k8s集群安装：calico网络插件及calico客户端calicoctl安装

ゝ一世哀愁。 2024-02-17 08:32 59阅读 0赞

### 5.8 集群网络准备 ###

> 使用calico部署集群网络
> 
> 安装参考网址：https://projectcalico.docs.tigera.io/about/about-calico

#### 5.8.1 calico安装 ####

![在这里插入图片描述][661f20a15b564193b45fcd314f6cf1c9.png]

![在这里插入图片描述][1a619c0aaf514864b03709665b46f3dc.png]

![在这里插入图片描述][6f353094109241e79cbd0661d7362346.png]

![在这里插入图片描述][0914f30cf62e4eaf9339253edd19e6c1.png]

下载operator资源清多文件
    # wget https://docs.projectcalico.org/manifests/tigera-operator.yaml

应用资源清多文件，创建operator
    # kubectl apply -f tigera-operator.yaml

通过自定义资源方式安装
    # wget https://docs.projectcalico.org/manifests/custom-resources.yaml

修改文件第13行，修改为使用kubeadm init ----pod-network-cidr对应的IP地址段
    # vim custom-resources.yaml
    ......
     11     ipPools:
     12     - blockSize: 26
     13       cidr: 10.244.0.0/16 
     14       encapsulation: VXLANCrossSubnet
    ......

应用资源清多文件
    # kubectl apply -f custom-resources.yaml

监视calico-sysem命名空间中pod运行情况
    # watch kubectl get pods -n calico-system

> Wait until each pod has the `STATUS` of `Running`.

删除 master 上的 taint
    # kubectl taint nodes --all node-role.kubernetes.io/master-

已经全部运行
    # kubectl get pods -n calico-system
    NAME                                      READY   STATUS    RESTARTS   AGE
    calico-kube-controllers-666bb9949-dzp68   1/1     Running   0          11m
    calico-node-jhcf4                         1/1     Running   4          11m
    calico-typha-68b96d8d9c-7qfq7             1/1     Running   2          11m

查看kube-system命名空间中coredns状态，处于Running状态表明联网成功。
    # kubectl get pods -n kube-system
    NAME                               READY   STATUS    RESTARTS   AGE
    coredns-558bd4d5db-4jbdv           1/1     Running   0          113m
    coredns-558bd4d5db-pw5x5           1/1     Running   0          113m
    etcd-master01                      1/1     Running   0          113m
    kube-apiserver-master01            1/1     Running   0          113m
    kube-controller-manager-master01   1/1     Running   4          113m
    kube-proxy-kbx4z                   1/1     Running   0          113m
    kube-scheduler-master01            1/1     Running   3          113m

#### 5.8.2 calico客户端安装 ####

![在这里插入图片描述][f710e2f5f4e34f85b1c9b74499898c22.png]

![在这里插入图片描述][a7912cc30a254174933453d28b952966.png]

下载二进制文件
    # curl -L https://github.com/projectcalico/calico/releases/download/v3.21.4/calicoctl-linux-amd64 -o calicoctl

安装calicoctl
    # mv calicoctl /usr/bin/
    
    为calicoctl添加可执行权限
    # chmod +x /usr/bin/calicoctl
    
    查看添加权限后文件
    # ls /usr/bin/calicoctl
    /usr/bin/calicoctl
    
    查看calicoctl版本
    # calicoctl  version
    Client Version:    v3.21.4
    Git commit:        220d04c94
    Cluster Version:   v3.21.4
    Cluster Type:      typha,kdd,k8s,operator,bgp,kubeadm

通过~/.kube/config连接kubernetes集群，查看已运行节点
    # DATASTORE_TYPE=kubernetes KUBECONFIG=~/.kube/config calicoctl get nodes
    NAME
    master01

[661f20a15b564193b45fcd314f6cf1c9.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/02/06/8fc370e86a6645d79f0ff82f3798e3ae.png
[1a619c0aaf514864b03709665b46f3dc.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/02/06/e36344a8ab544ae89b85a3a0b19a6aed.png
[6f353094109241e79cbd0661d7362346.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/02/06/d4a285f3b3d64952aeac883f3585ff37.png
[0914f30cf62e4eaf9339253edd19e6c1.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/02/06/5a541752e1bb40349d3f179aa6da2caa.png
[f710e2f5f4e34f85b1c9b74499898c22.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/02/06/1c5d1d65088f4d4f9cb6445d1fe45060.png
[a7912cc30a254174933453d28b952966.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/02/06/af3eb11bd07a48a2b6c77499933b7812.png