在CentOS上管理Kubernetes(k8s)资源时,可以采用以下技巧来优化和确保集群的高效运行:
ResourceQuota
对象限制命名空间中的资源使用,防止某个命名空间过度消耗资源。apiVersion: v1
kind: ResourceQuota
metadata:
name: example-quota
namespace: example-namespace
spec:
hard:
requests.cpu: "1"
requests.memory: 1Gi
limits.cpu: "2"
limits.memory: 2Gi
resources.requests
和resources.limits
来控制Pod的资源使用。apiVersion: v1
kind: Pod
metadata:
name: example-pod
spec:
containers:
- name: example-container
image: nginx
resources:
requests:
memory: "64Mi"
cpu: "250m"
limits:
memory: "128Mi"
cpu: "500m"
apiVersion: autoscaling/v2beta2
kind: HorizontalPodAutoscaler
metadata:
name: example-hpa
namespace: example-namespace
spec:
scaleTargetRef:
apiVersion: apps/v1
kind: Deployment
name: example-deployment
minReplicas: 1
maxReplicas: 10
metrics:
- type: Resource
resource:
name: cpu
target:
type: Utilization
averageUtilization: 50
apiVersion: autoscaling.k8s.io/v1
kind: VerticalPodAutoscaler
metadata:
name: example-vpa
namespace: example-namespace
spec:
targetRef:
apiVersion: "apps/v1"
kind: Deployment
name: example-deployment
updatePolicy:
updateMode: "Auto"
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
name: example-monitor
labels:
app: example-app
spec:
selector:
matchLabels:
app: example-app
endpoints:
- port: metrics
通过以上技巧,可以有效地管理和优化CentOS上Kubernetes集群的资源使用,确保集群的高效运行。