在Kubernetes环境中优化Ubuntu节点的CPU利用率涉及多个方面,包括资源管理、调度优化、应用程序优化等。以下是一些建议:
resources:
requests:
cpu: "100m"
resources:
limits:
cpu: "500m"
apiVersion: autoscaling/v2beta2
kind: HorizontalPodAutoscaler
metadata:
name: my-app-hpa
spec:
scaleTargetRef:
apiVersion: apps/v1
kind: Deployment
name: my-app
minReplicas: 1
maxReplicas: 10
metrics:
- type: Resource
resource:
name: cpu
target:
type: Utilization
averageUtilization: 50
affinity:
nodeAffinity:
requiredDuringSchedulingIgnoredDuringExecution:
nodeSelectorTerms:
- matchExpressions:
- key: kubernetes.io/hostname
operator: In
values:
- node-1
- node-2
affinity:
podAffinity:
requiredDuringSchedulingIgnoredDuringExecution:
- labelSelector:
matchExpressions:
- key: app
operator: In
values:
- my-app
topologyKey: kubernetes.io/hostname
kube-scheduler
的配置文件中的--kube-scheduler-cpu-schedule-fraction
和--kube-scheduler-pod-max-scheduling-延迟
。通过以上方法,可以有效地优化Kubernetes环境中Ubuntu节点的CPU利用率,提高集群的整体性能和稳定性。
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