kubernetes(k8s)安装metrics-server实现资源使用情况监控方式详解
1. Metrics Server 与 kubenetes版本
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
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