k8s 1.14部署metrics server显示running但是报ServiceUnavailable错误

查看metrics server日志：
[root@master metrics-server-latest]# kubectl logs -f metrics-server-v0.3.6-b59d6b7cb-9ftdf -nkube-system metrics-server
I0514 03:15:00.325762       1 serving.go:312] Generated self-signed cert (apiserver.local.config/certificates/apiserver.crt, apiserver.local.config/certificates/apiserver.key)
I0514 03:15:04.924172       1 secure_serving.go:116] Serving securely on [::]:443
从日志看没有任何异常，但是执行[root@master ~]# kubectl top nodes时报如下错误，获取不到指标数据
Error from server (ServiceUnavailable): the server is currently unable to handle the request (get pods.metrics.k8s.io)

找了很久的资料也没解决，后来看一github上一个大牛最终解决了。具体链接https://github.com/kubernetes-sigs/metrics-server/issues/157
整个过程的配置文件如下(注意带#的说明是修改的部分)

metrics-server-deployment.yaml(完整代码见文章末尾)

      hostNetwork: true #增加containers:- name: metrics-serverimage: k8s.gcr.io/metrics-server-amd64:v0.3.6command:- /metrics-server- --metric-resolution=30s- --requestheader-allowed-names=aggregator#增加修改# These are needed for GKE, which doesn't support secure communication yet.# Remove these lines for non-GKE clusters, and when GKE supports token-based auth.#- --kubelet-port=10255#注释#- --deprecated-kubelet-completely-insecure=true#注释- --kubelet-insecure-tls#增加- --kubelet-preferred-address-types=InternalIP,Hostname,InternalDNS,ExternalDNS,ExternalIPports:- containerPort: 443name: httpsprotocol: TCP- name: metrics-server-nannyimage: k8s.gcr.io/addon-resizer:1.8.7resources:limits:cpu: 100mmemory: 300Mirequests:cpu: 5mmemory: 50Mienv:- name: MY_POD_NAMEvalueFrom:fieldRef:fieldPath: metadata.name- name: MY_POD_NAMESPACEvalueFrom:fieldRef:fieldPath: metadata.namespacevolumeMounts:- name: metrics-server-config-volumemountPath: /etc/configcommand:- /pod_nanny- --config-dir=/etc/config#- --cpu={{ base_metrics_server_cpu }}#注释- --cpu=80m#增加- --extra-cpu=0.5m#- --storage=5Gi#- --memory={{ base_metrics_server_memory }}#注释- --memory=100Mi#增加#- --extra-memory={{ metrics_server_memory_per_node }}Mi#注释- --extra-memory=100Mi#修改- --threshold=5- --deployment=metrics-server-v0.3.6- --container=metrics-server- --poll-period=300000- --estimator=exponential# Specifies the smallest cluster (defined in number of nodes)# resources will be scaled to.#- --minClusterSize=2#注释

resource-reader.yaml

apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:name: system:metrics-serverlabels:kubernetes.io/cluster-service: "true"addonmanager.kubernetes.io/mode: Reconcile
rules:
- apiGroups:- ""resources:- pods- nodes- nodes/stats#增加- namespaces

更新kubectl apply -f .后再次查看，正常了

[root@master manifests]# kubectl top nodes
NAME      CPU(cores)   CPU%   MEMORY(bytes)   MEMORY%
master    252m         6%     978Mi           12%
worker1   49m          1%     1442Mi          54%
worker2   47m          1%     1380Mi          51%
worker3   46m          1%     1232Mi          46%

metrics-server-deployment.yaml完整代码

apiVersion: v1
kind: ServiceAccount
metadata:name: metrics-servernamespace: kube-systemlabels:kubernetes.io/cluster-service: "true"addonmanager.kubernetes.io/mode: Reconcile
---
apiVersion: v1
kind: ConfigMap
metadata:name: metrics-server-confignamespace: kube-systemlabels:kubernetes.io/cluster-service: "true"addonmanager.kubernetes.io/mode: EnsureExists
data:NannyConfiguration: |-apiVersion: nannyconfig/v1alpha1kind: NannyConfiguration
---
apiVersion: apps/v1
kind: Deployment
metadata:name: metrics-server-v0.3.3namespace: kube-systemlabels:k8s-app: metrics-serverkubernetes.io/cluster-service: "true"addonmanager.kubernetes.io/mode: Reconcileversion: v0.3.3
spec:selector:matchLabels:k8s-app: metrics-serverversion: v0.3.3template:metadata:name: metrics-serverlabels:k8s-app: metrics-serverversion: v0.3.3annotations:scheduler.alpha.kubernetes.io/critical-pod: ''seccomp.security.alpha.kubernetes.io/pod: 'docker/default'spec:priorityClassName: system-cluster-criticalserviceAccountName: metrics-servercontainers:- name: metrics-serverimage: k8s.gcr.io/metrics-server-amd64:v0.3.3command:- /metrics-server- --metric-resolution=30s# These are needed for GKE, which doesn't support secure communication yet.# Remove these lines for non-GKE clusters, and when GKE supports token-based auth.#- --kubelet-port=10255#- --deprecated-kubelet-completely-insecure=true- --kubelet-insecure-tls- --kubelet-preferred-address-types=InternalIP#- --kubelet-preferred-address-types=InternalIP,Hostname,InternalDNS,ExternalDNS,ExternalIPports:- containerPort: 443name: httpsprotocol: TCP- name: metrics-server-nannyimage: k8s.gcr.io/addon-resizer:1.8.5resources:limits:cpu: 100mmemory: 300Mirequests:cpu: 5mmemory: 50Mienv:- name: MY_POD_NAMEvalueFrom:fieldRef:fieldPath: metadata.name- name: MY_POD_NAMESPACEvalueFrom:fieldRef:fieldPath: metadata.namespacevolumeMounts:- name: metrics-server-config-volumemountPath: /etc/configcommand:- /pod_nanny- --config-dir=/etc/config#- --cpu={{ base_metrics_server_cpu }}- --extra-cpu=0.5m#- --memory={{ base_metrics_server_memory }}#- --extra-memory={{ metrics_server_memory_per_node }}Mi- --threshold=5- --deployment=metrics-server-v0.3.3- --container=metrics-server- --poll-period=300000- --estimator=exponential# Specifies the smallest cluster (defined in number of nodes)# resources will be scaled to.- --minClusterSize=2volumes:- name: metrics-server-config-volumeconfigMap:name: metrics-server-configtolerations:- key: "CriticalAddonsOnly"operator: "Exists"

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k8s 1.14部署metrics server显示running但是报ServiceUnavailable错误

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