Metrics Server Metrics API group/version Supported Kubernetes version
0.6x metrics.k8s.io/v1beta1 *1.19+
0.5x metrics.k8s.io/v1beta1 *1.8+
0.4x metrics.k8s.io/v1beta1 *1.8+
0.3x metrics.k8s.io/v1beta1 1.8-1.21
github：https://github.com/kubernetes-sigs/metrics-server
3. k8s集群安装部署metrics4. 创建components-v0.5.0.yaml文件，并将下面的脚本copy到文件中本次安装的是metrics0.5.0版本
下载地址：https://github.com/kubernetes-sigs/metrics-server/releases
docker镜像地址：docker pull cnskylee/metrics-server:v0.5.0
apiVersion: v1
kind: ServiceAccount
metadata:
labels:
k8s-app: metrics-server
name: metrics-server
namespace: kube-system
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
labels:
k8s-app: metrics-server
rbac.authorization.k8s.io/aggregate-to-admin: "true"
rbac.authorization.k8s.io/aggregate-to-edit: "true"
rbac.authorization.k8s.io/aggregate-to-view: "true"
name: system:aggregated-metrics-reader
rules:
- apiGroups:
- metrics.k8s.io
resources:
- pods
- nodes
verbs:
- get
- list
- watch
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
labels:
k8s-app: metrics-server
name: system:metrics-server
rules:
- apiGroups:
- ""
resources:
- pods
- nodes
- nodes/stats
- namespaces
- configmaps
verbs:
- get
- list
- watch
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
labels:
k8s-app: metrics-server
name: metrics-server-auth-reader
namespace: kube-system
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: Role
name: extension-apiserver-authentication-reader
subjects:
- kind: ServiceAccount
name: metrics-server
namespace: kube-system
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
labels:
k8s-app: metrics-server
name: metrics-server:system:auth-delegator
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: system:auth-delegator
subjects:
- kind: ServiceAccount
name: metrics-server
namespace: kube-system
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
labels:
k8s-app: metrics-server
name: system:metrics-server
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: system:metrics-server
subjects:
- kind: ServiceAccount
name: metrics-server
namespace: kube-system
---
apiVersion: v1
kind: Service
metadata:
labels:
k8s-app: metrics-server
name: metrics-server
namespace: kube-system
spec:
ports:
- name: https
port: 443
protocol: TCP
targetPort: https
selector:
k8s-app: metrics-server
---
apiVersion: apps/v1
kind: Deployment
metadata:
labels:
k8s-app: metrics-server
name: metrics-server
namespace: kube-system
spec:
selector:
matchLabels:
k8s-app: metrics-server
strategy:
rollingUpdate:
maxUnavailable: 0
template:
metadata:
labels:
k8s-app: metrics-server
spec:
containers:
- args:
- --cert-dir=/tmp
- --secure-port=4443
- --kubelet-preferred-address-types=InternalIP,ExternalIP,Hostname
- --kubelet-use-node-status-port
- --metric-resolution=15s
- --kubelet-insecure-tls
image: registry.cn-shenzhen.aliyuncs.com/zengfengjin/metrics-server:v0.5.0
imagePullPolicy: IfNotPresent
livenessProbe:
failureThreshold: 3
httpGet:
path: /livez
port: https
scheme: HTTPS
periodSeconds: 10
name: metrics-server
ports:
- containerPort: 4443
name: https
protocol: TCP
readinessProbe:
failureThreshold: 3
httpGet:
path: /readyz
port: https
scheme: HTTPS
initialDelaySeconds: 20
periodSeconds: 10
resources:
requests:
cpu: 100m
memory: 200Mi
securityContext:
readOnlyRootFilesystem: true
runAsNonRoot: true
runAsUser: 1000
volumeMounts:
- mountPath: /tmp
name: tmp-dir
nodeSelector:
kubernetes.io/os: linux
priorityClassName: system-cluster-critical
serviceAccountName: metrics-server
volumes:
- emptyDir: {}
name: tmp-dir
---
apiVersion: apiregistration.k8s.io/v1
kind: APIService
metadata:
labels:
k8s-app: metrics-server
name: v1beta1.metrics.k8s.io
spec:
group: metrics.k8s.io
groupPriorityMinimum: 100
insecureSkipTLSVerify: true
service:
name: metrics-server
namespace: kube-system
version: v1beta1
versionPriority: 100
需要注意的是端口和镜像地址。
5. 执行部署kubectl apply -f ./components-v0.5.0.yaml
4.查看metrics-server的pod运行状态
kubectl get pods -n kube-system| egrep 'NAME|metrics-server'
5. 查看运行日志
# kubectl logs metrics-server-56874cd58b-b2gj9 -n kube-system
I0418 09:49:44.461828 1 serving.go:341] Generated self-signed cert (/tmp/apiserver.crt, /tmp/apiserver.key)
I0418 09:49:45.252957 1 requestheader_controller.go:169] Starting RequestHeaderAuthRequestController
I0418 09:49:45.252972 1 shared_informer.go:240] Waiting for caches to sync for RequestHeaderAuthRequestController
I0418 09:49:45.252994 1 configmap_cafile_content.go:202] Starting client-ca::kube-system::extension-apiserver-authentication::client-ca-file
I0418 09:49:45.253002 1 shared_informer.go:240] Waiting for caches to sync for client-ca::kube-system::extension-apiserver-authentication::client-ca-file
I0418 09:49:45.253142 1 configmap_cafile_content.go:202] Starting client-ca::kube-system::extension-apiserver-authentication::requestheader-client-ca-file
I0418 09:49:45.253153 1 shared_informer.go:240] Waiting for caches to sync for client-ca::kube-system::extension-apiserver-authentication::requestheader-client-ca-file
I0418 09:49:45.254091 1 secure_serving.go:197] Serving securely on [::]:4443
I0418 09:49:45.254139 1 tlsconfig.go:240] Starting DynamicServingCertificateController
I0418 09:49:45.254342 1 dynamic_serving_content.go:130] Starting serving-cert::/tmp/apiserver.crt::/tmp/apiserver.key
I0418 09:49:45.353087 1 shared_informer.go:247] Caches are synced for RequestHeaderAuthRequestController
I0418 09:49:45.353087 1 shared_informer.go:247] Caches are synced for client-ca::kube-system::extension-apiserver-authentication::client-ca-file
I0418 09:49:45.354631 1 shared_informer.go:247] Caches are synced for client-ca::kube-system::extension-apiserver-authentication::requestheader-client-ca-file
6.测试kubectl top命令的使用
# kubectl top pods -n kube-system
NAME CPU(cores) MEMORY(bytes)
coredns-58cc8c89f4-jdfc7 4m 12Mi
coredns-58cc8c89f4-z8t26 5m 13Mi
etcd-k8s-master 9m 281Mi
kube-apiserver-k8s-master 22m 296Mi
查看节点资源：
# kubectl top nodes
NAME CPU(cores) CPU% MEMORY(bytes) MEMORY%
k8s-master 96m 2% 9330Mi 59%
k8s-node83 66m 1% 5829Mi 37%
k8s-node85 116m 2% 8555Mi 54%
查看默认空间pod资源：
# kubectl top pods
NAME CPU(cores) MEMORY(bytes)
nginx-6867cdf567-rprv9 0m 1Mi
到此这篇关于kubernetes(k8s)安装metrics-server实现资源使用情况监控的文章就介绍到这了,更多相关kubernetes安装metrics-server资源监控内容请搜索易知道(ezd.cc)以前的文章或继续浏览下面的相关文章希望大家以后多多支持易知道(ezd.cc)！
