【信创-k8s】超简单-鲲鹏(arm64)+麒麟V10离线部署k8s1.30+kubesphere4.1-天行1st的博客

环境涉及软件版本信息

服务器芯片: 鲲鹏920/飞腾2000(arm64)
操作系统：银河麒麟V10
Containerd: 1.7.13
Kubernetes：v1.30.12
KubeSphere：v4.1.3
KubeKey: v3.1.9(二开版)
Docker: 24.0.9
DockerCompose: v2.26.1
Harbor: v2.7.1
Prometheus: v2.51.2

服务器基本信息

暂时无法在飞书文档外展示此内容

[root@node1 ~]# uname -a
Linux node1 4.19.90-17.5.ky10.aarch64 #1 SMP Fri Aug 7 13:35:33 CST 2020 aarch64 aarch64 aarch64 GNU/Linux
[root@node1 ~]# 
[root@node1 ~]# cat /etc/os-release 
NAME="Kylin Linux Advanced Server"
VERSION="V10 (Tercel)"
ID="kylin"
VERSION_ID="V10"
PRETTY_NAME="Kylin Linux Advanced Server V10 (Tercel)"
ANSI_COLOR="0;31"

[root@node1 ~]#

4 离线部署准备

4.1 将安装包拷贝至离线环境

将下载的 kt、制品 artifact 、Helm文件等介质拷贝至master主节点。

4.2 初始化操作系统

所有节点,上传[kt_arm.tar.gz](https://pan.quark.cn/s/d622235b7b12。 "kt_arm版本")解压后执行./kt init-os。已适配操作系统和架构见1.说明

4.3 修改配置文件

主要修改相关节点和harbor信息

vi config-sample.yaml

kind: Cluster
metadata:
  name: sample
spec:
  hosts:
  - {name: node1, address: 192.168.0.80, internalAddress: 192.168.0.80, user: root, password: "123456",arch: "arm64"}
  roleGroups:
    etcd:
    - node1
    control-plane:
    - node1
    worker:
    - node1
    # 如需使用 kk 自动部署镜像仓库，请设置该主机组 （建议仓库与集群分离部署，减少相互影响）
    # 如果需要部署 harbor 并且 containerManager 为 containerd 时，由于部署 harbor 依赖 docker，建议单独节点部署 harbor
    registry:
    - node1
  controlPlaneEndpoint:
    ## Internal loadbalancer for apiservers 
    # internalLoadbalancer: haproxy

    domain: lb.kubesphere.local
    address: ""
    port: 6443
  kubernetes:
    version: v1.30.12
    clusterName: cluster.local
    autoRenewCerts: true
    containerManager: docker
  etcd:
    type: kubekey
  network:
    plugin: flannel
    kubePodsCIDR: 10.233.64.0/18
    kubeServiceCIDR: 10.233.0.0/18
    ## multus support. https://github.com/k8snetworkplumbingwg/multus-cni
    multusCNI:
      enabled: false
  registry:
    type: harbor
    registryMirrors: []
    insecureRegistries: []
    privateRegistry: "dockerhub.kubekey.local"
    namespaceOverride: "kubesphereio"
    auths: # if docker add by `docker login`, if containerd append to `/etc/containerd/config.toml`
      "dockerhub.kubekey.local":
        username: "admin"
        password: Harbor@123 # 此处可自定义，kk3.1.8新特性
        skipTLSVerify: true # Allow contacting registries over HTTPS with failed TLS verification.
        plainHTTP: false # Allow contacting registries over HTTP.
        certsPath: "/etc/docker/certs.d/dockerhub.kubekey.local"
  addons: []

4.4 创建镜像仓库

./kt init registry -f config-sample.yaml -a artifact-arm-k8s13012-ks413.tar.gz

可以看到使用了arm64版本的harbor

4.5 创建harbor项目

说明：

Harbor 管理员账号：admin，密码：Harbor@123。密码同步使用配置文件中的对应password

harbor 安装文件在 /opt/harbor 目录下，可在该目录下对 harbor 进行运维。

vi create_project_harbor.sh

#!/usr/bin/env bash

url="https://dockerhub.kubekey.local"  # 或修改为实际镜像仓库地址
user="admin"
passwd="Harbor@123"

harbor_projects=(
        ks
        kubesphere
        kubesphereio
        gjing1st
)

for project in "${harbor_projects[@]}"; do
    echo "creating $project"
    curl -u "${user}:${passwd}" -X POST -H "Content-Type: application/json" "${url}/api/v2.0/projects" -d "{ \"project_name\": \"${project}\", \"public\": true}" -k  # 注意在 curl 命令末尾加上 -k
done

创建 Harbor 项目

chmod +x create_project_harbor.sh

./create_project_harbor.sh

验证

5 安装Kubernetes

执行以下命令创建 Kubernetes 集群：

./kt create cluster -f config-sample.yaml -a artifact-arm-k8s13012-ks413.tar.gz  --with-local-storage

等待大概两分钟左右看到成功消息

6 安装 KubeSphere

helm upgrade --install -n kubesphere-system --create-namespace ks-core ks-core-1.1.5.tgz \
     --set global.imageRegistry=dockerhub.kubekey.local/gjing1st \
     --set extension.imageRegistry=dockerhub.kubekey.local/gjing1st \
     --set ksExtensionRepository.image.tag=v1.1.6 \
     --debug \
     --wait

等待大概30秒左右看到成功消息