阿里云kk一键搭建k8s

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kk多节点安装

准备

  1. 准备一个弹性伸缩，用于管理ECS虚拟机

  2. 伸缩组实例配置好ecs的配置（如果是学习可以采用抢占式虚拟机节约成本）

    Eg: ecs.hfc6.large(ecs.c7a.largeamd也可以了)抢占式2vCPU+4GiB+centos7.9 64为，可以挂载同一个共享数据盘，用于存储配置数据

    配置证书，采用证书cer登录

  3. 端口要求：安全组开放（因为用的一个安全组，所以组内连通策略：组内互通）因此不需要设置

    服务 端口
    ssh 22 TCP
    etcd 2379-2380 TCP
    apiserver 6443 TCP
    calico 9099-9100 TCP
    bgp 179 TCP
    nodeport 30000-32767 TCP
    master 10250-10258 TCP
    dns 53 TCP/UDP
    local-registry(离线环境需要) 5000 TCP
    local-apt(离线环境需要) 5080 TCP
    rpcbind( 使用 NFS 时需要) 111 TCP
    ipip(Calico 需要使用 IPIP 协议) IPENCAP / IPIP
    metrics-server 8443 TCP

只安装kubernetes

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yum update -y
yum install -y socat conntrack ebtables ipset
export KKZONE=cn
#手动下载KK，上传阿里云（命令下载不下来）
./kk create config #生产配置文件config-sample.yaml
#修改config-sample.yaml，配置节点信息，密码采用证书登录模式，配置address
#上传证书，注意将证书改成400只读权限
chmod 400 k8s.cer
export KKZONE=cn
#创建kubernetes集群
./kk create cluster -f config-kubernetes-1.23.7.yaml | tee kk.log

安装kubernetes+kubesphere

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yum update -y
./kk create config --with-kubesphere #生产配置文件config-sample.yaml
export KKZONE=cn && ./kk create cluster -f config-kubesphere3.3.0-kubernetes1.23.7.yaml | tee kk.log

添加/删除节点

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#没有之前的部署文件，通过下面命令生产部署文件,文件名sample.yaml，我修改了名字为add-node.yaml
./kk create config --from-cluster
#修改，完善部署文件（主要是节点ip，负载，etcd），添加新节点的配置
#新节点安装依赖
yum install -y socat conntrack ebtables ipset
#执行添加节点
./kk add nodes -f add-node.yaml
#删除节点名是node4的节点
./kk delete node node4 -f add-node.yaml
#高可用
#1. 删除了node3虚拟机
#2. 添加了一个node4虚拟机
#3. kk的add-node.yaml节点信息修改为node1，node2，node4，（node3的配置删除）注意etcd和master要同步修改最新的节点名称
#4. 删除etcd的错误节点
export ETCDCTL_API=2;
export ETCDCTL_CERT_FILE='/etc/ssl/etcd/ssl/admin-node1.pem';
export ETCDCTL_KEY_FILE='/etc/ssl/etcd/ssl/admin-node1-key.pem';
export ETCDCTL_CA_FILE='/etc/ssl/etcd/ssl/ca.pem';
#查看成员
/usr/local/bin/etcdctl --endpoints=https://192.168.14.16:2379,https://192.168.14.17:2379 member list 
#根据成员id，删除成员
/usr/local/bin/etcdctl --endpoints=https://192.168.14.16:2379,https://192.168.14.17:2379 member remove cab52e8fded2eefe
#5. 重新执行添加节点命令
./kk add nodes -f add-node.yaml
#6. 清理不可用的节点，因为连接不上，加上参数--delete-emptydir-data --ignore-daemonsets
kubectl cordon node3 
kubectl drain node3 --force --ignore-daemonsets  --delete-emptydir-data
kubectl delete node node3 
#查看节点，错误节点已删除
kubectl get nodes

添加/删除污点

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#给节点 node1 增加一个污点，它的键名是 key1，键值是 value1，效果是 NoSchedule。 这表示只有拥有和这个污点相匹配的容忍度的 Pod 才能够被分配到 node1 这个节点。
kubectl taint nodes node1 key1=value1:NoSchedule
#删除污点
kubectl taint nodes node1 key1=value1:NoSchedule-

注意事项

  • 能修改deployment优先修改deployment，如果不能修改再修改pod的配置文件，因为pod修改之后会重启消失。

常见问题

  1. kk安装多节点集群的时候，报如下错误：

    [wait-control-plane] Waiting for the kubelet to boot up the control plane as static Pods from directory "/etc/kubernetes/manifests". This can take up to 4m0s [kubelet-check] Initial timeout of 40s passed.

    解决：amd的主机有问题，换了一个inter芯片的主机就OK了，新解决方法安装前，执行yum update -y

  2. 一个节点宕机后，添加一个新的节点替代，执行kk添加节点命令时报如下错误：

    etcd health check failed: Failed to exec command: sudo -E /bin/bash -c "export ETCDCTL_API=2;export ETCDCTL_CERT_FILE='/etc/ssl/etcd/ssl/admin-node1.pem';export ETCDCTL_KEY_FILE='/etc/ssl/etcd/ssl/admin-node1-key.pem';export ETCDCTL_CA_FILE='/etc/ssl/etcd/ssl/ca.pem';/usr/local/bin/etcdctl --endpoints=https://192.168.14.16:2379,https://192.168.14.17:2379,https://192.168.14.20:2379 cluster-health | grep -q 'cluster is healthy'

    解决：先删除etcd的异常节点，在重新执行kk添加etcd及master节点

  3. 执行kubectl drain node3 --force --ignore-daemonsets --delete-emptydir-data删除节点时报如下错误：

    I0705 16:41:20.004286 18301 request.go:665] Waited for 1.14877279s due to client-side throttling, not priority and fairness, request: GET:https://lb.kubesphere.local:6443/api/v1/namespaces/kubesphere-monitoring-system/pods/alertmanager-main-1

    解决：强制取消，执行kubectl delete node node3即可

  4. 重建节点之后，新加的节点无法调度，报如下错误：

    0/3 nodes are available: 1 node(s) had taint {node-role.kubernetes.io/master: }, that the pod didn't tolerate, 2 Insufficient cpu.

    解决：在集群节点查看污点，然后执行kubectl taint nodes node4 node-role.kubernetes.io/master=:NoSchedule-删除污点

  5. 重建节点之后组件监控prometheus-k8s容器事件提示如下错误：

    MountVolume.NewMounter initialization failed for volume "pvc-60891ee0-ba6c-4df4-b381-6e542b27d3a7" : path "/var/openebs/local/pvc-60891ee0-ba6c-4df4-b381-6e542b27d3a7" does not exist

    解决：在master节点执行，以下方法并不能解决，待验证存储卷是否是分布式的？

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    #在/etc/kubernetes/manifests/kube-apiserver.yaml
    #spec:
    #  containers:
    #  - command:
    #    - kube-apiserver
    #    - -–feature-gates=RemoveSelfLink=fals #添加该行
    vim /etc/kubernetes/manifests/kube-apiserver.yaml
    #应用配置
    kubectl apply -f /etc/kubernetes/manifests/kube-apiserver.yaml

  6. 使用amd主机安装kubesphere，一直卡在Please wait for the installation to complete:，查看pod日志，发现calico-node-4hgbb的pod提示如下错误：

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      Type     Reason     Age                    From     Message
      ----     ------     ----                   ----     -------
      Warning  Unhealthy  3m18s (x440 over 66m)  kubelet  (combined from similar events): Readiness probe failed: 2022-07-06 02:39:53.164 [INFO][4974] confd/health.go 180: Number of node(s) with BGP peering established = 2
    calico/node is not ready: felix is not ready: readiness probe reporting 503

    参考: kubernetes v1.24.0 install failed with calico node not ready #1282

    解决：resolved by change calico version, maybe calico verison should update from v3.20.0 to v3.23.0

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    #删除calico相关pod
    kubectl -n kube-system get all |grep calico | awk '{print $1}' | xargs kubectl -n kube-system delete
    #获取3.23新版本
    wget https://docs.projectcalico.org/archive/v3.23/manifests/calico.yaml
    #重新安装calico
    kubectl apply -f calico.yaml
    #calico虽然正常了，但是后续重新用kk安装又回回到不正常状态，注意不要修改pod的配置文件，要修改deployment。
    #最终解决在安装集群前执行
    yum update -y

  7. 系统组件->监控->prometheus-k8s->事件->错误日志：0/3 nodes are available: 3 Insufficient cpu.

    解决：修改工作负载->有状态副本集->prometheus-k8s

    总结：requests.cpu设置为0.5代表一个cpu的一半，0.5等价于500m，读做”500 millicpu”(五百毫核)

    官方说明：Kubernetes 中的资源单位

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    #重启之后需要重新修改
          containers:
            - name: prometheus
              resources:
                limits:
                  cpu: '4'
                  memory: 16Gi
                requests:
                  cpu: 200m #修改为20m
                  memory: 400Mi #修改为40Mi

  8. 执行kubectl top node提示error: Metrics API not available错误

    解决：1.未安装修改kubesphere部署配置文件，已安装登录kubesphere点击定制资源定义->ClusterConfiguration->ks-installer修改。

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    metrics_server:
      enabled: false #设置为true

  9. calico/node is not ready: felix is not ready: readiness probe reporting 503

    再次尝试之后calico/node is not ready: felix is not ready: Get "http://localhost:9099/readiness": dial tcp [::1]:9099: connect: connection refused

附录

config-kubernetes-1.23.7.yaml部署文件

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apiVersion: kubekey.kubesphere.io/v1alpha2
kind: Cluster
metadata:
  name: sample
spec:
  hosts:
  - {name: node1, address: 192.168.14.1, internalAddress: 192.168.14.1, user: root, privateKeyPath: "/exxk/k8s.cer"}
  - {name: node2, address: 192.168.14.2, internalAddress: 192.168.14.2, user: root, privateKeyPath: "/exxk/k8s.cer"}
  - {name: node3, address: 192.168.14.3, internalAddress: 192.168.14.3, user: root, privateKeyPath: "/exxk/k8s.cer"}
  roleGroups:
    etcd:
    - node[1:3]
    master: 
    - node[1:3]
    worker:
    - node[1:3]
  controlPlaneEndpoint:
    ## Internal loadbalancer for apiservers 
    # internalLoadbalancer: haproxy

    domain: lb.kubesphere.local
    address: "192.168.14.1"
    port: 6443
  kubernetes:
    version: v1.23.7
    clusterName: cluster.local
    autoRenewCerts: true
    containerManager: docker
  etcd:
    type: kubekey
  network:
    plugin: calico
    kubePodsCIDR: 10.233.64.0/18
    kubeServiceCIDR: 10.233.0.0/18
    ## multus support. https://github.com/k8snetworkplumbingwg/multus-cni
    multusCNI:
      enabled: false
  registry:
    privateRegistry: ""
    namespaceOverride: ""
    registryMirrors: []
    insecureRegistries: []
  addons: []

config-kubesphere3.3.0-kubernetes1.23.7.yaml部署文件

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apiVersion: kubekey.kubesphere.io/v1alpha2
kind: Cluster
metadata:
  name: sample
spec:
  hosts:
  - {name: node1, address: 192.168.14.16, internalAddress: 192.168.14.16, user: root, privateKeyPath: "/exxk/k8s.cer"}
  - {name: node2, address: 192.168.14.17, internalAddress: 192.168.14.17, user: root, privateKeyPath: "/exxk/k8s.cer"}
  - {name: node3, address: 192.168.14.18, internalAddress: 192.168.14.18, user: root, privateKeyPath: "/exxk/k8s.cer"}
  roleGroups:
    etcd:
    - node[1:3]
    control-plane:
    - node[1:3]
    worker:
    - node[1:3]
  controlPlaneEndpoint:
    # Internal loadbalancer for apiservers 
    # internalLoadbalancer: haproxy
    domain: lb.kubesphere.local
    address: "192.168.14.16"
    port: 6443
  kubernetes:
    version: v1.23.7
    clusterName: cluster.local
    autoRenewCerts: true
    containerManager: docker
  etcd:
    type: kubekey
  network:
    plugin: calico
    kubePodsCIDR: 10.233.64.0/18
    kubeServiceCIDR: 10.233.0.0/18
    ## multus support. https://github.com/k8snetworkplumbingwg/multus-cni
    multusCNI:
      enabled: false
  registry:
    privateRegistry: ""
    namespaceOverride: ""
    registryMirrors: []
    insecureRegistries: []
  addons: []

---
apiVersion: installer.kubesphere.io/v1alpha1
kind: ClusterConfiguration
metadata:
  name: ks-installer
  namespace: kubesphere-system
  labels:
    version: v3.3.0
spec:
  persistence:
    storageClass: ""
  authentication:
    jwtSecret: ""
  zone: ""
  local_registry: ""
  namespace_override: ""
  # dev_tag: ""
  etcd:
    monitoring: false
    endpointIps: localhost
    port: 2379
    tlsEnable: true
  common:
    core:
      console:
        enableMultiLogin: true
        port: 30880
        type: NodePort
    # apiserver:
    #  resources: {}
    # controllerManager:
    #  resources: {}
    redis:
      enabled: false
      volumeSize: 2Gi
    openldap:
      enabled: false
      volumeSize: 2Gi
    minio:
      volumeSize: 20Gi
    monitoring:
      # type: external
      endpoint: http://prometheus-operated.kubesphere-monitoring-system.svc:9090
      GPUMonitoring:
        enabled: false
    gpu:
      kinds:
      - resourceName: "nvidia.com/gpu"
        resourceType: "GPU"
        default: true
    es:
      # master:
      #   volumeSize: 4Gi
      #   replicas: 1
      #   resources: {}
      # data:
      #   volumeSize: 20Gi
      #   replicas: 1
      #   resources: {}
      logMaxAge: 7
      elkPrefix: logstash
      basicAuth:
        enabled: false
        username: ""
        password: ""
      externalElasticsearchHost: ""
      externalElasticsearchPort: ""
  alerting:
    enabled: false
    # thanosruler:
    #   replicas: 1
    #   resources: {}
  auditing:
    enabled: false
    # operator:
    #   resources: {}
    # webhook:
    #   resources: {}
  devops:
    enabled: false
    # resources: {}
    jenkinsMemoryLim: 2Gi
    jenkinsMemoryReq: 1500Mi
    jenkinsVolumeSize: 8Gi
    jenkinsJavaOpts_Xms: 1200m
    jenkinsJavaOpts_Xmx: 1600m
    jenkinsJavaOpts_MaxRAM: 2g
  events:
    enabled: false
    # operator:
    #   resources: {}
    # exporter:
    #   resources: {}
    # ruler:
    #   enabled: true
    #   replicas: 2
    #   resources: {}
  logging:
    enabled: false
    logsidecar:
      enabled: true
      replicas: 2
      # resources: {}
  metrics_server:
    enabled: false
  monitoring:
    storageClass: ""
    node_exporter:
      port: 9100
      # resources: {}
    # kube_rbac_proxy:
    #   resources: {}
    # kube_state_metrics:
    #   resources: {}
    # prometheus:
    #   replicas: 1
    #   volumeSize: 20Gi
    #   resources: {}
    #   operator:
    #     resources: {}
    # alertmanager:
    #   replicas: 1
    #   resources: {}
    # notification_manager:
    #   resources: {}
    #   operator:
    #     resources: {}
    #   proxy:
    #     resources: {}
    gpu:
      nvidia_dcgm_exporter:
        enabled: false
        # resources: {}
  multicluster:
    clusterRole: none
  network:
    networkpolicy:
      enabled: false
    ippool:
      type: none
    topology:
      type: none
  openpitrix:
    store:
      enabled: false
  servicemesh:
    enabled: false
    istio:
      components:
        ingressGateways:
        - name: istio-ingressgateway
          enabled: false
        cni:
          enabled: false
  edgeruntime:
    enabled: false
    kubeedge:
      enabled: false
      cloudCore:
        cloudHub:
          advertiseAddress:
            - ""
        service:
          cloudhubNodePort: "30000"
          cloudhubQuicNodePort: "30001"
          cloudhubHttpsNodePort: "30002"
          cloudstreamNodePort: "30003"
          tunnelNodePort: "30004"
        # resources: {}
        # hostNetWork: false
      iptables-manager:
        enabled: true
        mode: "external"
        # resources: {}
      # edgeService:
      #   resources: {}
  terminal:
    timeout: 600

add-node.yaml

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apiVersion: kubekey.kubesphere.io/v1alpha2
kind: Cluster
metadata:
  name: sample
spec:
  hosts: 
  ##You should complete the ssh information of the hosts
  - {name: node1, address: 192.168.14.16, internalAddress: 192.168.14.16, user: root, privateKeyPath: "/exxk/k8s.cer"}
  - {name: node2, address: 192.168.14.17, internalAddress: 192.168.14.17, user: root, privateKeyPath: "/exxk/k8s.cer"}
  - {name: node3, address: 192.168.14.18, internalAddress: 192.168.14.18, user: root, privateKeyPath: "/exxk/k8s.cer"}
  - {name: node4, address: 192.168.14.19, internalAddress: 192.168.14.19, user: root, privateKeyPath: "/exxk/k8s.cer"}
  roleGroups:
    etcd:
    - node[1:3]
    master:
    - node1
    - node2
    - node3
    worker:
    - node1
    - node2
    - node3
    - node4
  controlPlaneEndpoint:
    ##Internal loadbalancer for apiservers
    #internalLoadbalancer: haproxy

    ##If the external loadbalancer was used, 'address' should be set to loadbalancer's ip.
    domain: lb.kubesphere.local
    address: "192.168.14.16"
    port: 6443
  kubernetes:
    version: v1.23.7
    clusterName: cluster.local
    proxyMode: ipvs
    masqueradeAll: false
    maxPods: 110
    nodeCidrMaskSize: 24
  network:
    plugin: calico
    kubePodsCIDR: 10.233.64.0/18
    kubeServiceCIDR: 10.233.0.0/18
  registry:
    privateRegistry: ""