本文将详细介绍,如何基于鲲鹏CPU(arm64)和操作系统 Kylin V10 SP2/SP3,利用 KubeKey 制作 KubeSphere 和 Kubernetes 离线安装包,并实战部署 KubeSphere 3.3.1 和 Kubernetes 1.22.12 集群。
服务器配置
主机名 | IP | CPU | OS | 用途 |
master-1 | 192.168.10.2 | Kunpeng-920 | Kylin V10 SP2 | 离线环境 KubeSphere/k8s-master |
master-2 | 192.168.10.3 | Kunpeng-920 | Kylin V10 SP2 | 离线环境 KubeSphere/k8s-master |
master-3 | 192.168.10.4 | Kunpeng-920 | Kylin V10 SP2 | 离线环境 KubeSphere/k8s-master |
deploy | 192.168.200.7 | Kunpeng-920 | Kylin V10 SP3 | 联网主机用于制作离线包 |
实战环境涉及软件版本信息
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服务器芯片:Kunpeng-920
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操作系统:麒麟V10 SP2/SP3 aarch64
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Docker: 24.0.7
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Harbor: v2.7.1
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KubeSphere:v3.3.1
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Kubernetes:v1.22.12
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KubeKey: v2.3.1
本文介绍
本文介绍了如何在 麒麟 V10 aarch64 架构服务器上制品和离线部署 KubeSphere 和 Kubernetes 集群。我们将使用 KubeSphere 开发的 KubeKey 工具实现自动化部署,在三台服务器上实现高可用模式最小化部署 Kubernetes 集群和 KubeSphere。
KubeSphere 和 Kubernetes 在 ARM 架构 和 X86 架构的服务器上部署,最大的区别在于所有服务使用的容器镜像架构类型的不同,KubeSphere 开源版对于 ARM 架构的默认支持可以实现 KubeSphere-Core 功能,即可以实现最小化的 KubeSphere 和完整的 Kubernetes 集群的部署。当启用了 KubeSphere 可插拔组件时,会遇到个别组件部署失败的情况,需要我们手工替换官方或是第三方提供的 ARM 版镜像或是根据官方源码手工构建 ARM 版镜像。如果需要实现开箱即用及更多的技术支持,则需要购买企业版的 KubeSphere。
1.1 确认操作系统配置
在执行下文的任务之前,先确认操作系统相关配置。
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操作系统类型
[root@localhost ~]# cat /etc/os-release NAME="Kylin Linux Advanced Server" VERSION="V10 (Halberd)" ID="kylin" VERSION_ID="V10" PRETTY_NAME="Kylin Linux Advanced Server V10 (Halberd)" ANSI_COLOR="0;31
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操作系统内核
[root@node1 ~]# uname -r Linux node1 4.19.90-52.22.v2207.ky10.aarch64
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服务器 CPU 信息
[root@node1 ~]# lscpu Architecture: aarch64 CPU op-mode(s): 64-bit Byte Order: Little Endian CPU(s): 32 On-line CPU(s) list: 0-31 Thread(s) per core: 1 Core(s) per socket: 1 Socket(s): 32 NUMA node(s): 2 Vendor ID: HiSilicon Model: 0 Model name: Kunpeng-920 Stepping: 0x1 BogoMIPS: 200.00 NUMA node0 CPU(s): 0-15 NUMA node1 CPU(s): 16-31 Vulnerability Itlb multihit: Not affected Vulnerability L1tf: Not affected Vulnerability Mds: Not affected Vulnerability Meltdown: Not affected Vulnerability Spec store bypass: Not affected Vulnerability Spectre v1: Mitigation; __user pointer sanitization Vulnerability Spectre v2: Not affected Vulnerability Srbds: Not affected Vulnerability Tsx async abort: Not affected Flags: fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm jscvt fcma dcpop asimddp asimdfhm
2. 安装k8s依赖服务
这里使用能联网的 deploy 节点,用来制作离线部署资源包。由于harbor官方不支持arm,先使用在线安装kubesphere,后续根据kubekey生成的文件作为伪制品。故在192.168.200.7服务器以单节点形式部署ks。
以下为多阶段部署,目的是方便制作离线安装包
2.1 部署docker和docker-compose
具体可参考以下文章第一部分
天行1st,公众号:编码如写诗鲲鹏+欧拉部署KubeSphere3.4
这里采用制作好的安装包形式,直接安装,解压后执行其中的install.sh
链接: https://pan.baidu.com/s/1j9EUonkZPfwQlDC9U1hRMQ?pwd=7y53
2.2 部署harbor
上传安装包后解压后执行其中的install.sh
链接: https://pan.baidu.com/s/1diy4-vxmWXDMp5MWYpaqMw?pwd=nr9y
2.3 下载麒麟系统k8s依赖包
mkdir -p /root/kubesphere/k8s-init
# 该命令将下载相关依赖到/root/kubesphere/k8s-init目录
yum -y install openssl socat conntrack ipset ebtables chrony ipvsadm --downloadonly --downloaddir /root/kubesphere/k8s-init
# 编写安装脚本
cat install.sh
#!/bin/bash
# rpm -ivh *.rpm --force --nodeps# 打成压缩包,方便离线部署使用
tar -czvf k8s-init-Kylin_V10-arm.tar.gz ./k8s-init/*
2.4 下载ks相关镜像
下载kubesphere3.3.1所需要的arm镜像
#!/bin/bash
#
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/ks-console:v3.3.1
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/ks-controller-manager:v3.3.1
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/ks-installer:v3.3.1
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/ks-apiserver:v3.3.1
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/openpitrix-jobs:v3.3.1
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/alpine:3.14
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/kube-apiserver:v1.22.12
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/kube-scheduler:v1.22.12
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/kube-proxy:v1.22.12
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/kube-controller-manager:v1.22.12
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/provisioner-localpv:3.3.0
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/linux-utils:3.3.0
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/kube-controllers:v3.23.2
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/cni:v3.23.2
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/pod2daemon-flexvol:v3.23.2
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/node:v3.23.2
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/kube-state-metrics:v2.5.0
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/fluent-bit:v1.8.11
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/prometheus-config-reloader:v0.55.1
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/prometheus-operator:v0.55.1
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/thanos:v0.25.2
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/prometheus:v2.34.0
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/fluentbit-operator:v0.13.0
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/node-exporter:v1.3.1
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/kubectl:v1.22.0
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/notification-manager:v1.4.0
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/notification-tenant-sidecar:v3.2.0
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/notification-manager-operator:v1.4.0
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/alertmanager:v0.23.0
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/kube-rbac-proxy:v0.11.0
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/docker:19.03
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/pause:3.5
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/configmap-reload:v0.5.0
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/snapshot-controller:v4.0.0
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/kube-rbac-proxy:v0.8.0
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/coredns:1.8.0
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/log-sidecar-injector:1.1
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/k8s-dns-node-cache:1.15.12
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/mc:RELEASE.2019-08-07T23-14-43Z
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/minio:RELEASE.2019-08-07T01-59-21Z
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/defaultbackend-amd64:1.4
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/redis:5.0.14-alpine
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/haproxy:2.3
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/opensearch:2.6.0
docker pull registry.cn-beijing.aliyuncs.com/kubesphereio/busybox:latest
docker pull kubesphere/fluent-bit:v2.0.6
这里使用ks阿里云镜像,其中有些镜像会下载失败,具体可查看运维有术文章。对于下载失败的镜像,可通过本地电脑,直接去hub.docker.com下载。例如:
docker pull kubesphere/fluent-bit:v2.0.6 --platform arm64
#官方ks-console:v3.3.1(arm版)在麒麟中跑不起来,据运维有术介绍,需要使用node14基础镜像。当在鲲鹏服务器准备自己构建时报错淘宝源https过期,使用https://registry.npmmirror.com仍然报错,于是放弃使用该3.3.0镜像,重命名为3.3.1
docker pull zl862520682/ks-console:v3.3.0
docker tag zl862520682/ks-console:v3.3.0 dockerhub.kubekey.local/kubesphereio/ks-console:v3.3.1
## mc和minio也需要重新拉取打tag
docker pull minio/minio:RELEASE.2020-11-25T22-36-25Z-arm64
docker tag minio/minio:RELEASE.2020-11-25T22-36-25Z-arm64 dockerhub.kubekey.local/kubesphereio/minio:RELEASE
2.5 重命名镜像
重新给镜像打tag,标记为私有仓库镜像
docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/kube-controllers:v3.27.3 dockerhub.kubekey.local/kubesphereio/kube-controllers:v3.27.3docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/cni:v3.27.3 dockerhub.kubekey.local/kubesphereio/cni:v3.27.3docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/pod2daemon-flexvol:v3.27.3 dockerhub.kubekey.local/kubesphereio/pod2daemon-flexvol:v3.27.3docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/node:v3.27.3 dockerhub.kubekey.local/kubesphereio/node:v3.27.3docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/ks-console:v3.3.1 dockerhub.kubekey.local/kubesphereio/ks-console:v3.3.1docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/alpine:3.14 dockerhub.kubekey.local/kubesphereio/alpine:3.14docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/k8s-dns-node-cache:1.22.20 dockerhub.kubekey.local/kubesphereio/k8s-dns-node-cache:1.22.20docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/ks-controller-manager:v3.3.1 dockerhub.kubekey.local/kubesphereio/ks-controller-manager:v3.3.1docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/ks-installer:v3.3.1 dockerhub.kubekey.local/kubesphereio/ks-installer:v3.3.1docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/ks-apiserver:v3.3.1 dockerhub.kubekey.local/kubesphereio/ks-apiserver:v3.3.1docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/openpitrix-jobs:v3.3.1 dockerhub.kubekey.local/kubesphereio/openpitrix-jobs:v3.3.1docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/kube-apiserver:v1.22.12 dockerhub.kubekey.local/kubesphereio/kube-apiserver:v1.22.12docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/kube-proxy:v1.22.12 dockerhub.kubekey.local/kubesphereio/docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/kube-controller-manager:v1.22.12 dockerhub.kubekey.local/kubesphereio/kube-controller-manager:v1.22.12docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/kube-scheduler:v1.22.12 dockerhub.kubekey.local/kubesphereio/kube-scheduler:v1.22.12docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/provisioner-localpv:3.3.0 dockerhub.kubekey.local/kubesphereio/provisioner-localpv:3.3.0docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/linux-utils:3.3.0 dockerhub.kubekey.local/kubesphereio/linux-utils:3.3.0docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/kube-state-metrics:v2.5.0 dockerhub.kubekey.local/kubesphereio/kube-state-metrics:v2.5.0docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/fluent-bit:v1.8.11 dockerhub.kubekey.local/kubesphereio/fluent-bit:v1.8.11docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/prometheus-config-reloader:v0.55.1 dockerhub.kubekey.local/kubesphereio/prometheus-config-reloader:v0.55.1docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/prometheus-operator:v0.55.1 dockerhub.kubekey.local/kubesphereio/prometheus-operator:v0.55.1docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/thanos:v0.25.2 dockerhub.kubekey.local/kubesphereio/thanos:v0.25.2docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/prometheus:v2.34.0 dockerhub.kubekey.local/kubesphereio/prometheus:v2.34.0docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/fluentbit-operator:v0.13.0 dockerhub.kubekey.local/kubesphereio/fluentbit-operator:v0.13.0docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/node-exporter:v1.3.1 dockerhub.kubekey.local/kubesphereio/node-exporter:v1.3.1docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/kubectl:v1.22.0 dockerhub.kubekey.local/kubesphereio/kubectl:v1.22.0docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/notification-manager:v1.4.0 dockerhub.kubekey.local/kubesphereio/notification-manager:v1.4.0docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/notification-tenant-sidecar:v3.2.0 dockerhub.kubekey.local/kubesphereio/notification-tenant-sidecar:v3.2.0docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/notification-manager-operator:v1.4.0 dockerhub.kubekey.local/kubesphereio/notification-manager-operator:v1.4.0docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/alertmanager:v0.23.0 dockerhub.kubekey.local/kubesphereio/alertmanager:v0.23.0docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/kube-rbac-proxy:v0.11.0 dockerhub.kubekey.local/kubesphereio/kube-rbac-proxy:v0.11.0docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/docker:19.03 dockerhub.kubekey.local/kubesphereio/docker:19.03docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/metrics-server:v0.4.2 dockerhub.kubekey.local/kubesphereio/metrics-server:v0.4.2docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/pause:3.5 dockerhub.kubekey.local/kubesphereio/pause:3.5docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/configmap-reload:v0.5.0 dockerhub.kubekey.local/kubesphereio/configmap-reload:v0.5.0docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/snapshot-controller:v4.0.0 dockerhub.kubekey.local/kubesphereio/snapshot-controller:v4.0.0docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/mc:RELEASE.2019-08-07T23-14-43Z dockerhub.kubekey.local/kubesphereio/mc:RELEASE.2019-08-07T23-14-43Zdocker tag registry.cn-beijing.aliyuncs.com/kubesphereio/minio:RELEASE.2019-08-07T01-59-21Z dockerhub.kubekey.local/kubesphereio/minio:RELEASE.2019-08-07T01-59-21Zdocker tag registry.cn-beijing.aliyuncs.com/kubesphereio/kube-rbac-proxy:v0.8.0 dockerhub.kubekey.local/kubesphereio/kube-rbac-proxy:v0.8.0docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/coredns:1.8.0 dockerhub.kubekey.local/kubesphereio/coredns:1.8.0docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/log-sidecar-injector:1.1 dockerhub.kubekey.local/kubesphereio/log-sidecar-injector:1.1docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/defaultbackend-amd64:1.4 dockerhub.kubekey.local/kubesphereio/defaultbackend-amd64:1.4docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/kube-proxy:v1.22.12 dockerhub.kubekey.local/kubesphereio/kube-proxy:v1.22.12
docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/k8s-dns-node-cache:1.22.20 dockerhub.kubekey.local/kubesphereio/k8s-dns-node-cache:1.15.12
docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/kube-controllers:v3.23.2 dockerhub.kubekey.local/kubesphereio/kube-controllers:v3.23.2
docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/cni:v3.23.2 dockerhub.kubekey.local/kubesphereio/cni:v3.23.2
docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/pod2daemon-flexvol:v3.23.2 dockerhub.kubekey.local/kubesphereio/pod2daemon-flexvol:v3.23.2
docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/node:v3.23.2 dockerhub.kubekey.local/kubesphereio/node:v3.23.2
docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/opensearch:2.6.0 dockerhub.kubekey.local/kubesphereio/opensearch:2.6.0
docker tag registry.cn-beijing.aliyuncs.com/kubesphereio/busybox:latest dockerhub.kubekey.local/kubesphereio/busybox:latest
docker tag kubesphere/fluent-bit:v2.0.6 dockerhub.kubekey.local/kubesphereio/fluent-bit:v2.0.6 # 也可重命名为v1.8.11,可省下后续修改fluent的yaml,这里采用后修改方式
2.6 推送至harbor私有仓库
#!/bin/bash
# docker load < ks3.3.1-images.tar.gzdocker login -u admin -p Harbor12345 dockerhub.kubekey.localdocker push dockerhub.kubekey.local/kubesphereio/ks-console:v3.3.1
docker push dockerhub.kubekey.local/kubesphereio/ks-controller-manager:v3.3.1
docker push dockerhub.kubekey.local/kubesphereio/ks-installer:v3.3.1
docker push dockerhub.kubekey.local/kubesphereio/ks-apiserver:v3.3.1
docker push dockerhub.kubekey.local/kubesphereio/openpitrix-jobs:v3.3.1
docker push dockerhub.kubekey.local/kubesphereio/alpine:3.14
docker push dockerhub.kubekey.local/kubesphereio/kube-apiserver:v1.22.12
docker push dockerhub.kubekey.local/kubesphereio/kube-scheduler:v1.22.12
docker push dockerhub.kubekey.local/kubesphereio/kube-proxy:v1.22.12
docker push dockerhub.kubekey.local/kubesphereio/kube-controller-manager:v1.22.12
docker push dockerhub.kubekey.local/kubesphereio/provisioner-localpv:3.3.0
docker push dockerhub.kubekey.local/kubesphereio/linux-utils:3.3.0
docker push dockerhub.kubekey.local/kubesphereio/kube-controllers:v3.23.2
docker push dockerhub.kubekey.local/kubesphereio/cni:v3.23.2
docker push dockerhub.kubekey.local/kubesphereio/pod2daemon-flexvol:v3.23.2
docker push dockerhub.kubekey.local/kubesphereio/node:v3.23.2
docker push dockerhub.kubekey.local/kubesphereio/kube-state-metrics:v2.5.0
docker push dockerhub.kubekey.local/kubesphereio/fluent-bit:v1.8.11
docker push dockerhub.kubekey.local/kubesphereio/prometheus-config-reloader:v0.55.1
docker push dockerhub.kubekey.local/kubesphereio/prometheus-operator:v0.55.1
docker push dockerhub.kubekey.local/kubesphereio/thanos:v0.25.2
docker push dockerhub.kubekey.local/kubesphereio/prometheus:v2.34.0
docker push dockerhub.kubekey.local/kubesphereio/fluentbit-operator:v0.13.0
docker push dockerhub.kubekey.local/kubesphereio/node-exporter:v1.3.1
docker push dockerhub.kubekey.local/kubesphereio/kubectl:v1.22.0
docker push dockerhub.kubekey.local/kubesphereio/notification-manager:v1.4.0
docker push dockerhub.kubekey.local/kubesphereio/notification-tenant-sidecar:v3.2.0
docker push dockerhub.kubekey.local/kubesphereio/notification-manager-operator:v1.4.0
docker push dockerhub.kubekey.local/kubesphereio/alertmanager:v0.23.0
docker push dockerhub.kubekey.local/kubesphereio/kube-rbac-proxy:v0.11.0
docker push dockerhub.kubekey.local/kubesphereio/docker:19.03
docker push dockerhub.kubekey.local/kubesphereio/pause:3.5
docker push dockerhub.kubekey.local/kubesphereio/configmap-reload:v0.5.0
docker push dockerhub.kubekey.local/kubesphereio/snapshot-controller:v4.0.0
docker push dockerhub.kubekey.local/kubesphereio/kube-rbac-proxy:v0.8.0
docker push dockerhub.kubekey.local/kubesphereio/coredns:1.8.0
docker push dockerhub.kubekey.local/kubesphereio/log-sidecar-injector:1.1
docker push dockerhub.kubekey.local/kubesphereio/k8s-dns-node-cache:1.15.12
docker push dockerhub.kubekey.local/kubesphereio/mc:RELEASE.2019-08-07T23-14-43Z
docker push dockerhub.kubekey.local/kubesphereio/minio:RELEASE.2019-08-07T01-59-21Z
docker push dockerhub.kubekey.local/kubesphereio/defaultbackend-amd64:1.4
docker push dockerhub.kubekey.local/kubesphereio/redis:5.0.14-alpine
docker push dockerhub.kubekey.local/kubesphereio/haproxy:2.3
docker push dockerhub.kubekey.local/kubesphereio/opensearch:2.6.0
docker push dockerhub.kubekey.local/kubesphereio/busybox:latest
docker push dockerhub.kubekey.local/kubesphereio/fluent-bit:v2.0.6
3. 使用kk部署kubesphere
3.1 移除麒麟系统自带的podman
podman是麒麟系统自带的容器引擎,为避免后续与docker冲突,直接卸载。否则后续coredns/nodelocaldns也会受影响无法启动以及各种docker权限问题。
yum remove podman
3.2 下载kubekey
下载 kubekey-v2.3.1-linux-arm64.tar.gz。具体 KubeKey 版本号可以在 KubeKey 发行页面([1]) 查看。
-
方式一
cd ~ mkdir kubesphere cd kubesphere/# 选择中文区下载(访问 GitHub 受限时使用) export KKZONE=cn# 执行下载命令,获取最新版的 kk(受限于网络,有时需要执行多次) curl -sfL https://get-kk.kubesphere.io/v2.3.1/kubekey-v2.3.1-linux-arm64.tar.gz | tar xzf -
-
方式二
使用本地电脑,直接去github下载 Releases · kubesphere/kubekey
上传至服务器/root/kubesphere目录解压
tar zxf kubekey-v2.3.1-linux-arm64.tar.gz
3.3 生成集群创建配置文件
创建集群配置文件,本示例中,选择 KubeSphere v3.3.1 和 Kubernetes v1.22.12。
./kk create config -f kubesphere-v331-v12212.yaml --with-kubernetes v1.22.12 --with-kubesphere v3.3.1
命令执行成功后,在当前目录会生成文件名为 kubesphere-v331-v12212.yaml 的配置文件。
注意: 生成的默认配置文件内容较多,这里就不做过多展示了,更多详细的配置参数请参考 官方配置示例。
本文示例采用 3 个节点同时作为 control-plane、etcd 节点和 worker 节点。
编辑配置文件 kubesphere-v331-v12212.yaml
,主要修改 kind: Cluster 和 kind: ClusterConfiguration 两小节的相关配置
修改 kind: Cluster 小节中 hosts 和 roleGroups 等信息,修改说明如下。
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hosts:指定节点的 IP、ssh 用户、ssh 密码、ssh 端口。特别注意: 一定要手工指定 arch: arm64,否则部署的时候会安装 X86 架构的软件包。
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roleGroups:指定 3 个 etcd、control-plane 节点,复用相同的机器作为 3 个 worker 节点。
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internalLoadbalancer:启用内置的 HAProxy 负载均衡器。
-
domain:自定义了一个 opsman.top
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containerManager:使用了 containerd
-
storage.openebs.basePath:新增配置,指定默认存储路径为 /data/openebs/local
修改后的示例如下:
apiVersion: kubekey.kubesphere.io/v1alpha2
kind: Cluster
metadata:name: sample
spec:hosts:- {name: node1, address: 192.168.200.7, internalAddress: 192.168.200.7, user: root, password: "123456", arch: arm64}roleGroups:etcd:- node1control-plane: - node1worker:- node1registry:- node1controlPlaneEndpoint:## Internal loadbalancer for apiservers # internalLoadbalancer: haproxydomain: lb.kubesphere.localaddress: ""port: 6443kubernetes:version: v1.22.12clusterName: cluster.localautoRenewCerts: truecontainerManager: dockeretcd:type: kubekeynetwork:plugin: calicokubePodsCIDR: 10.233.64.0/18kubeServiceCIDR: 10.233.0.0/18## multus support. https://github.com/k8snetworkplumbingwg/multus-cnimultusCNI:enabled: falseregistry:type: harborauths:"dockerhub.kubekey.local":username: adminpassword: Harbor12345privateRegistry: "dockerhub.kubekey.local"namespaceOverride: "kubesphereio"registryMirrors: []insecureRegistries: []addons: []---
apiVersion: installer.kubesphere.io/v1alpha1
kind: ClusterConfiguration
metadata:name: ks-installernamespace: kubesphere-systemlabels:version: v3.3.1
spec:persistence:storageClass: ""authentication:jwtSecret: ""zone: ""local_registry: ""namespace_override: ""# dev_tag: ""etcd:monitoring: trueendpointIps: localhostport: 2379tlsEnable: truecommon:core:console:enableMultiLogin: trueport: 30880type: NodePort# apiserver:# resources: {}# controllerManager:# resources: {}redis:enabled: falsevolumeSize: 2Giopenldap:enabled: falsevolumeSize: 2Giminio:volumeSize: 20Gimonitoring:# type: externalendpoint: http://prometheus-operated.kubesphere-monitoring-system.svc:9090GPUMonitoring:enabled: falsegpu:kinds:- resourceName: "nvidia.com/gpu"resourceType: "GPU"default: truees:# master:# volumeSize: 4Gi# replicas: 1# resources: {}# data:# volumeSize: 20Gi# replicas: 1# resources: {}logMaxAge: 7elkPrefix: logstashbasicAuth:enabled: falseusername: ""password: ""externalElasticsearchHost: ""externalElasticsearchPort: ""alerting:enabled: true# thanosruler:# replicas: 1# resources: {}auditing:enabled: false# operator:# resources: {}# webhook:# resources: {}devops:enabled: false# resources: {}jenkinsMemoryLim: 8GijenkinsMemoryReq: 4GijenkinsVolumeSize: 8Gievents:enabled: false# operator:# resources: {}# exporter:# resources: {}# ruler:# enabled: true# replicas: 2# resources: {}logging:enabled: truelogsidecar:enabled: truereplicas: 2# resources: {}metrics_server:enabled: falsemonitoring: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: nonenetwork:networkpolicy:enabled: falseippool:type: nonetopology:type: noneopenpitrix:store:enabled: trueservicemesh:enabled: falseistio:components:ingressGateways:- name: istio-ingressgatewayenabled: falsecni:enabled: falseedgeruntime:enabled: falsekubeedge:enabled: falsecloudCore:cloudHub:advertiseAddress:- ""service:cloudhubNodePort: "30000"cloudhubQuicNodePort: "30001"cloudhubHttpsNodePort: "30002"cloudstreamNodePort: "30003"tunnelNodePort: "30004"# resources: {}# hostNetWork: falseiptables-manager:enabled: truemode: "external"# resources: {}# edgeService:# resources: {}terminal:timeout: 600
3.4 执行安装
./kk create cluster -f kubesphere-v331-v122123.yaml
此节点之所以安装kubesphere是因为kk在安装过程中会产生kubekey文件夹并将k8s所需要的依赖都下载到kubekey目录。后续我们离线安装主要使用kubekey文件夹,配合一下脚本代替之前的制品。
4. 制作离线部署资源
4.1 导出k8s基础依赖包
yum -y install openssl socat conntrack ipset ebtables chrony ipvsadm --downloadonly --downloaddir /root/kubesphere/k8s-init
# 打成压缩包
tar -czvf k8s-init-Kylin_V10-arm.tar.gz ./k8s-init/*
4.2 导出ks需要的镜像
导出ks相关的镜像至ks3.3.1-images.tar
docker save -o ks3.3.1-images.tar dockerhub.kubekey.local/kubesphereio/kube-controllers:v3.27.3 dockerhub.kubekey.local/kubesphereio/cni:v3.27.3 dockerhub.kubekey.local/kubesphereio/pod2daemon-flexvol:v3.27.3 dockerhub.kubekey.local/kubesphereio/node:v3.27.3 dockerhub.kubekey.local/kubesphereio/ks-console:v3.3.1 dockerhub.kubekey.local/kubesphereio/alpine:3.14 dockerhub.kubekey.local/kubesphereio/k8s-dns-node-cache:1.22.20 dockerhub.kubekey.local/kubesphereio/ks-controller-manager:v3.3.1 dockerhub.kubekey.local/kubesphereio/ks-installer:v3.3.1 dockerhub.kubekey.local/kubesphereio/ks-apiserver:v3.3.1 dockerhub.kubekey.local/kubesphereio/openpitrix-jobs:v3.3.1 dockerhub.kubekey.local/kubesphereio/kube-apiserver:v1.22.12 dockerhub.kubekey.local/kubesphereio/kube-proxy:v1.22.12 dockerhub.kubekey.local/kubesphereio/kube-controller-manager:v1.22.12 dockerhub.kubekey.local/kubesphereio/kube-scheduler:v1.22.12 dockerhub.kubekey.local/kubesphereio/provisioner-localpv:3.3.0 dockerhub.kubekey.local/kubesphereio/linux-utils:3.3.0 dockerhub.kubekey.local/kubesphereio/kube-state-metrics:v2.5.0 dockerhub.kubekey.local/kubesphereio/fluent-bit:v2.0.6 dockerhub.kubekey.local/kubesphereio/prometheus-config-reloader:v0.55.1 dockerhub.kubekey.local/kubesphereio/prometheus-operator:v0.55.1 dockerhub.kubekey.local/kubesphereio/thanos:v0.25.2 dockerhub.kubekey.local/kubesphereio/prometheus:v2.34.0 dockerhub.kubekey.local/kubesphereio/fluentbit-operator:v0.13.0 dockerhub.kubekey.local/kubesphereio/node-exporter:v1.3.1 dockerhub.kubekey.local/kubesphereio/kubectl:v1.22.0 dockerhub.kubekey.local/kubesphereio/notification-manager:v1.4.0 dockerhub.kubekey.local/kubesphereio/notification-tenant-sidecar:v3.2.0 dockerhub.kubekey.local/kubesphereio/notification-manager-operator:v1.4.0 dockerhub.kubekey.local/kubesphereio/alertmanager:v0.23.0 dockerhub.kubekey.local/kubesphereio/kube-rbac-proxy:v0.11.0 dockerhub.kubekey.local/kubesphereio/docker:19.03 dockerhub.kubekey.local/kubesphereio/metrics-server:v0.4.2 dockerhub.kubekey.local/kubesphereio/pause:3.5 dockerhub.kubekey.local/kubesphereio/configmap-reload:v0.5.0 dockerhub.kubekey.local/kubesphereio/snapshot-controller:v4.0.0 dockerhub.kubekey.local/kubesphereio/mc:RELEASE.2019-08-07T23-14-43Z dockerhub.kubekey.local/kubesphereio/minio:RELEASE.2019-08-07T01-59-21Z dockerhub.kubekey.local/kubesphereio/kube-rbac-proxy:v0.8.0 dockerhub.kubekey.local/kubesphereio/coredns:1.8.0 dockerhub.kubekey.local/kubesphereio/defaultbackend-amd64:1.4 dockerhub.kubekey.local/kubesphereio/redis:5.0.14-alpine dockerhub.kubekey.local/kubesphereio/k8s-dns-node-cache:1.15.12 dockerhub.kubekey.local/kubesphereio/node:v3.23.2 dockerhub.kubekey.local/kubesphereio/pod2daemon-flexvol:v3.23.2 dockerhub.kubekey.local/kubesphereio/cni:v3.23.2 dockerhub.kubekey.local/kubesphereio/kube-controllers:v3.23.2 dockerhub.kubekey.local/kubesphereio/haproxy:2.3 dockerhub.kubekey.local/kubesphereio/busybox:latest dockerhub.kubekey.local/kubesphereio/opensearch:2.6.0 dockerhub.kubekey.local/kubesphereio/fluent-bit:v2.0.6
压缩
gzip ks3.3.1-images.tar
4.3 导出kubesphere文件夹
[root@node1 ~]# cd /root/kubesphere
[root@node1 kubesphere]# ls
create_project_harbor.sh docker-24.0.7-arm.tar.gz fluent-bit-daemonset.yaml harbor-arm.tar.gz harbor.tar.gz install.sh k8s-init-Kylin_V10-arm.tar.gz ks3.3.1-images.tar.gz ks3.3.1-offline push-images.shtar -czvf kubeshpere.tar.gz ./kubesphere/*
编写install.sh用于后续一键离线安装kk
#!/usr/bin/env bash
read -p "请先修改机器配置文件ks3.3.1-offline/kubesphere-v331-v12212.yaml中相关IP地址,是否已修改(yes/no)" B
do_k8s_init(){echo "--------开始进行依赖包初始化------"yum remove podman -ytar zxf k8s-init-Kylin_V10-arm.tar.gzcd k8s-init && ./install.shcd -rm -rf k8s-init
}install_docker(){echo "--------开始安装docker--------"tar zxf docker-24.0.7-arm.tar.gzcd docker && ./install.shcd -}
install_harbor(){echo "-------开始安装harbor----------"tar zxf harbor-arm.tar.gzcd harbor && ./install.shcd -echo "--------开始推送镜像----------"source create_project_harbor.shsource push-images.shecho "--------镜像推送完成--------"
}
install_ks(){echo "--------开始安装kubesphere--------"
# tar zxf ks3.3.1-offline.tar.gzcd ks3.3.1-offline && ./install.sh
}if [ "$B" = "yes" ] || [ "$B" = "y" ]; thendo_k8s_initinstall_dockerinstall_harborinstall_ks
elseecho "请先配置集群配置文件"exit 1
fi
5. 离线环境安装k8s和kubesphere
5.1 卸载podman和安装k8s依赖
所有节点都需要操作,
上传k8s-init-Kylin_V10-arm.tar.gz并解压后执行install.sh,如果单节点离线部署可直接使用下一步。
yum remove podman -y
5.2 安装ks集群
上传kubeshpere.tar.gz并解压,修改./kubesphere/ks3.3.1-offline/kubesphere-v331-v12212.yaml集群配置文件中相关ip,密码等信息。修改后执行install.sh,等待十分钟左右可看到如下消息:
**************************************************
Waiting for all tasks to be completed ...
task alerting status is successful (1/6)
task network status is successful (2/6)
task multicluster status is successful (3/6)
task openpitrix status is successful (4/6)
task logging status is successful (5/6)
task monitoring status is successful (6/6)
**************************************************
Collecting installation results ...
#####################################################
### Welcome to KubeSphere! ###
#####################################################Console: http://192.168.10.2:30880
Account: admin
Password: P@88w0rd
NOTES:1. After you log into the console, please check themonitoring status of service components in"Cluster Management". If any service is notready, please wait patiently until all components are up and running.2. Please change the default password after login.#####################################################
https://kubesphere.io 2024-07-03 11:10:11
#####################################################
5.3 其他修改
由于开启了日志功能,arm-麒麟版本fluent-bit一直报错,需更改为2.0.6
kubectl edit daemonsets fluent-bit -n kubesphere-logging-system
#修改其中fluent-bit版本1.8.11为2.0.6
如果不需要日志,可以修改ks创建集群配置文件不安装log插件,镜像也可以更加简化
6.测试查看
6.1 验证集群状态
[root@node1 ~]# kubectl get nodes
NAME STATUS ROLES AGE VERSION
node1 Ready control-plane,master,worker 25h v1.22.12
node2 Ready control-plane,master,worker 25h v1.22.12
node3 Ready control-plane,master,worker 25h v1.22.12
页面查看
7.总结
本文主要实战演示了ARM 版 麒麟 V10服务器通过在线环境部署k8s和kubesphere,并将基础依赖,需要的docker镜像和harbor,以及kubekey部署ks下载的各类包一起打包。通过shell脚本编写简单的部署过程,实现离线环境安装k8s和kubesphere。
离线安装主要知识点
-
卸载podman
-
安装k8s依赖包
-
安装Docker
-
安装harbor
-
将k8s和ks需要的镜像推送到harbor
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使用kk部署集群