K8S使用dashboard管理集群@慕课网原创_慕课网

今年3月份在公司的内部k8s培训会上，开发同事表示使用dashboard的可以满足日常开发需求，例如查看pod的日志，执行exec指令，查看pod的运行状态等，但对basic认证的权限控制表示担忧。

之前介绍过在1.5.2版本上部署dashboard服务，在1.9.1版本离线部署中，也介绍过dashboard服务的RBAC配置和使用技巧。因此本文将在前文基础上完善Heapster的整合与利用token对用户权限进行控制。

dashboard的特点主要如下：

1、能够直观的看到rc、deployment、pod、services等k8s组件的运行情况和日志信息。

2、结合heapster和influxdb后，dashboard的监控图表上可以看到pod的cpu和内存消耗情况。

Heapster介绍

1、Heapster是容器集群监控和性能分析工具，支持Kubernetes和CoreOS。

2、K8S集群的HPA功能的实现就依赖于这些metric数据，HPA将Heapster作为Resource Metrics API，向其获取metric。

3、Kubernetes有个cAdvisor监控（在1.9版本里面，cAdvisor已经和kubelet整合在一起）。

在每个kubernetes Node上都会运行cAdvisor，它会收集本机以及容器的监控数据(cpu,memory,filesystem,network,uptime)。Heapster是一个收集者，Heapster可以收集Node节点上的cAdvisor数据，将每个Node上的cAdvisor的数据进行汇总，还可以按照kubernetes的资源类型来集合资源，比如Pod、Namespace，可以分别获取它们的CPU、内存、网络和磁盘的metric。默认的metric数据聚合时间间隔是1分钟。还可以把数据导入到第三方工具(如InfluxDB)。

Influxdb数据库介绍

2、Influxdb数据库的相关知识介绍，可参考文档：https://www.jianshu.com/p/d2935e99006e

2、如果对Heapster收集到的metric数据没有持久化的需求，可以不配置Influxdb数据库

3、本文Influxdb数据库的存储采用emptydir的方式实现，实际使用过程中，可以选择吧Influxdb数据库部署在k8s集群外部，或者使用其他存储方案。

4、如果有需要的话，还可以集成一个grafana做web展示。Grafana配置可参考文档：https://blog.51cto.com/ylw6006/2084403

一、获取相关镜像

需要科学上网方式获取到dashboard相关的镜像文件，仓库可纳入本地仓库统一管理

# cat /etc/systemd/system/docker.service.d/http-proxy.conf

[Service]

Environment="HTTP_PROXY=http://192.168.115.2:1080"

# systemctl daemon-reload

# systemctl restart docker

# docker pull k8s.gcr.io/kubernetes-dashboard-amd64:v1.8.3

# docker pull k8s.gcr.io/heapster-influxdb-amd64:v1.3.3

# docker pull k8s.gcr.io/heapster-amd64:v1.4.2

K8S使用dashboard管理集群

二、准备配置文件

1、k8s-dashborad-sa.yaml文件，secrct和serviceaccount配置

# cat k8s-dashborad-sa.yaml

# ------------------- Dashboard Secret ------------------- #

apiVersion: v1

kind: Secret

metadata:

labels:

k8s-app: kubernetes-dashboard

namespace: kube-system

type: Opaque

---

# ------------------- Dashboard Service Account ------------------- #

apiVersion: v1

kind: ServiceAccount

metadata:

labels:

k8s-app: kubernetes-dashboard

namespace: kube-system

2、k8s-dashborad-rbac.yaml文件，配置 Role和Role Binding

# cat k8s-dashborad-rbac.yaml

# ------------------- Dashboard Role & Role Binding ------------------- #

kind: Role

apiVersion: rbac.authorization.k8s.io/v1

metadata:

namespace: kube-system

rules:

# Allow Dashboard to create 'kubernetes-dashboard-key-holder' secret.

- apiGroups: [""]

resources: ["secrets"]

verbs: ["create"]

# Allow Dashboard to create 'kubernetes-dashboard-settings' config map.

- apiGroups: [""]

resources: ["configmaps"]

verbs: ["create"]

# Allow Dashboard to get, update and delete Dashboard exclusive secrets.

- apiGroups: [""]

resources: ["secrets"]

resourceNames: ["kubernetes-dashboard-key-holder", "kubernetes-dashboard-certs"]

verbs: ["get", "update", "delete"]

# Allow Dashboard to get and update 'kubernetes-dashboard-settings' config map.

- apiGroups: [""]

resources: ["configmaps"]

resourceNames: ["kubernetes-dashboard-settings"]

verbs: ["get", "update"]

# Allow Dashboard to get metrics from heapster.

- apiGroups: [""]

resources: ["services"]

resourceNames: ["heapster"]

verbs: ["proxy"]

- apiGroups: [""]

resources: ["services/proxy"]

resourceNames: ["heapster", "http:heapster:", "https:heapster:"]

verbs: ["get"]

---

apiVersion: rbac.authorization.k8s.io/v1

kind: RoleBinding

metadata:

namespace: kube-system

roleRef:

apiGroup: rbac.authorization.k8s.io

kind: Role

subjects:

- kind: ServiceAccount

namespace: kube-system

3、k8s-dashborad-deployment.yaml配置文件，定义创建pod的模板和副本数

# cat k8s-dashborad-deployment.yaml

# ------------------- Dashboard Deployment ------------------- #

kind: Deployment

apiVersion: apps/v1beta2

metadata:

labels:

k8s-app: kubernetes-dashboard

namespace: kube-system

spec:

replicas: 1

revisionHistoryLimit: 10

selector:

matchLabels:

k8s-app: kubernetes-dashboard

template:

metadata:

labels:

k8s-app: kubernetes-dashboard

spec:

containers:

- name: kubernetes-dashboard

image: k8s.gcr.io/kubernetes-dashboard-amd64:v1.8.3

ports:

- containerPort: 8443

protocol: TCP

args:

- --auto-generate-certificates

# Uncomment the following line to manually specify Kubernetes API server Host

# If not specified, Dashboard will attempt to auto discover the API server and connect

# to it. Uncomment only if the default does not work.

# - --apiserver-host=http://my-address:port

volumeMounts:

- name: kubernetes-dashboard-certs

mountPath: /certs

# Create on-disk volume to store exec logs

- mountPath: /tmp

livenessProbe:

httpGet:

scheme: HTTPS

path: /

port: 8443

initialDelaySeconds: 30

timeoutSeconds: 30

volumes:

- name: kubernetes-dashboard-certs

secret:

secretName: kubernetes-dashboard-certs

- name: tmp-volume

emptyDir: {}

serviceAccountName: kubernetes-dashboard

# Comment the following tolerations if Dashboard must not be deployed on master

tolerations:

- key: node-role.kubernetes.io/master

effect: NoSchedule

4、 k8s-dashborad-service.yaml配置文件，定义service

# cat k8s-dashborad-service.yaml

# ------------------- Dashboard Service ------------------- #

kind: Service

apiVersion: v1

metadata:

labels:

k8s-app: kubernetes-dashboard

namespace: kube-system

spec:

ports:

- port: 443

targetPort: 8443

nodePort: 8490

type: NodePort

selector:

k8s-app: kubernetes-dashboard

三、通过配置文件创建dashboard

# kubectl create -f .

# kubectl get pod,deployment,svc -n kube-system

K8S使用dashboard管理集群

四、配置使用basic认证方式

默认情况下只支持kubeconfig和令牌认证

K8S使用dashboard管理集群

# echo 'admin,admin,1' > /etc/kubernetes/basic_auth_file

# grep 'auth' /usr/lib/systemd/system/kube-apiserver.service

--authorization-mode=Node,RBAC \

--runtime-config=rbac.authorization.k8s.io/v1alpha1 \

--enable-bootstrap-token-auth=true \

--token-auth-file=/etc/kubernetes/token.csv \

--basic-auth-file=/etc/kubernetes/basic_auth_file \

# grep ‘basic’ k8s-dashborad-deployment.yaml （配置在args下面）

- --authentication-mode=basic

# systemctl daemon-reload

# systemctl restart kube-apiserver

# kubectl apply -f k8s-dashborad-deployment.yaml

将admin用户和cluter-admin role进行角色绑定

# curl --insecure https://vm1:6443 -basic -u admin:admin

# kubectl create clusterrolebinding \

--clusterrole=cluster-admin --user=admin

# curl --insecure https://vm1:6443 -basic -u admin:admin

K8S使用dashboard管理集群

五、访问测试

K8S使用dashboard管理集群

六、整合heapster和influxdb

在没有配置heapster和influxdb的情况下，pod的metric信息是无法获取到的，而早前版本K8S的HPA特性依赖的metric数据来源恰巧就是heapster和influxdb。

1、准备yaml配置文件

# cat heapster-sa.yaml

apiVersion: v1

kind: ServiceAccount

metadata:

namespace: kube-system

# cat heapster-rbac.yaml

kind: ClusterRoleBinding

apiVersion: rbac.authorization.k8s.io/v1beta1

metadata:

roleRef:

apiGroup: rbac.authorization.k8s.io

kind: ClusterRole

subjects:

- kind: ServiceAccount

namespace: kube-system

# cat heapster-deployment.yaml

apiVersion: extensions/v1beta1

kind: Deployment

metadata:

namespace: kube-system

spec:

replicas: 1

template:

metadata:

labels:

task: monitoring

k8s-app: heapster

spec:

serviceAccountName: heapster

containers:

- name: heapster

image: k8s.gcr.io/heapster-amd64:v1.4.2

imagePullPolicy: IfNotPresent

command:

- /heapster

- --source=kubernetes:https://kubernetes.default

- --sink=influxdb:http://monitoring-influxdb.kube-system.svc:8086

# cat heapster-service.yaml

apiVersion: v1

kind: Service

metadata:

labels:

task: monitoring

kubernetes.io/cluster-service: 'true'

kubernetes.io/name: Heapster

namespace: kube-system

spec:

ports:

- port: 80

targetPort: 8082

selector:

k8s-app: heapster

# cat influxdb-deployment.yaml

apiVersion: extensions/v1beta1

kind: Deployment

metadata:

namespace: kube-system

spec:

replicas: 1

template:

metadata:

labels:

task: monitoring

k8s-app: influxdb

spec:

containers:

- name: influxdb

image: k8s.gcr.io/heapster-influxdb-amd64:v1.3.3

volumeMounts:

- mountPath: /data

volumes:

- name: influxdb-storage

emptyDir: {}

# cat influxdb-service.yaml

apiVersion: v1

kind: Service

metadata:

labels:

task: monitoring

kubernetes.io/cluster-service: 'true'

kubernetes.io/name: monitoring-influxdb

namespace: kube-system

spec:

ports:

- port: 8086

targetPort: 8086

selector:

k8s-app: influxdb

K8S使用dashboard管理集群

获取heapster中的获取支持的metrics

# kubectl run -i --tty curl --namespace=kube-system \

--image=registry.59iedu.com/webwurst/curl-utils /bin/sh

# curl http://heapster/api/v1/model/metrics

# curl http://heapster/api/v1/model/debug/allkeys

K8S使用dashboard管理集群

# kubectl get node

# kubectl top node

K8S使用dashboard管理集群

当heapster和influxdb pod都正常运行的时候，在dashboard里面就可以看到CPU和内存的监控数据了。

K8S使用dashboard管理集群

七、配置用户权限

1、删除apiserver里面basic认证相关的配置后重启apiserver

--basic-auth-file=/etc/kubernetes/basic_auth_file

# systemctl daemon-reload

# systemctl restart kube-apiserver

2、删除clusterrolebinding

# kubectl delete clusterrolebinding login-on-dashboard-with-cluster-admin

3、修改k8s-dashborad-deployment.yaml文件

去掉- --authentication-mode=basic参数

4、创建普通用户,赋予所有namespace下资源的get、watch和list权限。

这里通过clusterrole和culsterrolebinding赋予所有namespace相关资源的get、watch、list权限，实际应用环境建议使用创建role和rolebinding指定特定的namespace相关资源权限，各资源权限的赋予规则遵循最小权限原则。

# cat rbac-yang.yaml

kind: ClusterRole

apiVersion: rbac.authorization.k8s.io/v1

metadata:

rules:

- apiGroups: [""]

resources: ["*"]