePullPolicy: IfNotPresent
command:
- /bin/karmada-scheduler-estimator
- --kubeconfig=/etc/{{member_cluster_name}}-kubeconfig
- --cluster-name={{member_cluster_name}}
- --grpc-auth-cert-file=/etc/karmada/pki/server/tls.crt
- --grpc-auth-key-file=/etc/karmada/pki/server/tls.key
- --grpc-client-ca-file=/etc/karmada/pki/server/ca.crt
- --metrics-bind-address=0.0.0.0:8080
- --health-probe-bind-address=0.0.0.0:10351
livenessProbe:
httpGet:
path: /healthz
port: 10351
scheme: HTTP
failureThreshold: 3
initialDelaySeconds: 15
periodSeconds: 15
timeoutSeconds: 5
ports:
- containerPort: 8080
name: metrics
protocol: TCP
volumeMounts:
- name: server-cert
mountPath: /etc/karmada/pki/server
readOnly: true
- name: member-kubeconfig
subPath: {{member_cluster_name}}-kubeconfig
mountPath: /etc/{{member_cluster_name}}-kubeconfig
volumes:
- name: server-cert
secret:
secretName: karmada-metrics-adapter-cert
- name: member-kubeconfig
secret:
secretName: {{member_cluster_name}}-kubeconfig
---
apiVersion: v1
kind: Service
metadata:
name: karmada-scheduler-estimator-{{member_cluster_name}}
namespace: karmada-system
labels:
cluster: {{member_cluster_name}}
spec:
selector:
app: karmada-scheduler-estimator-{{member_cluster_name}}
ports:
- protocol: TCP
port: 10352
targetPort: 10352