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官网: kubesphere.com.cn/

kubeSphere是青云的开源容器平台,主要就是基于k8s,实现简易图形化操作.

1. 安装

1.1 基于k8s安装kubeSphere

机器规格:

master 4c8g

node1 8c16g

node2 8c16g

机器规格的提升主要是为了验证kubeSphere的全功能,需要大量的资源

kubesphere.com.cn/docs/instal… 官网部署文档

kubeSphere 支持在各种公有云上部署

1.1.1 安装k8s

安装k8s参考之前的文章

安装完成后,需要安装nfs,参考之前kubernets的操作文章

然后创建默认存储类型:

## 创建了一个存储类
apiVersion: storage.k8s.io/v1
kind: StorageClass
metadata:
  name: nfs-storage
  annotations:
    storageclass.kubernetes.io/is-default-class: "true"
provisioner: k8s-sigs.io/nfs-subdir-external-provisioner
parameters:
  archiveOnDelete: "true"  ## 删除pv的时候，pv的内容是否要备份

---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: nfs-client-provisioner
  labels:
    app: nfs-client-provisioner
  # replace with namespace where provisioner is deployed
  namespace: default
spec:
  replicas: 1
  strategy:
    type: Recreate
  selector:
    matchLabels:
      app: nfs-client-provisioner
  template:
    metadata:
      labels:
        app: nfs-client-provisioner
    spec:
      serviceAccountName: nfs-client-provisioner
      containers:
        - name: nfs-client-provisioner
          image: registry.cn-hangzhou.aliyuncs.com/lfy_k8s_images/nfs-subdir-external-provisioner:v4.0.2
          # resources:
          #    limits:
          #      cpu: 10m
          #    requests:
          #      cpu: 10m
          volumeMounts:
            - name: nfs-client-root
              mountPath: /persistentvolumes
          env:
            - name: PROVISIONER_NAME
              value: k8s-sigs.io/nfs-subdir-external-provisioner
            - name: NFS_SERVER
              value: 172.31.0.4 ## 指定自己nfs服务器地址
            - name: NFS_PATH  
              value: /nfs/data  ## nfs服务器共享的目录
      volumes:
        - name: nfs-client-root
          nfs:
            server: 172.31.0.4 # 改为自己的ip
            path: /nfs/data
---
apiVersion: v1
kind: ServiceAccount
metadata:
  name: nfs-client-provisioner
  # replace with namespace where provisioner is deployed
  namespace: default
---
kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: nfs-client-provisioner-runner
rules:
  - apiGroups: [""]
    resources: ["nodes"]
    verbs: ["get", "list", "watch"]
  - apiGroups: [""]
    resources: ["persistentvolumes"]
    verbs: ["get", "list", "watch", "create", "delete"]
  - apiGroups: [""]
    resources: ["persistentvolumeclaims"]
    verbs: ["get", "list", "watch", "update"]
  - apiGroups: ["storage.k8s.io"]
    resources: ["storageclasses"]
    verbs: ["get", "list", "watch"]
  - apiGroups: [""]
    resources: ["events"]
    verbs: ["create", "update", "patch"]
---
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: run-nfs-client-provisioner
subjects:
  - kind: ServiceAccount
    name: nfs-client-provisioner
    # replace with namespace where provisioner is deployed
    namespace: default
roleRef:
  kind: ClusterRole
  name: nfs-client-provisioner-runner
  apiGroup: rbac.authorization.k8s.io
---
kind: Role
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: leader-locking-nfs-client-provisioner
  # replace with namespace where provisioner is deployed
  namespace: default
rules:
  - apiGroups: [""]
    resources: ["endpoints"]
    verbs: ["get", "list", "watch", "create", "update", "patch"]
---
kind: RoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: leader-locking-nfs-client-provisioner
  # replace with namespace where provisioner is deployed
  namespace: default
subjects:
  - kind: ServiceAccount
    name: nfs-client-provisioner
    # replace with namespace where provisioner is deployed
    namespace: default
roleRef:
  kind: Role
  name: leader-locking-nfs-client-provisioner
  apiGroup: rbac.authorization.k8s.io

# 创建storageClass
kubectl apply -f sc.yml

1.1.2 安装kubeSphere前置环境

安装 metrics-server

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
        - --kubelet-insecure-tls
        - --secure-port=4443
        - --kubelet-preferred-address-types=InternalIP,ExternalIP,Hostname
        - --kubelet-use-node-status-port
        image: registry.cn-hangzhou.aliyuncs.com/lfy_k8s_images/metrics-server:v0.4.3
        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
          periodSeconds: 10
        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

kubectl apply -f metrics-server.yml

1.1.3 安装kubeSphere

参考官方文档 kubesphere.com.cn/docs/quick-…

wget https://github.com/kubesphere/ks-installer/releases/download/v3.2.0/kubesphere-installer.yaml
   
wget https://github.com/kubesphere/ks-installer/releases/download/v3.2.0/cluster-configuration.yaml

由于其中的 metrics-server 我们已经安装过了 (配置中是从官网下载镜像,可能比较慢,上面安装metrics-server的时候换成了阿里云的镜像),所以需要修改下集群配置文件 cluster-configuration.yaml

注意: 修改cluster-configuration.yaml 主要是为了两个目的:

修改etcd的ip,从localhost改为主节点局域网ip
修改其中一些可插拔组件是否启用, 参考 kubesphere.com.cn/docs/plugga…

1. 如下配置文件,基本上启用了kubeSphere的所有可插拔组件功能

---
apiVersion: installer.kubesphere.io/v1alpha1
kind: ClusterConfiguration
metadata:
  name: ks-installer
  namespace: kubesphere-system
  labels:
    version: v3.2.0
spec:
  persistence:
    storageClass: ""        # If there is no default StorageClass in your cluster, you need to specify an existing StorageClass here.
  authentication:
    jwtSecret: ""           # Keep the jwtSecret consistent with the Host Cluster. Retrieve the jwtSecret by executing "kubectl -n kubesphere-system get cm kubesphere-config -o yaml | grep -v "apiVersion" | grep jwtSecret" on the Host Cluster.
  local_registry: ""        # Add your private registry address if it is needed.
  # dev_tag: ""               # Add your kubesphere image tag you want to install, by default it's same as ks-install release version.
  etcd:
    monitoring: true       # 修改为true Enable or disable etcd monitoring dashboard installation. You have to create a Secret for etcd before you enable it.
    endpointIps: xx.xx.xx.xx  # IP改为masterIP etcd cluster EndpointIps. It can be a bunch of IPs here.
    port: 2379              # etcd port.
    tlsEnable: true
  common:
    core:
      console:
        enableMultiLogin: true  # Enable or disable simultaneous logins. It allows different users to log in with the same account at the same time.
        port: 30880
        type: NodePort
    # apiserver:            # Enlarge the apiserver and controller manager's resource requests and limits for the large cluster
    #  resources: {}
    # controllerManager:
    #  resources: {}
    redis:
      enabled: false #改为true 启用redis
      volumeSize: 2Gi # Redis PVC size.
    openldap:
      enabled: false # 改为true 启用
      volumeSize: 2Gi   # openldap PVC size.
    minio:
      volumeSize: 20Gi # Minio PVC size.
    monitoring:
      # type: external   # Whether to specify the external prometheus stack, and need to modify the endpoint at the next line.
      endpoint: http://prometheus-operated.kubesphere-monitoring-system.svc:9090 # Prometheus endpoint to get metrics data.
      GPUMonitoring:     # Enable or disable the GPU-related metrics. If you enable this switch but have no GPU resources, Kubesphere will set it to zero. 
        enabled: false
    gpu:                 # Install GPUKinds. The default GPU kind is nvidia.com/gpu. Other GPU kinds can be added here according to your needs. 
      kinds:         
      - resourceName: "nvidia.com/gpu"
        resourceType: "GPU"
        default: true
    es:   # Storage backend for logging, events and auditing.
      # master:
      #   volumeSize: 4Gi  # The volume size of Elasticsearch master nodes.
      #   replicas: 1      # The total number of master nodes. Even numbers are not allowed.
      #   resources: {}
      # data:
      #   volumeSize: 20Gi  # The volume size of Elasticsearch data nodes.
      #   replicas: 1       # The total number of data nodes.
      #   resources: {}
      logMaxAge: 7             # Log retention time in built-in Elasticsearch. It is 7 days by default.
      elkPrefix: logstash      # The string making up index names. The index name will be formatted as ks-<elk_prefix>-log.
      basicAuth:
        enabled: false
        username: ""
        password: ""
      externalElasticsearchUrl: ""
      externalElasticsearchPort: ""
  alerting:                # (CPU: 0.1 Core, Memory: 100 MiB) It enables users to customize alerting policies to send messages to receivers in time with different time intervals and alerting levels to choose from.
    enabled: true         # 启用告警 Enable or disable the KubeSphere Alerting System.
    # thanosruler:
    #   replicas: 1
    #   resources: {}
  auditing:                # Provide a security-relevant chronological set of records，recording the sequence of activities happening on the platform, initiated by different tenants.
    enabled: true         # 启用审计 Enable or disable the KubeSphere Auditing Log System.
    # operator:
    #   resources: {}
    # webhook:
    #   resources: {}
  devops:                  # (CPU: 0.47 Core, Memory: 8.6 G) Provide an out-of-the-box CI/CD system based on Jenkins, and automated workflow tools including Source-to-Image & Binary-to-Image.
    enabled: true             # 启用devops Enable or disable the KubeSphere DevOps System.
    # resources: {}
    jenkinsMemoryLim: 2Gi      # Jenkins memory limit.
    jenkinsMemoryReq: 1500Mi   # Jenkins memory request.
    jenkinsVolumeSize: 8Gi     # Jenkins volume size.
    jenkinsJavaOpts_Xms: 512m  # The following three fields are JVM parameters.
    jenkinsJavaOpts_Xmx: 512m
    jenkinsJavaOpts_MaxRAM: 2g
  events:                  # Provide a graphical web console for Kubernetes Events exporting, filtering and alerting in multi-tenant Kubernetes clusters.
    enabled: true         # 启用事件 Enable or disable the KubeSphere Events System.
    # operator:
    #   resources: {}
    # exporter:
    #   resources: {}
    # ruler:
    #   enabled: true
    #   replicas: 2
    #   resources: {}
  logging:                 # (CPU: 57 m, Memory: 2.76 G) Flexible logging functions are provided for log query, collection and management in a unified console. Additional log collectors can be added, such as Elasticsearch, Kafka and Fluentd.
    enabled: true         # 启用日志 Enable or disable the KubeSphere Logging System.
    containerruntime: docker
    logsidecar:
      enabled: true
      replicas: 2
      # resources: {}
  metrics_server:                    # (CPU: 56 m, Memory: 44.35 MiB) It enables HPA (Horizontal Pod Autoscaler).
    enabled: false                   # 此处不启用,我们已经手动安装过了 Enable or disable metrics-server.
  monitoring:
    storageClass: ""                 # If there is an independent StorageClass you need for Prometheus, you can specify it here. The default StorageClass is used by default.
    # kube_rbac_proxy:
    #   resources: {}
    # kube_state_metrics:
    #   resources: {}
    # prometheus:
    #   replicas: 1  # Prometheus replicas are responsible for monitoring different segments of data source and providing high availability.
    #   volumeSize: 20Gi  # Prometheus PVC size.
    #   resources: {}
    #   operator:
    #     resources: {}
    #   adapter:
    #     resources: {}
    # node_exporter:
    #   resources: {}
    # alertmanager:
    #   replicas: 1          # AlertManager Replicas.
    #   resources: {}
    # notification_manager:
    #   resources: {}
    #   operator:
    #     resources: {}
    #   proxy:
    #     resources: {}
    gpu:                           # GPU monitoring-related plugins installation.
      nvidia_dcgm_exporter:
        enabled: false
        # resources: {}
  multicluster:
    clusterRole: none  # host | member | none  # You can install a solo cluster, or specify it as the Host or Member Cluster.
  network:
    networkpolicy: # Network policies allow network isolation within the same cluster, which means firewalls can be set up between certain instances (Pods).
      # Make sure that the CNI network plugin used by the cluster supports NetworkPolicy. There are a number of CNI network plugins that support NetworkPolicy, including Calico, Cilium, Kube-router, Romana and Weave Net.
      enabled: true # 启用网络服务 Enable or disable network policies.
    ippool: # Use Pod IP Pools to manage the Pod network address space. Pods to be created can be assigned IP addresses from a Pod IP Pool.
      type: none # Specify "calico" for this field if Calico is used as your CNI plugin. "none" means that Pod IP Pools are disabled.
    topology: # Use Service Topology to view Service-to-Service communication based on Weave Scope.
      type: none # Specify "weave-scope" for this field to enable Service Topology. "none" means that Service Topology is disabled.
  openpitrix: # An App Store that is accessible to all platform tenants. You can use it to manage apps across their entire lifecycle.
    store:
      enabled: false # Enable or disable the KubeSphere App Store.
  servicemesh:         # (0.3 Core, 300 MiB) Provide fine-grained traffic management, observability and tracing, and visualized traffic topology.
    enabled: true     # 启用服务网格 Base component (pilot). Enable or disable KubeSphere Service Mesh (Istio-based).
  kubeedge:          # Add edge nodes to your cluster and deploy workloads on edge nodes.
    enabled: true   # Enable or disable KubeEdge.
    cloudCore:
      nodeSelector: {"node-role.kubernetes.io/worker": ""}
      tolerations: []
      cloudhubPort: "10000"
      cloudhubQuicPort: "10001"
      cloudhubHttpsPort: "10002"
      cloudstreamPort: "10003"
      tunnelPort: "10004"
      cloudHub:
        advertiseAddress: # At least a public IP address or an IP address which can be accessed by edge nodes must be provided.
          - ""            # Note that once KubeEdge is enabled, CloudCore will malfunction if the address is not provided.
        nodeLimit: "100"
      service:
        cloudhubNodePort: "30000"
        cloudhubQuicNodePort: "30001"
        cloudhubHttpsNodePort: "30002"
        cloudstreamNodePort: "30003"
        tunnelNodePort: "30004"
    edgeWatcher:
      nodeSelector: {"node-role.kubernetes.io/worker": ""}
      tolerations: []
      edgeWatcherAgent:
        nodeSelector: {"node-role.kubernetes.io/worker": ""}
        tolerations: []

# 修改配置文件后开始安装
kubectl apply -f kubesphere-installer.yaml
kubectl apply -f cluster-configuration.yaml

# 查看安装进度
kubectl logs -n kubesphere-system $(kubectl get pod -n kubesphere-system -l app=ks-install -o jsonpath='{.items[0].metadata.name}') -f

# 安装时发现缺少etcd监控证书 创建如下证书
kubectl -n kubesphere-monitoring-system create secret generic kube-etcd-client-certs  --from-file=etcd-client-ca.crt=/etc/kubernetes/pki/etcd/ca.crt  --from-file=etcd-client.crt=/etc/kubernetes/pki/apiserver-etcd-client.crt  --from-file=etcd-client.key=/etc/kubernetes/pki/apiserver-etcd-client.key

1.2 基于Linux单节点安装kubeSphere

参考官方文档

kubesphere.com.cn/docs/quick-…

1.2.1 开通服务器

4c8g

1.2.2 安装kubekey

export KKZONE=cn
# 下载kubekey
curl -sfL https://get-kk.kubesphere.io | VERSION=v1.2.0 sh -

# 添加可执行权限
chmod +x kk

1.2.3 安装kubernetes和kubeSphere

# 指定k8s和kubeSphere版本
./kk create cluster --with-kubernetes v1.21.5 --with-kubesphere v3.2.0

等待安装完成即可

注意: 安装过程中可能出现缺少某些组件的信息, 直接 yum install xx即可

example:

yum install -y conntrack

安装后继续安装即可

安装成功后:

1.2.4 启用可插拔组件

这种all in one的方式安装,默认是最小化安装的,想要开启各种功能,需要手动开启

官网文档: kubesphere.com.cn/docs/plugga…

以DevOps为例

# 监测安装过程
kubectl logs -n kubesphere-system $(kubectl get pod -n kubesphere-system -l app=ks-install -o jsonpath='{.items[0].metadata.name}') -f

1.3 基于Linux多节点安装kubeSphere

官网文档: kubesphere.com.cn/docs/instal…

1.3.1 开通机器

Master 4c8g *1

Worker 8c16g *2

设置三台机器的hostname

master node1 node2

1.3.2 master安装kubekey

export KKZONE=cn
curl -sfL https://get-kk.kubesphere.io | VERSION=v1.2.0 sh -
chmod +x kk

1.3.3 创建集群配置文件

# 会在当前目录下创建 config-sample.yaml
./kk create config --with-kubesphere v3.2.0 --with-kubernetes v1.20.4

修改该文件

vim config-sample.yaml

spec:
  hosts: # 修改三个节点的hostname ip地址 用户名和密码
  - {name: master, address: 192.168.0.2, internalAddress: 192.168.0.2, user: ubuntu, password: Testing123}
  - {name: node1, address: 192.168.0.3, internalAddress: 192.168.0.3, user: ubuntu, password: Testing123}
  - {name: node2, address: 192.168.0.4, internalAddress: 192.168.0.4, user: ubuntu, password: Testing123}
  roleGroups:
    etcd:
    - master # 主节点的hostname
    master:
    - master # 主节点的hostname
    worker:
    - node1 # 两个work节点的hostname
    - node2

1.3.4 创建集群

./kk create cluster -f config-sample.yaml

1.4 阿里云ACK安装

和Linux配置基本相同官网文档: kubesphere.com.cn/docs/instal…

k8s管理平台-kubeSphere的安装