在部署高可用k8s之前,我们先来说一说单master架构和多master架构,以及多master架构中各组件工作逻辑
k8s单master架构
提示:这种单master节点的架构,通常只用于测试环境,生产环境绝对不允许;这是因为k8s集群master的节点是单点,一旦master节点宕机,将导致整个集群不可用;其次单master节点apiServer是性能瓶颈;从上图我们就可以看到,master节点所有组件和node节点中的kubelet和客户端kubectl、dashboard都会连接apiserver,同时apiserver还要负责往etcd中更新或读取数据,对客户端的请求做认证、准入控制等;很显然apiserver此时是非常忙碌的,极易成为整个K8S集群的瓶颈;所以不推荐在生产环境中使用单master架构;
k8s多master架构
提示:k8s高可用主要是对master节点组件高可用;其中apiserver高可用的逻辑就是通过启用多个实例来对apiserver做高可用;apiserver从某种角度讲它应该是一个有状态服务,但为了降低apiserver的复杂性,apiserver将数据存储到etcd中,从而使得apiserver从有状态服务变成了一个无状态服务;所以高可用apiserver我们只需要启用多个实例通过一个负载均衡器来反向代理多个apiserver,客户端和node的节点的kubelet通过负载均衡器来连接apiserver即可;对于controller-manager、scheduler这两个组件来说,高可用的逻辑也是启用多个实例来实现的,不同与apiserver,这两个组件由于工作逻辑的独特性,一个k8s集群中有且只有一个controller-manager和scheduler在工作,所以启动多个实例它们必须工作在主备模式,即一个active,多个backup的模式;它们通过分布式锁的方式实现内部选举,决定谁来工作,最终抢到分布式锁(k8s集群endpoint)的controller-manager、scheduler成为active状态代表集群controller-manager、scheduler组件工作,抢到锁的controller-manager和scheduler会周期性的向apiserver通告自己的心跳信息,以维护自己active状态,避免其他controller-manager、scheduler进行抢占;其他controller-manager、scheduler收到活动的controller-manager、scheduler通过的心跳信息后自动切换为backup状态;一旦在规定时间备用controller-manager、scheduler没有收到活动的controller-manager、scheduler的心跳,此时就会触发选举,重复上述过程;
服务器规划
基础环境部署
重新生成machine-id
root@k8s-deploy:~# cat /etc/machine-id 1d2aeda997bd417c838377e601fd8e10 root@k8s-deploy:~# rm -rf /etc/machine-id && dbus-uuidgen --ensure=/etc/machine-id && cat /etc/machine-id 8340419bb01397bf654c596f6443cabf root@k8s-deploy:~#
提示:如果你的环境是通过某一个虚拟机基于快照克隆出来的虚拟机,很有可能对应machine-id一样,可以通过上述命令将对应虚拟机的machine-id修改成不一样;注意上述命令不能再crt中同时对多个虚拟机执行,同时对多个虚拟机执行,生成的machine-id是一样的;
内核参数优化
root@deploy:~# cat /etc/sysctl.conf net.ipv4.ip_forward=1 vm.max_map_count=262144 kernel.pid_max=4194303 fs.file-max=1000000 net.ipv4.tcp_max_tw_buckets=6000 net.netfilter.nf_conntrack_max=2097152 net.bridge.bridge-nf-call-ip6tables = 1 net.bridge.bridge-nf-call-iptables = 1 vm.swappiness=0
系统资源限制
root@deploy:~# tail -10 /etc/security/limits.conf root soft core unlimited root hard core unlimited root soft nproc 1000000 root hard nproc 1000000 root soft nofile 1000000 root hard nofile 1000000 root soft memlock 32000 root hard memlock 32000 root soft msgqueue 8192000 root hard msgqueue 8192000 root@deploy:~#
内核模块挂载
root@deploy:~# cat /etc/modules-load.d/modules.conf # /etc/modules: kernel modules to load at boot time. # # This file contains the names of kernel modules that should be loaded # at boot time, one per line. Lines beginning with "#" are ignored. ip_vs ip_vs_lc ip_vs_lblc ip_vs_lblcr ip_vs_rr ip_vs_wrr ip_vs_sh ip_vs_dh ip_vs_fo ip_vs_nq ip_vs_sed ip_vs_ftp ip_vs_sh ip_tables ip_set ipt_set ipt_rpfilter ipt_REJECT ipip xt_set br_netfilter nf_conntrack overlay root@deploy:~#
禁用SWAP
root@deploy:~# free -mh total used free shared buff/cache available Mem: 3.8Gi 249Mi 3.3Gi 1.0Mi 244Mi 3.3Gi Swap: 3.8Gi 0B 3.8Gi root@deploy:~# swapoff -a root@deploy:~# sed -i '/swap/s@^@#@' /etc/fstab root@deploy:~# cat /etc/fstab # /etc/fstab: static file system information. # # Use 'blkid' to print the universally unique identifier for a # device; this may be used with UUID= as a more robust way to name devices # that works even if disks are added and removed. See fstab(5). # ## / was on /dev/ubuntu-vg/ubuntu-lv during curtin installation /dev/disk/by-id/dm-uuid-LVM-yecQxSAXrKdCNj1XNrQeaacvLAmKdL5SVadOXV0zHSlfkdpBEsaVZ9erw8Ac9gpm / ext4 defaults 0 1 # /boot was on /dev/sda2 during curtin installation /dev/disk/by-uuid/80fe59b8-eb79-4ce9-a87d-134bc160e976 /boot ext4 defaults 0 1 #/swap.img none swap sw 0 0 root@deploy:~#
提示:以上操作建议在每个节点都做一下,然后把所有节点都重启;
1、基于keepalived及haproxy部署高可用负载均衡
下载安装keepalived和haproxy
root@k8s-ha01:~#apt update && apt install keepalived haproxy -y root@k8s-ha02:~#apt update && apt install keepalived haproxy -y
在ha01上创建/etc/keepalived/keepalived.conf
root@k8s-ha01:~# cat /etc/keepalived/keepalived.conf ! Configuration File for keepalived global_defs { notification_email { acassen } notification_email_from Alexandre.Cassen@firewall.loc smtp_server 192.168.200.1 smtp_connect_timeout 30 router_id LVS_DEVEL } vrrp_instance VI_1 { state MASTER interface ens160 garp_master_delay 10 smtp_alert virtual_router_id 51 priority 100 advert_int 1 authentication { auth_type PASS auth_pass 1111 } virtual_ipaddress { 192.168.0.111 dev ens160 label ens160:0 } } root@k8s-ha01:~#
将配置文件复制给ha02
root@k8s-ha01:~# scp /etc/keepalived/keepalived.conf ha02:/etc/keepalived/keepalived.conf keepalived.conf 100% 545 896.6KB/s 00:00 root@k8s-ha01:~#
在ha02上编辑/etc/keepalived/keepalived.conf
提示:ha02上主要修改优先级和声明角色状态,如上图所示;
在ha02上启动keepalived并设置开机启动
root@k8s-ha02:~# systemctl start keepalived root@k8s-ha02:~# systemctl enable keepalived Synchronizing state of keepalived.service with SysV service script with /lib/systemd/systemd-sysv-install. Executing: /lib/systemd/systemd-sysv-install enable keepalived root@k8s-ha02:~#
验证:在ha02上查看对应vip是否存在?
在ha01启动keepalived并设置为开机启动,看看对应vip是否会漂移至ha01呢?
提示:可以看到在ha01上启动keepalived以后,对应vip就漂移到ha01上了;这是因为ha01上的keepalived的优先级要比ha02高;
测试:停止ha01上的keepalived,看看vip是否会漂移至ha02上呢?
提示:能够看到在ha01停止keepalived以后,对应vip会自动漂移至ha02;
验证:用集群其他主机ping vip看看对应是否能够ping通呢?
root@k8s-node03:~# ping 192.168.0.111 PING 192.168.0.111 (192.168.0.111) 56(84) bytes of data. 64 bytes from 192.168.0.111: icmp_seq=1 ttl=64 time=2.04 ms 64 bytes from 192.168.0.111: icmp_seq=2 ttl=64 time=1.61 ms ^C --- 192.168.0.111 ping statistics --- 2 packets transmitted, 2 received, 0% packet loss, time 1005ms rtt min/avg/max/mdev = 1.611/1.827/2.043/0.216 ms root@k8s-node03:~#
提示:能够用集群其他主机ping vip说明vip是可用的,至此keepalived配置好了;
配置haproxy
编辑/etc/haproxy/haproxy.cfg
root@k8s-ha01:~# cat /etc/haproxy/haproxy.cfg global log /dev/log local0 log /dev/log local1 notice chroot /var/lib/haproxy stats socket /run/haproxy/admin.sock mode 660 level admin expose-fd listeners stats timeout 30s user haproxy group haproxy daemon # Default SSL material locations ca-base /etc/ssl/certs crt-base /etc/ssl/private # See: https://ssl-config.mozilla.org/#server=haproxy&server-version=2.0.3&config=intermediate ssl-default-bind-ciphers ECDHE-ECDSA-AES128-GCM-SHA256:ECDHE-RSA-AES128-GCM-SHA256:ECDHE-ECDSA-AES256-GCM-SHA384:ECDHE-RSA-AES256-GCM-SHA384:ECDHE-ECDSA-CHACHA20-POLY1305:ECDHE-RSA-CHACHA20-POLY1305:DHE-RSA-AES128-GCM-SHA256:DHE-RSA-AES256-GCM-SHA384 ssl-default-bind-ciphersuites TLS_AES_128_GCM_SHA256:TLS_AES_256_GCM_SHA384:TLS_CHACHA20_POLY1305_SHA256 ssl-default-bind-options ssl-min-ver TLSv1.2 no-tls-tickets defaults log global mode http option httplog option dontlognull timeout connect 5000 timeout client 50000 timeout server 50000 errorfile 400 /etc/haproxy/errors/400.http errorfile 403 /etc/haproxy/errors/403.http errorfile 408 /etc/haproxy/errors/408.http errorfile 500 /etc/haproxy/errors/500.http errorfile 502 /etc/haproxy/errors/502.http errorfile 503 /etc/haproxy/errors/503.http errorfile 504 /etc/haproxy/errors/504.http listen k8s_apiserver_6443 bind 192.168.0.111:6443 mode tcp #balance leastconn server k8s-master01 192.168.0.31:6443 check inter 2000 fall 3 rise 5 server k8s-master02 192.168.0.32:6443 check inter 2000 fall 3 rise 5 server k8s-master03 192.168.0.33:6443 check inter 2000 fall 3 rise 5 root@k8s-ha01:~#
把上述配置复制给ha02
root@k8s-ha01:~# scp /etc/haproxy/haproxy.cfg ha02:/etc/haproxy/haproxy.cfg haproxy.cfg 100% 1591 1.7MB/s 00:00 root@k8s-ha01:~#
在ha01上启动haproxy,并将haproxy设置为开机启动
root@k8s-ha01:~# systemctl start haproxy Job for haproxy.service failed because the control process exited with error code. See "systemctl status haproxy.service" and "journalctl -xeu haproxy.service" for details. root@k8s-ha01:~# systemctl status haproxy × haproxy.service - HAProxy Load Balancer Loaded: loaded (/lib/systemd/system/haproxy.service; disabled; vendor preset: enabled) Active: failed (Result: exit-code) since Sat 2023-04-22 12:13:34 UTC; 6s ago Docs: man:haproxy(1) file:/usr/share/doc/haproxy/configuration.txt.gz Process: 1281 ExecStartPre=/usr/sbin/haproxy -Ws -f $CONFIG -c -q $EXTRAOPTS (code=exited, status=0/SUCCESS) Process: 1283 ExecStart=/usr/sbin/haproxy -Ws -f $CONFIG -p $PIDFILE $EXTRAOPTS (code=exited, status=1/FAILURE) Main PID: 1283 (code=exited, status=1/FAILURE) CPU: 141ms Apr 22 12:13:34 k8s-ha01.ik8s.cc systemd[1]: haproxy.service: Scheduled restart job, restart counter is at 5. Apr 22 12:13:34 k8s-ha01.ik8s.cc systemd[1]: Stopped HAProxy Load Balancer. Apr 22 12:13:34 k8s-ha01.ik8s.cc systemd[1]: haproxy.service: Start request repeated too quickly. Apr 22 12:13:34 k8s-ha01.ik8s.cc systemd[1]: haproxy.service: Failed with result 'exit-code'. Apr 22 12:13:34 k8s-ha01.ik8s.cc systemd[1]: Failed to start HAProxy Load Balancer. root@k8s-ha01:~#
提示:上面报错是因为默认情况下内核不允许监听本机不存在的socket,我们需要修改内核参数允许本机监听不存在的socket;
修改内核参数
root@k8s-ha01:~# sysctl -a |grep bind net.ipv4.ip_autobind_reuse = 0 net.ipv4.ip_nonlocal_bind = 0 net.ipv6.bindv6only = 0 net.ipv6.ip_nonlocal_bind = 0 root@k8s-ha01:~# echo "net.ipv4.ip_nonlocal_bind = 1">> /etc/sysctl.conf root@k8s-ha01:~# cat /etc/sysctl.conf net.ipv4.ip_forward=1 vm.max_map_count=262144 kernel.pid_max=4194303 fs.file-max=1000000 net.ipv4.tcp_max_tw_buckets=6000 net.netfilter.nf_conntrack_max=2097152 net.bridge.bridge-nf-call-ip6tables = 1 net.bridge.bridge-nf-call-iptables = 1 vm.swappiness=0 net.ipv4.ip_nonlocal_bind = 1 root@k8s-ha01:~# sysctl -p net.ipv4.ip_forward = 1 vm.max_map_count = 262144 kernel.pid_max = 4194303 fs.file-max = 1000000 net.ipv4.tcp_max_tw_buckets = 6000 net.netfilter.nf_conntrack_max = 2097152 net.bridge.bridge-nf-call-ip6tables = 1 net.bridge.bridge-nf-call-iptables = 1 vm.swappiness = 0 net.ipv4.ip_nonlocal_bind = 1 root@k8s-ha01:~#
验证:重启haproxy 看看是能够正常监听6443?
root@k8s-ha01:~# systemctl restart haproxy root@k8s-ha01:~# systemctl status haproxy ● haproxy.service - HAProxy Load Balancer Loaded: loaded (/lib/systemd/system/haproxy.service; enabled; vendor preset: enabled) Active: active (running) since Sat 2023-04-22 12:19:50 UTC; 7s ago Docs: man:haproxy(1) file:/usr/share/doc/haproxy/configuration.txt.gz Process: 1441 ExecStartPre=/usr/sbin/haproxy -Ws -f $CONFIG -c -q $EXTRAOPTS (code=exited, status=0/SUCCESS) Main PID: 1443 (haproxy) Tasks: 5 (limit: 4571) Memory: 70.1M CPU: 309ms CGroup: /system.slice/haproxy.service ├─1443 /usr/sbin/haproxy -Ws -f /etc/haproxy/haproxy.cfg -p /run/haproxy.pid -S /run/haproxy-master.sock └─1445 /usr/sbin/haproxy -Ws -f /etc/haproxy/haproxy.cfg -p /run/haproxy.pid -S /run/haproxy-master.sock Apr 22 12:19:50 k8s-ha01.ik8s.cc haproxy[1443]: [WARNING] (1443) : parsing [/etc/haproxy/haproxy.cfg:23] : 'option httplog' not usable with proxy 'k8s _apiserver_6443' (needs 'mode http'). Falling back to 'option tcplog'. Apr 22 12:19:50 k8s-ha01.ik8s.cc haproxy[1443]: [NOTICE] (1443) : New worker #1 (1445) forked Apr 22 12:19:50 k8s-ha01.ik8s.cc systemd[1]: Started HAProxy Load Balancer. Apr 22 12:19:50 k8s-ha01.ik8s.cc haproxy[1445]: [WARNING] (1445) : Server k8s_apiserver_6443/k8s-master01 is DOWN, reason: Layer4 connection problem, info: "Connection refused", check duration: 0ms. 2 active and 0 backup servers left. 0 sessions active, 0 requeued, 0 remaining in queue. Apr 22 12:19:50 k8s-ha01.ik8s.cc haproxy[1445]: [NOTICE] (1445) : haproxy version is 2.4.18-0ubuntu1.3 Apr 22 12:19:50 k8s-ha01.ik8s.cc haproxy[1445]: [NOTICE] (1445) : path to executable is /usr/sbin/haproxy Apr 22 12:19:50 k8s-ha01.ik8s.cc haproxy[1445]: [ALERT] (1445) : sendmsg()/writev() failed in logger #1: No such file or directory (errno=2) Apr 22 12:19:50 k8s-ha01.ik8s.cc haproxy[1445]: [WARNING] (1445) : Server k8s_apiserver_6443/k8s-master02 is DOWN, reason: Layer4 connection problem, info: "Connection refused", check duration: 0ms. 1 active and 0 backup servers left. 0 sessions active, 0 requeued, 0 remaining in queue. Apr 22 12:19:51 k8s-ha01.ik8s.cc haproxy[1445]: [WARNING] (1445) : Server k8s_apiserver_6443/k8s-master03 is DOWN, reason: Layer4 connection problem, info: "Connection refused", check duration: 0ms. 0 active and 0 backup servers left. 0 sessions active, 0 requeued, 0 remaining in queue. Apr 22 12:19:51 k8s-ha01.ik8s.cc haproxy[1445]: [ALERT] (1445) : proxy 'k8s_apiserver_6443' has no server available! root@k8s-ha01:~# ss -tnl State Recv-Q Send-Q Local Address:Port Peer Address:Port Process LISTEN 0 4096 192.168.0.111:6443 0.0.0.0:* LISTEN 0 4096 127.0.0.53%lo:53 0.0.0.0:* LISTEN 0 128 0.0.0.0:22 0.0.0.0:* root@k8s-ha01:~#
提示:可用看到修改内核参数以后,重启haproxy对应vip的6443就在本地监听了;对应ha02也需要修改内核参数,然后将haproxy启动并设置为开机启动;
重启ha02上面的haproxy并设置为开机启动
root@k8s-ha02:~# systemctl restart haproxy root@k8s-ha02:~# systemctl enable haproxy Synchronizing state of haproxy.service with SysV service script with /lib/systemd/systemd-sysv-install. Executing: /lib/systemd/systemd-sysv-install enable haproxy root@k8s-ha02:~# ss -tnl State Recv-Q Send-Q Local Address:Port Peer Address:Port Process LISTEN 0 4096 127.0.0.53%lo:53 0.0.0.0:* LISTEN 0 4096 192.168.0.111:6443 0.0.0.0:* LISTEN 0 128 0.0.0.0:22 0.0.0.0:* root@k8s-ha02:~#
提示:现在不管vip在那个节点,对应请求都会根据vip迁移而随之迁移;至此基于keepalived及haproxy部署高可用负载均衡器就部署完成;
2、部署https harbor服务提供镜像的分发
在harbor服务器上配置docker-ce的源
root@harbor:~# apt-get update && apt-get -y install apt-transport-https ca-certificates curl software-properties-common && curl -fsSL https://mirrors.aliyun.com/docker-ce/linux/ubuntu/gpg | sudo apt-key add - && add-apt-repository "deb [arch=amd64] https://mirrors.aliyun.com/docker-ce/linux/ubuntu $(lsb_release -cs) stable" && apt-get -y update
在harbor服务器上安装docker和docker-compose
root@harbor:~# apt-cache madison docker-ce docker-ce | 5:23.0.3-1~ubuntu.22.04~jammy | https://mirrors.aliyun.com/docker-ce/linux/ubuntu jammy/stable amd64 Packages docker-ce | 5:23.0.2-1~ubuntu.22.04~jammy | https://mirrors.aliyun.com/docker-ce/linux/ubuntu jammy/stable amd64 Packages docker-ce | 5:23.0.1-1~ubuntu.22.04~jammy | https://mirrors.aliyun.com/docker-ce/linux/ubuntu jammy/stable amd64 Packages docker-ce | 5:23.0.0-1~ubuntu.22.04~jammy | https://mirrors.aliyun.com/docker-ce/linux/ubuntu jammy/stable amd64 Packages docker-ce | 5:20.10.24~3-0~ubuntu-jammy | https://mirrors.aliyun.com/docker-ce/linux/ubuntu jammy/stable amd64 Packages docker-ce | 5:20.10.23~3-0~ubuntu-jammy | https://mirrors.aliyun.com/docker-ce/linux/ubuntu jammy/stable amd64 Packages docker-ce | 5:20.10.22~3-0~ubuntu-jammy | https://mirrors.aliyun.com/docker-ce/linux/ubuntu jammy/stable amd64 Packages docker-ce | 5:20.10.21~3-0~ubuntu-jammy | https://mirrors.aliyun.com/docker-ce/linux/ubuntu jammy/stable amd64 Packages docker-ce | 5:20.10.20~3-0~ubuntu-jammy | https://mirrors.aliyun.com/docker-ce/linux/ubuntu jammy/stable amd64 Packages docker-ce | 5:20.10.19~3-0~ubuntu-jammy | https://mirrors.aliyun.com/docker-ce/linux/ubuntu jammy/stable amd64 Packages docker-ce | 5:20.10.18~3-0~ubuntu-jammy | https://mirrors.aliyun.com/docker-ce/linux/ubuntu jammy/stable amd64 Packages docker-ce | 5:20.10.17~3-0~ubuntu-jammy | https://mirrors.aliyun.com/docker-ce/linux/ubuntu jammy/stable amd64 Packages docker-ce | 5:20.10.16~3-0~ubuntu-jammy | https://mirrors.aliyun.com/docker-ce/linux/ubuntu jammy/stable amd64 Packages docker-ce | 5:20.10.15~3-0~ubuntu-jammy | https://mirrors.aliyun.com/docker-ce/linux/ubuntu jammy/stable amd64 Packages docker-ce | 5:20.10.14~3-0~ubuntu-jammy | https://mirrors.aliyun.com/docker-ce/linux/ubuntu jammy/stable amd64 Packages docker-ce | 5:20.10.13~3-0~ubuntu-jammy | https://mirrors.aliyun.com/docker-ce/linux/ubuntu jammy/stable amd64 Packages root@harbor:~# apt install -y docker-ce=5:20.10.19~3-0~ubuntu-jammy
验证docker版本
oot@harbor:~# docker version Client: Docker Engine - Community Version: 23.0.3 API version: 1.41 (downgraded from 1.42) Go version: go1.19.7 Git commit: 3e7cbfd Built: Tue Apr 4 22:05:48 2023 OS/Arch: linux/amd64 Context: default Server: Docker Engine - Community Engine: Version: 20.10.19 API version: 1.41 (minimum version 1.12) Go version: go1.18.7 Git commit: c964641 Built: Thu Oct 13 16:44:47 2022 OS/Arch: linux/amd64 Experimental: false containerd: Version: 1.6.20 GitCommit: 2806fc1057397dbaeefbea0e4e17bddfbd388f38 runc: Version: 1.1.5 GitCommit: v1.1.5-0-gf19387a docker-init: Version: 0.19.0 GitCommit: de40ad0 root@harbor:~#
下载docker-compose二进制文件
root@harbor:~# wget https://github.com/docker/compose/releases/download/v2.17.2/docker-compose-linux-x86_64 -o /usr/local/bin/docker-compose
给docker-compose二进制文件加上可执行权限,并验证docker-compose的版本
root@harbor:~# cd /usr/local/bin/ root@harbor:/usr/local/bin# ll total 53188 drwxr-xr-x 2 root root 4096 Apr 22 07:05 ./ drwxr-xr-x 10 root root 4096 Feb 17 17:19 ../ -rw-r--r-- 1 root root 54453847 Apr 22 07:03 docker-compose root@harbor:/usr/local/bin# chmod a+x docker-compose root@harbor:/usr/local/bin# cd root@harbor:~# docker-compose -v Docker Compose version v2.17.2 root@harbor:~#
下载harbor离线安装包
root@harbor:~# wget https://github.com/goharbor/harbor/releases/download/v2.8.0/harbor-offline-installer-v2.8.0.tgz
创建存放harbor离线安装包目录,并将离线安装包解压于对应目录
root@harbor:~# ls harbor-offline-installer-v2.8.0.tgz root@harbor:~# mkdir /app root@harbor:~# tar xf harbor-offline-installer-v2.8.0.tgz -C /app/ root@harbor:~# cd /app/ root@harbor:/app# ls harbor root@harbor:/app#
创建存放证书的目录certs
root@harbor:/app# ls harbor root@harbor:/app# mkdir certs root@harbor:/app# ls certs harbor root@harbor:/app#
上传证书
root@harbor:/app/certs# ls 9529909_harbor.ik8s.cc_nginx.zip root@harbor:/app/certs# unzip 9529909_harbor.ik8s.cc_nginx.zip Archive: 9529909_harbor.ik8s.cc_nginx.zip Aliyun Certificate Download inflating: 9529909_harbor.ik8s.cc.pem inflating: 9529909_harbor.ik8s.cc.key root@harbor:/app/certs# ls 9529909_harbor.ik8s.cc.key 9529909_harbor.ik8s.cc.pem 9529909_harbor.ik8s.cc_nginx.zip root@harbor:/app/certs#
复制harbor配置模板为harbor.yaml
root@harbor:/app/certs# cd .. root@harbor:/app# ls certs harbor root@harbor:/app# cd harbor/ root@harbor:/app/harbor# ls LICENSE common.sh harbor.v2.8.0.tar.gz harbor.yml.tmpl install.sh prepare root@harbor:/app/harbor# cp harbor.yml.tmpl harbor.yml root@harbor:/app/harbor#
编辑harbor.yaml文件
root@harbor:/app/harbor# grep -v "#" harbor.yml | grep -v "^#" hostname: harbor.ik8s.cc http: port: 80 https: port: 443 certificate: /app/certs/9529909_harbor.ik8s.cc.pem private_key: /app/certs/9529909_harbor.ik8s.cc.key harbor_admin_password: admin123.com database: password: root123 max_idle_conns: 100 max_open_conns: 900 conn_max_lifetime: 5m conn_max_idle_time: 0 data_volume: /data trivy: ignore_unfixed: false skip_update: false offline_scan: false security_check: vuln insecure: false jobservice: max_job_workers: 10 notification: webhook_job_max_retry: 3 log: level: info local: rotate_count: 50 rotate_size: 200M location: /var/log/harbor _version: 2.8.0 proxy: http_proxy: https_proxy: no_proxy: components: - core - jobservice - trivy upload_purging: enabled: true age: 168h interval: 24h dryrun: false cache: enabled: false expire_hours: 24 root@harbor:/app/harbor#
提示:上述配置文件修改了hostname,这个主要用来指定证书中站点域名,这个必须和证书签发时指定的域名一样;其次是证书和私钥的路径以及harbor默认登录密码;
根据配置文件中指定路径来创建存放harbor的数据目录
root@harbor:/app/harbor# grep "data_volume" harbor.yml data_volume: /data root@harbor:/app/harbor# mkdir /data root@harbor:/app/harbor#
提示:为了避免数据丢失建议这个目录是挂载网络文件系统,如nfs;
执行harbor部署
root@harbor:/app/harbor# ./install.sh --with-notary --with-trivy [Step 0]: checking if docker is installed ... Note: docker version: 23.0.3 [Step 1]: checking docker-compose is installed ... Note: Docker Compose version v2.17.2 [Step 2]: loading Harbor images ... 17d981d1fd47: Loading layer [==================================================>] 37.78MB/37.78MB 31886c65da47: Loading layer [==================================================>] 99.07MB/99.07MB 22b8b3f55675: Loading layer [==================================================>] 3.584kB/3.584kB e0d07daed386: Loading layer [==================================================>] 3.072kB/3.072kB 192e4941b719: Loading layer [==================================================>] 2.56kB/2.56kB ea466c659008: Loading layer [==================================================>] 3.072kB/3.072kB 0a9da2a9c15e: Loading layer [==================================================>] 3.584kB/3.584kB b8d43ab61309: Loading layer [==================================================>] 20.48kB/20.48kB Loaded image: goharbor/harbor-log:v2.8.0 91ff9ec8c599: Loading layer [==================================================>] 5.762MB/5.762MB 7b3b74d0bc46: Loading layer [==================================================>] 9.137MB/9.137MB 415c34d8de89: Loading layer [==================================================>] 14.47MB/14.47MB d5f96f4cee68: Loading layer [==================================================>] 29.29MB/29.29MB 2e13bf4c5a45: Loading layer [==================================================>] 22.02kB/22.02kB 3065ef318899: Loading layer [==================================================>] 14.47MB/14.47MB Loaded image: goharbor/notary-signer-photon:v2.8.0 10b1cdff4db0: Loading layer [==================================================>] 5.767MB/5.767MB 8ca511ff01d7: Loading layer [==================================================>] 4.096kB/4.096kB c561ee469bc5: Loading layer [==================================================>] 17.57MB/17.57MB 88b0cf5853d2: Loading layer [==================================================>] 3.072kB/3.072kB f68cc37aeda4: Loading layer [==================================================>] 31.01MB/31.01MB f96735fc99d1: Loading layer [==================================================>] 49.37MB/49.37MB Loaded image: goharbor/harbor-registryctl:v2.8.0 117dfa0ad222: Loading layer [==================================================>] 8.91MB/8.91MB fad9e0a04e3e: Loading layer [==================================================>] 25.92MB/25.92MB b5e945e047c5: Loading layer [==================================================>] 4.608kB/4.608kB 5b87a66594e3: Loading layer [==================================================>] 26.71MB/26.71MB Loaded image: goharbor/harbor-exporter:v2.8.0 844a11bc472a: Loading layer [==================================================>] 91.99MB/91.99MB 329ec42b7278: Loading layer [==================================================>] 3.072kB/3.072kB 479889c4a17d: Loading layer [==================================================>] 59.9kB/59.9kB 9d7cf0ba93a4: Loading layer [==================================================>] 61.95kB/61.95kB Loaded image: goharbor/redis-photon:v2.8.0 d78edf9b37a0: Loading layer [==================================================>] 5.762MB/5.762MB 6b1886c87164: Loading layer [==================================================>] 9.137MB/9.137MB 8e04b3ba3694: Loading layer [==================================================>] 15.88MB/15.88MB 1859c0f529e2: Loading layer [==================================================>] 29.29MB/29.29MB 5a4832cc0365: Loading layer [==================================================>] 22.02kB/22.02kB 32e5f34311d8: Loading layer [==================================================>] 15.88MB/15.88MB Loaded image: goharbor/notary-server-photon:v2.8.0 157c80352244: Loading layer [==================================================>] 44.11MB/44.11MB ae9e333084d9: Loading layer [==================================================>] 65.86MB/65.86MB 9172f69ba869: Loading layer [==================================================>] 24.09MB/24.09MB 78d4f0b7a9dd: Loading layer [==================================================>] 65.54kB/65.54kB 66e1120f8426: Loading layer [==================================================>] 2.56kB/2.56kB d2e29dcfd3b2: Loading layer [==================================================>] 1.536kB/1.536kB e2862979f5b1: Loading layer [==================================================>] 12.29kB/12.29kB f060948ced19: Loading layer [==================================================>] 2.621MB/2.621MB 4f1f83dea031: Loading layer [==================================================>] 416.8kB/416.8kB Loaded image: goharbor/prepare:v2.8.0 b757f0470527: Loading layer [==================================================>] 8.909MB/8.909MB 45f3777da07b: Loading layer [==================================================>] 3.584kB/3.584kB 1ec69429b88c: Loading layer [==================================================>] 2.56kB/2.56kB 54ae653f9340: Loading layer [==================================================>] 47.5MB/47.5MB 2b5374d50351: Loading layer [==================================================>] 48.29MB/48.29MB Loaded image: goharbor/harbor-jobservice:v2.8.0 138a75d30165: Loading layer [==================================================>] 6.295MB/6.295MB 37678a05d20c: Loading layer [==================================================>] 4.096kB/4.096kB 62ab39a1f583: Loading layer [==================================================>] 3.072kB/3.072kB dc2c8ea056cc: Loading layer [==================================================>] 191.2MB/191.2MB eef0034d3cf6: Loading layer [==================================================>] 14.03MB/14.03MB 8ef49e77e2da: Loading layer [==================================================>] 206MB/206MB Loaded image: goharbor/trivy-adapter-photon:v2.8.0 7b11ded34da7: Loading layer [==================================================>] 5.767MB/5.767MB db79ebbe62ed: Loading layer [==================================================>] 4.096kB/4.096kB 7008de4e1efa: Loading layer [==================================================>] 3.072kB/3.072kB 78e690f643e2: Loading layer [==================================================>] 17.57MB/17.57MB c59eb6af140b: Loading layer [==================================================>] 18.36MB/18.36MB Loaded image: goharbor/registry-photon:v2.8.0 697d673e9002: Loading layer [==================================================>] 91.15MB/91.15MB 73dc6648b3fc: Loading layer [==================================================>] 6.097MB/6.097MB 7c040ff2580b: Loading layer [==================================================>] 1.233MB/1.233MB Loaded image: goharbor/harbor-portal:v2.8.0 ed7088f4a42d: Loading layer [==================================================>] 8.91MB/8.91MB 5fb2a39a2645: Loading layer [==================================================>] 3.584kB/3.584kB eed4c9aebbc2: Loading layer [==================================================>] 2.56kB/2.56kB 5a03baf4cc2c: Loading layer [==================================================>] 59.24MB/59.24MB 23c80bc54f04: Loading layer [==================================================>] 5.632kB/5.632kB f7e397f31506: Loading layer [==================================================>] 115.7kB/115.7kB 78504c142fac: Loading layer [==================================================>] 44.03kB/44.03kB ec904722ce15: Loading layer [==================================================>] 60.19MB/60.19MB 4746711ff0cc: Loading layer [==================================================>] 2.56kB/2.56kB Loaded image: goharbor/harbor-core:v2.8.0 6460b77e3fdb: Loading layer [==================================================>] 123.4MB/123.4MB 19620cea1000: Loading layer [==================================================>] 22.57MB/22.57MB d9674d59d34c: Loading layer [==================================================>] 5.12kB/5.12kB f3b8b5f2a0b2: Loading layer [==================================================>] 6.144kB/6.144kB 948463f03a69: Loading layer [==================================================>] 3.072kB/3.072kB 674b9b213d01: Loading layer [==================================================>] 2.048kB/2.048kB 77dff9e1e728: Loading layer [==================================================>] 2.56kB/2.56kB 7c74827c6695: Loading layer [==================================================>] 2.56kB/2.56kB 254ef4a11cdc: Loading layer [==================================================>] 2.56kB/2.56kB 23cb6acbaaad: Loading layer [==================================================>] 9.728kB/9.728kB Loaded image: goharbor/harbor-db:v2.8.0 6ca8f9c9b7ce: Loading layer [==================================================>] 91.15MB/91.15MB Loaded image: goharbor/nginx-photon:v2.8.0 [Step 3]: preparing environment ... [Step 4]: preparing harbor configs ... prepare base dir is set to /app/harbor Generated configuration file: /config/portal/nginx.conf Generated configuration file: /config/log/logrotate.conf Generated configuration file: /config/log/rsyslog_docker.conf Generated configuration file: /config/nginx/nginx.conf Generated configuration file: /config/core/env Generated configuration file: /config/core/app.conf Generated configuration file: /config/registry/config.yml Generated configuration file: /config/registryctl/env Generated configuration file: /config/registryctl/config.yml Generated configuration file: /config/db/env Generated configuration file: /config/jobservice/env Generated configuration file: /config/jobservice/config.yml Generated and saved secret to file: /data/secret/keys/secretkey Successfully called func: create_root_cert Successfully called func: create_root_cert Successfully called func: create_cert Copying certs for notary signer Copying nginx configuration file for notary Generated configuration file: /config/nginx/conf.d/notary.upstream.conf Generated configuration file: /config/nginx/conf.d/notary.server.conf Generated configuration file: /config/notary/server-config.postgres.json Generated configuration file: /config/notary/server_env Generated and saved secret to file: /data/secret/keys/defaultalias Generated configuration file: /config/notary/signer_env Generated configuration file: /config/notary/signer-config.postgres.json Generated configuration file: /config/trivy-adapter/env Generated configuration file: /compose_location/docker-compose.yml Clean up the input dir Note: stopping existing Harbor instance ... [Step 5]: starting Harbor ... ➜ Notary will be deprecated as of Harbor v2.6.0 and start to be removed in v2.8.0 or later. You can use cosign for signature instead since Harbor v2.5.0. Please see discussion here for more details. https://github.com/goharbor/harbor/discussions/16612 [+] Running 15/15 ✔ Network harbor_harbor Created 0.2s ✔ Network harbor_notary-sig Created 0.2s ✔ Network harbor_harbor-notary Created 0.1s ✔ Container harbor-log Started 5.3s ✔ Container harbor-db Started 7.2s ✔ Container redis Started 6.4s ✔ Container registry Started 6.3s ✔ Container harbor-portal Started 6.9s ✔ Container registryctl Started 6.4s ✔ Container trivy-adapter Started 6.0s ✔ Container harbor-core Started 7.4s ✔ Container notary-signer Started 7.1s ✔ Container nginx Started 8.9s ✔ Container harbor-jobservice Started 8.8s ✔ Container notary-server Started 7.2s ✔ ----Harbor has been installed and started successfully.---- root@harbor:/app/harbor#
域名解析,将证书签发时的域名指向harbor服务器
验证:通过windows的浏览器访问harbor.ik8s.cc,看看对应harbor是否能够正常访问到?
使用我配置的密码登录harbor,看看是否可用正常登录?
创建项目是否可用正常创建?
提示:可用看到我们在web网页上能够成功创建项目;
扩展:给harbor提供service文件,实现开机自动启动
root@harbor:/app/harbor# cat /usr/lib/systemd/system/harbor.service [Unit] Description=Harbor After=docker.service systemd-networkd.service systemd-resolved.service Requires=docker.service Documentation=http://github.com/vmware/harbor [Service] Type=simple Restart=on-failure RestartSec=5 ExecStart=/usr/local/bin/docker-compose -f /app/harbor/docker-compose.yml up ExecStop=/usr/local/bin/docker-compose -f /app/harbor/docker-compose.yml down [Install] WantedBy=multi-user.target root@harbor:/app/harbor#
加载harbor.service重启harbor并设置harbor开机自启动
root@harbor:/app/harbor# systemctl root@harbor:/app/harbor# systemctl daemon-reload root@harbor:/app/harbor# systemctl restart harbor root@harbor:/app/harbor# systemctl enable harbor Created symlink /etc/systemd/system/multi-user.target.wants/harbor.service → /lib/systemd/system/harbor.service. root@harbor:/app/harbor#
3、测试基于nerdctl可以登录https harbor并能实现进行分发
nerdctl登录harbor
root@k8s-node02:~# nerdctl login harbor.ik8s.cc Enter Username: admin Enter Password: WARN[0005] skipping verifying HTTPS certs for "harbor.ik8s.cc" WARNING: Your password will be stored unencrypted in /root/.docker/config.json. Configure a credential helper to remove this warning. See https://docs.docker.com/engine/reference/commandline/login/#credentials-store Login Succeeded root@k8s-node02:~#
提示:这里也需要做域名解析;
测试从node02本地向harbor上传镜像
root@k8s-node02:~# nerdctl pull nginx WARN[0000] skipping verifying HTTPS certs for "docker.io" docker.io/library/nginx:latest: resolved |++++++++++++++++++++++++++++++++++++++| index-sha256:63b44e8ddb83d5dd8020327c1f40436e37a6fffd3ef2498a6204df23be6e7e94: done |++++++++++++++++++++++++++++++++++++++| manifest-sha256:f2fee5c7194cbbfb9d2711fa5de094c797a42a51aa42b0c8ee8ca31547c872b1: done |++++++++++++++++++++++++++++++++++++++| config-sha256:6efc10a0510f143a90b69dc564a914574973223e88418d65c1f8809e08dc0a1f: done |++++++++++++++++++++++++++++++++++++++| layer-sha256:75576236abf5959ff23b741ed8c4786e244155b9265db5e6ecda9d8261de529f: done |++++++++++++++++++++++++++++++++++++++| layer-sha256:26c5c85e47da3022f1bdb9a112103646c5c29517d757e95426f16e4bd9533405: done |++++++++++++++++++++++++++++++++++++++| layer-sha256:8c767bdbc9aedd4bbf276c6f28aad18251cceacb768967c5702974ae1eac23cd: done |++++++++++++++++++++++++++++++++++++++| layer-sha256:78e14bb05fd35b58587cd0c5ca2c2eb12b15031633ec30daa21c0ea3d2bb2a15: done |++++++++++++++++++++++++++++++++++++++| layer-sha256:4f3256bdf66bf00bcec08043e67a80981428f0e0de12f963eac3c753b14d101d: done |++++++++++++++++++++++++++++++++++++++| layer-sha256:2019c71d56550b97ce01e0b6ef8e971fec705186f2927d2cb109ac3e18edb0ac: done |++++++++++++++++++++++++++++++++++++++| elapsed: 41.1s total: 54.4 M (1.3 MiB/s) root@k8s-node02:~# nerdctl images REPOSITORY TAG IMAGE ID CREATED PLATFORM SIZE BLOB SIZE nginx latest 63b44e8ddb83 10 seconds ago linux/amd64 149.8 MiB 54.4 MiB63b44e8ddb83 10 seconds ago linux/amd64 149.8 MiB 54.4 MiB root@k8s-node02:~# nerdctl tag nginx harbor.ik8s.cc/baseimages/nginx:v1 root@k8s-node02:~# nerdctl images REPOSITORY TAG IMAGE ID CREATED PLATFORM SIZE BLOB SIZE nginx latest 63b44e8ddb83 51 seconds ago linux/amd64 149.8 MiB 54.4 MiB harbor.ik8s.cc/baseimages/nginx v1 63b44e8ddb83 5 seconds ago linux/amd64 149.8 MiB 54.4 MiB 63b44e8ddb83 51 seconds ago linux/amd64 149.8 MiB 54.4 MiB root@k8s-node02:~# nerdctl push harbor.ik8s.cc/baseimages/nginx:v1 INFO[0000] pushing as a reduced-platform image (application/vnd.docker.distribution.manifest.list.v2+json, sha256:c45a31532f8fcd4db2302631bc1644322aa43c396fabbf3f9e9038ff09688c26) WARN[0000] skipping verifying HTTPS certs for "harbor.ik8s.cc" index-sha256:c45a31532f8fcd4db2302631bc1644322aa43c396fabbf3f9e9038ff09688c26: done |++++++++++++++++++++++++++++++++++++++| manifest-sha256:f2fee5c7194cbbfb9d2711fa5de094c797a42a51aa42b0c8ee8ca31547c872b1: done |++++++++++++++++++++++++++++++++++++++| config-sha256:6efc10a0510f143a90b69dc564a914574973223e88418d65c1f8809e08dc0a1f: done |++++++++++++++++++++++++++++++++++++++| elapsed: 4.2 s total: 9.6 Ki (2.3 KiB/s) root@k8s-node02:~#
验证:在web网页上看我们上传的nginx:v1镜像是否在仓库里?
测试从harbor仓库下载镜像到本地
root@k8s-node03:~# nerdctl images REPOSITORY TAG IMAGE ID CREATED PLATFORM SIZE BLOB SIZE root@k8s-node03:~# nerdctl login harbor.ik8s.cc Enter Username: admin Enter Password: WARN[0004] skipping verifying HTTPS certs for "harbor.ik8s.cc" WARNING: Your password will be stored unencrypted in /root/.docker/config.json. Configure a credential helper to remove this warning. See https://docs.docker.com/engine/reference/commandline/login/#credentials-store Login Succeeded root@k8s-node03:~# nerdctl pull harbor.ik8s.cc/baseimages/nginx:v1 WARN[0000] skipping verifying HTTPS certs for "harbor.ik8s.cc" harbor.ik8s.cc/baseimages/nginx:v1: resolved |++++++++++++++++++++++++++++++++++++++| index-sha256:c45a31532f8fcd4db2302631bc1644322aa43c396fabbf3f9e9038ff09688c26: done |++++++++++++++++++++++++++++++++++++++| manifest-sha256:f2fee5c7194cbbfb9d2711fa5de094c797a42a51aa42b0c8ee8ca31547c872b1: done |++++++++++++++++++++++++++++++++++++++| config-sha256:6efc10a0510f143a90b69dc564a914574973223e88418d65c1f8809e08dc0a1f: done |++++++++++++++++++++++++++++++++++++++| layer-sha256:75576236abf5959ff23b741ed8c4786e244155b9265db5e6ecda9d8261de529f: done |++++++++++++++++++++++++++++++++++++++| layer-sha256:2019c71d56550b97ce01e0b6ef8e971fec705186f2927d2cb109ac3e18edb0ac: done |++++++++++++++++++++++++++++++++++++++| layer-sha256:26c5c85e47da3022f1bdb9a112103646c5c29517d757e95426f16e4bd9533405: done |++++++++++++++++++++++++++++++++++++++| layer-sha256:8c767bdbc9aedd4bbf276c6f28aad18251cceacb768967c5702974ae1eac23cd: done |++++++++++++++++++++++++++++++++++++++| layer-sha256:4f3256bdf66bf00bcec08043e67a80981428f0e0de12f963eac3c753b14d101d: done |++++++++++++++++++++++++++++++++++++++| layer-sha256:78e14bb05fd35b58587cd0c5ca2c2eb12b15031633ec30daa21c0ea3d2bb2a15: done |++++++++++++++++++++++++++++++++++++++| elapsed: 7.3 s total: 54.4 M (7.4 MiB/s) root@k8s-node03:~# nerdctl images REPOSITORY TAG IMAGE ID CREATED PLATFORM SIZE BLOB SIZE harbor.ik8s.cc/baseimages/nginx v1 c45a31532f8f 5 seconds ago linux/amd64 149.8 MiB 54.4 MiBc45a31532f8f 5 seconds ago linux/amd64 149.8 MiB 54.4 MiB root@k8s-node03:~#
通过上述测试,可以看到我们部署的harbor仓库能够实现上传和下载images;至此基于商用公司的免费证书搭建https harbor仓库就完成了;
4、基于kubeasz部署高可用kubernetes集群
部署节点部署环境初始化
本次我们使用kubeasz项目来部署二进制高可用k8s集群;项目地址:https://github.com/easzlab/kubeasz;该项目使用ansible-playbook
实现自动化,提供一件安装脚本,也可以分步骤执行安装各组件;所以部署节点首先要安装好ansible,其次该项目使用docker下载部署k8s过程中的各种镜像以及二进制,所以部署节点docker也需要安装好,当然如果你的部署节点没有安装docker,它也会自动帮你安装;
部署节点配置docker源
root@deploy:~# apt-get update && apt-get -y install apt-transport-https ca-certificates curl software-properties-common && curl -fsSL https://mirrors.aliyun.com/docker-ce/linux/ubuntu/gpg | sudo apt-key add - && add-apt-repository "deb [arch=amd64] https://mirrors.aliyun.com/docker-ce/linux/ubuntu $(lsb_release -cs) stable" && apt-get -y update
部署节点安装ansible、docker
root@deploy:~# apt-cache madison ansible docker-ce ansible | 2.10.7+merged+base+2.10.8+dfsg-1 | http://mirrors.aliyun.com/ubuntu jammy/universe amd64 Packages ansible | 2.10.7+merged+base+2.10.8+dfsg-1 | http://mirrors.aliyun.com/ubuntu jammy/universe Sources docker-ce | 5:23.0.4-1~ubuntu.22.04~jammy | https://mirrors.aliyun.com/docker-ce/linux/ubuntu jammy/stable amd64 Packages docker-ce | 5:23.0.3-1~ubuntu.22.04~jammy | https://mirrors.aliyun.com/docker-ce/linux/ubuntu jammy/stable amd64 Packages docker-ce | 5:23.0.2-1~ubuntu.22.04~jammy | https://mirrors.aliyun.com/docker-ce/linux/ubuntu jammy/stable amd64 Packages docker-ce | 5:23.0.1-1~ubuntu.22.04~jammy | https://mirrors.aliyun.com/docker-ce/linux/ubuntu jammy/stable amd64 Packages docker-ce | 5:23.0.0-1~ubuntu.22.04~jammy | https://mirrors.aliyun.com/docker-ce/linux/ubuntu jammy/stable amd64 Packages docker-ce | 5:20.10.24~3-0~ubuntu-jammy | https://mirrors.aliyun.com/docker-ce/linux/ubuntu jammy/stable amd64 Packages docker-ce | 5:20.10.23~3-0~ubuntu-jammy | https://mirrors.aliyun.com/docker-ce/linux/ubuntu jammy/stable amd64 Packages docker-ce | 5:20.10.22~3-0~ubuntu-jammy | https://mirrors.aliyun.com/docker-ce/linux/ubuntu jammy/stable amd64 Packages docker-ce | 5:20.10.21~3-0~ubuntu-jammy | https://mirrors.aliyun.com/docker-ce/linux/ubuntu jammy/stable amd64 Packages docker-ce | 5:20.10.20~3-0~ubuntu-jammy | https://mirrors.aliyun.com/docker-ce/linux/ubuntu jammy/stable amd64 Packages docker-ce | 5:20.10.19~3-0~ubuntu-jammy | https://mirrors.aliyun.com/docker-ce/linux/ubuntu jammy/stable amd64 Packages docker-ce | 5:20.10.18~3-0~ubuntu-jammy | https://mirrors.aliyun.com/docker-ce/linux/ubuntu jammy/stable amd64 Packages docker-ce | 5:20.10.17~3-0~ubuntu-jammy | https://mirrors.aliyun.com/docker-ce/linux/ubuntu jammy/stable amd64 Packages docker-ce | 5:20.10.16~3-0~ubuntu-jammy | https://mirrors.aliyun.com/docker-ce/linux/ubuntu jammy/stable amd64 Packages docker-ce | 5:20.10.15~3-0~ubuntu-jammy | https://mirrors.aliyun.com/docker-ce/linux/ubuntu jammy/stable amd64 Packages docker-ce | 5:20.10.14~3-0~ubuntu-jammy | https://mirrors.aliyun.com/docker-ce/linux/ubuntu jammy/stable amd64 Packages docker-ce | 5:20.10.13~3-0~ubuntu-jammy | https://mirrors.aliyun.com/docker-ce/linux/ubuntu jammy/stable amd64 Packages root@deploy:~# apt install ansible docker-ce -y
部署节点安装sshpass命令⽤于同步公钥到各k8s服务器
root@deploy:~# apt install sshpass -y
部署节点生成密钥对
root@deploy:~# ssh-keygen -t rsa-sha2-512 -b 4096 Generating public/private rsa-sha2-512 key pair. Enter file in which to save the key (/root/.ssh/id_rsa): /root/.ssh/id_rsa already exists. Overwrite (y/n)? y Enter passphrase (empty for no passphrase): Enter same passphrase again: Your identification has been saved in /root/.ssh/id_rsa Your public key has been saved in /root/.ssh/id_rsa.pub The key fingerprint is: SHA256:uZ7jOnS/r0FNsPRpvvachoFwrUo2X0wbJ2Ve/wm596I root@deploy.ik8s.cc The key's randomart image is: +---[RSA 4096]----+ | o | | . + .o .| | ..=+...| | ...==oo .| | So.=o=o o| | . =oo =o o.| | . +.=..oo. .| | ..o.oo.oo..| | .++.o+Eo+. | +----[SHA256]-----+ root@deploy:~#
编写分发公钥脚本
root@k8s-deploy:~# cat pub-key-scp.sh #!/bin/bash #⽬标主机列表 HOSTS=" 192.168.0.31 192.168.0.32 192.168.0.33 192.168.0.34 192.168.0.35 192.168.0.36 192.168.0.37 192.168.0.38 192.168.0.39 " REMOTE_PORT="22" REMOTE_USER="root" REMOTE_PASS="admin" for REMOTE_HOST in ${HOSTS};do REMOTE_CMD="echo ${REMOTE_HOST} is successfully!" #添加目标远程主机的公钥 ssh-keyscan -p "${REMOTE_PORT}" "${REMOTE_HOST}" >> ~/.ssh/known_hosts #通过sshpass配置免秘钥登录、并创建python3软连接 sshpass -p "${REMOTE_PASS}" ssh-copy-id "${REMOTE_USER}@${REMOTE_HOST}" ssh ${REMOTE_HOST} ln -sv /usr/bin/python3 /usr/bin/python echo ${REMOTE_HOST} 免秘钥配置完成! done root@k8s-deploy:~#
执行脚本分发ssh公钥至master、node、etcd节点实现免密钥登录
root@deploy:~# sh pub-key-scp.sh
验证:在deploy节点,ssh连接k8s集群任意主机,看看是否能够正常免密登录?
root@k8s-deploy:~# ssh 192.168.0.33 Welcome to Ubuntu 22.04.2 LTS (GNU/Linux 5.15.0-70-generic x86_64) * Documentation: https://help.ubuntu.com * Management: https://landscape.canonical.com * Support: https://ubuntu.com/advantage This system has been minimized by removing packages and content that are not required on a system that users do not log into. To restore this content, you can run the 'unminimize' command. Last login: Sat Apr 22 11:45:25 2023 from 192.168.0.232 root@k8s-master03:~# exit logout Connection to 192.168.0.33 closed. root@k8s-deploy:~#
提示:能够正常免密登录对应主机,表示上述脚本实现免密登录没有问题;
下载kubeasz项目安装脚本
root@deploy:~# apt install git -y root@deploy:~# export release=3.5.2 root@deploy:~# wget https://github.com/easzlab/kubeasz/releases/download/${release}/ezdown
编辑ezdown
提示:编辑ezdown脚本主要是定义安装下载组件的版本,根据自己环境来定制对应版本就好;
给脚本添加执行权限
root@k8s-deploy:~# chmod a+x ezdown root@k8s-deploy:~# ll ezdown -rwxr-xr-x 1 root root 25433 Feb 9 15:11 ezdown* root@k8s-deploy:~#
执行脚本,下载kubeasz项目及组件
root@deploy:~# ./ezdown -D
提示:执行ezdown脚本它会下载一些镜像和二进制工具等,并将下载的二进制工具和kubeasz项目存放在/etc/kubeasz/目录中;
root@k8s-deploy:~# ll /etc/kubeasz/ total 140 drwxrwxr-x 13 root root 4096 Apr 22 07:59 ./ drwxr-xr-x 83 root root 4096 Apr 22 11:53 ../ drwxrwxr-x 3 root root 4096 Feb 9 15:14 .github/ -rw-rw-r-- 1 root root 301 Feb 9 14:50 .gitignore -rw-rw-r-- 1 root root 5556 Feb 9 14:50 README.md -rw-rw-r-- 1 root root 20304 Feb 9 14:50 ansible.cfg drwxr-xr-x 3 root root 4096 Apr 22 07:50 bin/ drwxr-xr-x 3 root root 4096 Apr 22 07:59 clusters/ drwxrwxr-x 8 root root 4096 Feb 9 15:14 docs/ drwxr-xr-x 2 root root 4096 Apr 22 07:59 down/ drwxrwxr-x 2 root root 4096 Feb 9 15:14 example/ -rwxrwxr-x 1 root root 26174 Feb 9 14:50 ezctl* -rwxrwxr-x 1 root root 25433 Feb 9 14:50 ezdown* drwxrwxr-x 10 root root 4096 Feb 9 15:14 manifests/ drwxrwxr-x 2 root root 4096 Feb 9 15:14 pics/ drwxrwxr-x 2 root root 4096 Apr 22 08:07 playbooks/ drwxrwxr-x 22 root root 4096 Feb 9 15:14 roles/ drwxrwxr-x 2 root root 4096 Feb 9 15:14 tools/ root@k8s-deploy:~#
查看ezctl工具的使用帮助
root@deploy:~# cd /etc/kubeasz/ root@deploy:/etc/kubeasz# ./ezctl --help Usage: ezctl COMMAND [args] ------------------------------------------------------------------------------------- Cluster setups: list to list all of the managed clusters checkoutto switch default kubeconfig of the cluster new to start a new k8s deploy with name 'cluster' setup to setup a cluster, also supporting a step-by-step way start to start all of the k8s services stopped by 'ezctl stop' stop to stop all of the k8s services temporarily upgrade to upgrade the k8s cluster destroy to destroy the k8s cluster backup to backup the cluster state (etcd snapshot) restore to restore the cluster state from backups start-aio to quickly setup an all-in-one cluster with default settings Cluster ops: add-etcd to add a etcd-node to the etcd cluster add-master to add a master node to the k8s cluster add-node to add a work node to the k8s cluster del-etcd to delete a etcd-node from the etcd cluster del-master to delete a master node from the k8s cluster del-node to delete a work node from the k8s cluster Extra operation: kca-renew to force renew CA certs and all the other certs (with caution) kcfg-adm to manage client kubeconfig of the k8s cluster Use "ezctl help " for more information about a given command. root@deploy:/etc/kubeasz#
使用ezctl工具生成配置文件和hosts文件
root@k8s-deploy:~# cd /etc/kubeasz/ root@k8s-deploy:/etc/kubeasz# ./ezctl new k8s-cluster01 2023-04-22 13:27:51 DEBUG generate custom cluster files in /etc/kubeasz/clusters/k8s-cluster01 2023-04-22 13:27:51 DEBUG set versions 2023-04-22 13:27:51 DEBUG disable registry mirrors 2023-04-22 13:27:51 DEBUG cluster k8s-cluster01: files successfully created. 2023-04-22 13:27:51 INFO next steps 1: to config '/etc/kubeasz/clusters/k8s-cluster01/hosts' 2023-04-22 13:27:51 INFO next steps 2: to config '/etc/kubeasz/clusters/k8s-cluster01/config.yml' root@k8s-deploy:/etc/kubeasz#
编辑ansible hosts配置文件
root@k8s-deploy:/etc/kubeasz# cat /etc/kubeasz/clusters/k8s-cluster01/hosts # 'etcd' cluster should have odd member(s) (1,3,5,...) [etcd] 192.168.0.37 192.168.0.38 192.168.0.39 # master node(s), set unique 'k8s_nodename' for each node # CAUTION: 'k8s_nodename' must consist of lower case alphanumeric characters, '-' or '.', # and must start and end with an alphanumeric character [kube_master] 192.168.0.31 k8s_nodename='192.168.0.31' 192.168.0.32 k8s_nodename='192.168.0.32' #192.168.0.33 k8s_nodename='192.168.0.33' # work node(s), set unique 'k8s_nodename' for each node # CAUTION: 'k8s_nodename' must consist of lower case alphanumeric characters, '-' or '.', # and must start and end with an alphanumeric character [kube_node] 192.168.0.34 k8s_nodename='192.168.0.34' 192.168.0.35 k8s_nodename='192.168.0.35' # [optional] harbor server, a private docker registry # 'NEW_INSTALL': 'true' to install a harbor server; 'false' to integrate with existed one [harbor] #192.168.1.8 NEW_INSTALL=false # [optional] loadbalance for accessing k8s from outside [ex_lb] #192.168.1.6 LB_ROLE=backup EX_APISERVER_VIP=192.168.1.250 EX_APISERVER_PORT=8443 #192.168.1.7 LB_ROLE=master EX_APISERVER_VIP=192.168.1.250 EX_APISERVER_PORT=8443 # [optional] ntp server for the cluster [chrony] #192.168.1.1 [all:vars] # --------- Main Variables --------------- # Secure port for apiservers SECURE_PORT="6443" # Cluster container-runtime supported: docker, containerd # if k8s version >= 1.24, docker is not supported CONTAINER_RUNTIME="containerd" # Network plugins supported: calico, flannel, kube-router, cilium, kube-ovn CLUSTER_NETWORK="calico" # Service proxy mode of kube-proxy: 'iptables' or 'ipvs' PROXY_MODE="ipvs" # K8S Service CIDR, not overlap with node(host) networking SERVICE_CIDR="10.100.0.0/16" # Cluster CIDR (Pod CIDR), not overlap with node(host) networking CLUSTER_CIDR="10.200.0.0/16" # NodePort Range NODE_PORT_RANGE="30000-32767" # Cluster DNS Domain CLUSTER_DNS_DOMAIN="cluster.local" # -------- Additional Variables (don't change the default value right now) --- # Binaries Directory bin_dir="/usr/local/bin" # Deploy Directory (kubeasz workspace) base_dir="/etc/kubeasz" # Directory for a specific cluster cluster_dir="{{ base_dir }}/clusters/k8s-cluster01" # CA and other components cert/key Directory ca_dir="/etc/kubernetes/ssl" # Default 'k8s_nodename' is empty k8s_nodename='' root@k8s-deploy:/etc/kubeasz#
提示:上述hosts配置文件主要用来指定etcd节点、master节点、node节点、vip、运行时、网络组件类型、service IP与pod IP范围等配置信息。
编辑cluster config.yml文件
root@k8s-deploy:/etc/kubeasz# cat /etc/kubeasz/clusters/k8s-cluster01/config.yml ############################ # prepare ############################ # 可选离线安装系统软件包 (offline|online) INSTALL_SOURCE: "online" # 可选进行系统安全加固 github.com/dev-sec/ansible-collection-hardening OS_HARDEN: false ############################ # role:deploy ############################ # default: ca will expire in 100 years # default: certs issued by the ca will expire in 50 years CA_EXPIRY: "876000h" CERT_EXPIRY: "438000h" # force to recreate CA and other certs, not suggested to set 'true' CHANGE_CA: false # kubeconfig 配置参数 CLUSTER_NAME: "cluster1" CONTEXT_NAME: "context-{{ CLUSTER_NAME }}" # k8s version K8S_VER: "1.26.1" # set unique 'k8s_nodename' for each node, if not set(default:'') ip add will be used # CAUTION: 'k8s_nodename' must consist of lower case alphanumeric characters, '-' or '.', # and must start and end with an alphanumeric character (e.g. 'example.com'), # regex used for validation is '[a-z0-9]([-a-z0-9]*[a-z0-9])?(.[a-z0-9]([-a-z0-9]*[a-z0-9])?)*' K8S_NODENAME: "{%- if k8s_nodename != '' -%} {{ k8s_nodename|replace('_', '-')|lower }} {%- else -%} {{ inventory_hostname }} {%- endif -%}" ############################ # role:etcd ############################ # 设置不同的wal目录,可以避免磁盘io竞争,提高性能 ETCD_DATA_DIR: "/var/lib/etcd" ETCD_WAL_DIR: "" ############################ # role:runtime [containerd,docker] ############################ # ------------------------------------------- containerd # [.]启用容器仓库镜像 ENABLE_MIRROR_REGISTRY: true # [containerd]基础容器镜像 SANDBOX_IMAGE: "harbor.ik8s.cc/baseimages/pause:3.9" # [containerd]容器持久化存储目录 CONTAINERD_STORAGE_DIR: "/var/lib/containerd" # ------------------------------------------- docker # [docker]容器存储目录 DOCKER_STORAGE_DIR: "/var/lib/docker" # [docker]开启Restful API ENABLE_REMOTE_API: false # [docker]信任的HTTP仓库 INSECURE_REG: '["http://easzlab.io.local:5000"]' ############################ # role:kube-master ############################ # k8s 集群 master 节点证书配置,可以添加多个ip和域名(比如增加公网ip和域名) MASTER_CERT_HOSTS: - "192.168.0.111" - "kubeapi.ik8s.cc" #- "www.test.com" # node 节点上 pod 网段掩码长度(决定每个节点最多能分配的pod ip地址) # 如果flannel 使用 --kube-subnet-mgr 参数,那么它将读取该设置为每个节点分配pod网段 # https://github.com/coreos/flannel/issues/847 NODE_CIDR_LEN: 24 ############################ # role:kube-node ############################ # Kubelet 根目录 KUBELET_ROOT_DIR: "/var/lib/kubelet" # node节点最大pod 数 MAX_PODS: 200 # 配置为kube组件(kubelet,kube-proxy,dockerd等)预留的资源量 # 数值设置详见templates/kubelet-config.yaml.j2 KUBE_RESERVED_ENABLED: "no" # k8s 官方不建议草率开启 system-reserved, 除非你基于长期监控,了解系统的资源占用状况; # 并且随着系统运行时间,需要适当增加资源预留,数值设置详见templates/kubelet-config.yaml.j2 # 系统预留设置基于 4c/8g 虚机,最小化安装系统服务,如果使用高性能物理机可以适当增加预留 # 另外,集群安装时候apiserver等资源占用会短时较大,建议至少预留1g内存 SYS_RESERVED_ENABLED: "no" ############################ # role:network [flannel,calico,cilium,kube-ovn,kube-router] ############################ # ------------------------------------------- flannel # [flannel]设置flannel 后端"host-gw","vxlan"等 FLANNEL_BACKEND: "vxlan" DIRECT_ROUTING: false # [flannel] flannel_ver: "v0.19.2" # ------------------------------------------- calico # [calico] IPIP隧道模式可选项有: [Always, CrossSubnet, Never],跨子网可以配置为Always与CrossSubnet(公有云建议使用always比较省事,其他的话需要修改各自公有云的网络配置,具体可以参考各个公有云说明) # 其次CrossSubnet为隧道+BGP路由混合模式可以提升网络性能,同子网配置为Never即可. CALICO_IPV4POOL_IPIP: "Always" # [calico]设置 calico-node使用的host IP,bgp邻居通过该地址建立,可手工指定也可以自动发现 IP_AUTODETECTION_METHOD: "can-reach={{ groups['kube_master'][0] }}" # [calico]设置calico 网络 backend: brid, vxlan, none CALICO_NETWORKING_BACKEND: "brid" # [calico]设置calico 是否使用route reflectors # 如果集群规模超过50个节点,建议启用该特性 CALICO_RR_ENABLED: false # CALICO_RR_NODES 配置route reflectors的节点,如果未设置默认使用集群master节点 # CALICO_RR_NODES: ["192.168.1.1", "192.168.1.2"] CALICO_RR_NODES: [] # [calico]更新支持calico 版本: ["3.19", "3.23"] calico_ver: "v3.24.5" # [calico]calico 主版本 calico_ver_main: "{{ calico_ver.split('.')[0] }}.{{ calico_ver.split('.')[1] }}" # ------------------------------------------- cilium # [cilium]镜像版本 cilium_ver: "1.12.4" cilium_connectivity_check: true cilium_hubble_enabled: false cilium_hubble_ui_enabled: false # ------------------------------------------- kube-ovn # [kube-ovn]选择 OVN DB and OVN Control Plane 节点,默认为第一个master节点 OVN_DB_NODE: "{{ groups['kube_master'][0] }}" # [kube-ovn]离线镜像tar包 kube_ovn_ver: "v1.5.3" # ------------------------------------------- kube-router # [kube-router]公有云上存在限制,一般需要始终开启 ipinip;自有环境可以设置为 "subnet" OVERLAY_TYPE: "full" # [kube-router]NetworkPolicy 支持开关 FIREWALL_ENABLE: true # [kube-router]kube-router 镜像版本 kube_router_ver: "v0.3.1" busybox_ver: "1.28.4" ############################ # role:cluster-addon ############################ # coredns 自动安装 dns_install: "no" corednsVer: "1.9.3" ENABLE_LOCAL_DNS_CACHE: false dnsNodeCacheVer: "1.22.13" # 设置 local dns cache 地址 LOCAL_DNS_CACHE: "169.254.20.10" # metric server 自动安装 metricsserver_install: "no" metricsVer: "v0.5.2" # dashboard 自动安装 dashboard_install: "no" dashboardVer: "v2.7.0" dashboardMetricsScraperVer: "v1.0.8" # prometheus 自动安装 prom_install: "no" prom_namespace: "monitor" prom_chart_ver: "39.11.0" # nfs-provisioner 自动安装 nfs_provisioner_install: "no" nfs_provisioner_namespace: "kube-system" nfs_provisioner_ver: "v4.0.2" nfs_storage_class: "managed-nfs-storage" nfs_server: "192.168.1.10" nfs_path: "/data/nfs" # network-check 自动安装 network_check_enabled: false network_check_schedule: "*/5 * * * *" ############################ # role:harbor ############################ # harbor version,完整版本号 HARBOR_VER: "v2.6.3" HARBOR_DOMAIN: "harbor.easzlab.io.local" HARBOR_PATH: /var/data HARBOR_TLS_PORT: 8443 HARBOR_REGISTRY: "{{ HARBOR_DOMAIN }}:{{ HARBOR_TLS_PORT }}" # if set 'false', you need to put certs named harbor.pem and harbor-key.pem in directory 'down' HARBOR_SELF_SIGNED_CERT: true # install extra component HARBOR_WITH_NOTARY: false HARBOR_WITH_TRIVY: false HARBOR_WITH_CHARTMUSEUM: true root@k8s-deploy:/etc/kubeasz#
提示:上述配置文件主要定义了CA和证书的过期时长、kubeconfig配置参数、k8s集群版本、etcd数据存放目录、运行时参数、masster证书名称、node节点pod网段子网掩码长度、kubelet根目录、node节点最大pod数量、网络插件相关参数配置以及集群插件安装相关配置;
提示:这里需要注意一点,虽然我们没有自动安装coredns,但是这两个变量需要设置下,如果ENABLE_LOCAL_DNS_CACHE的值是true,下面的LOCAL_DNS_CACHE就写成对应coredns服务的IP地址;如果ENABLE_LOCAL_DNS_CACHE的值是false,后面的LOCAL_DNS_CACHE是谁的IP地址就无所谓了;
编辑系统基础初始化主机配置
提示:注释掉上述ex_lb和chrony表示这两个主机我们主机定义,不需要通过kubeasz来帮我们初始化;即系统初始化,只针对master、node、etcd这三类节点来做;
准备CA和基础环境初始化
root@deploy:/etc/kubeasz# ./ezctl setup k8s-cluster01 01
提示:执行上述命令,反馈failed都是0,表示指定节点的初始化环境准备就绪,接下来我们就可以进行第二步部署etcd节点;
部署etcd集群
root@deploy:/etc/kubeasz# ./ezctl setup k8s-cluster01 02
提示:这里报错说不能/usr/bin/python没有找到,导致不能获取到/etc/kubeasz/clusters/k8s-cluster01/ssl/etcd-csr.json信息;
解决办法,在部署节点上将/usr/bin/python3软连接至/usr/bin/python;
root@deploy:/etc/kubeasz# ln -sv /usr/bin/python3 /usr/bin/python '/usr/bin/python' -> '/usr/bin/python3' root@deploy:/etc/kubeasz#
再次执行上述部署步骤
验证etcd集群是否正常?
root@k8s-etcd01:~# export NODE_IPS="192.168.0.37 192.168.0.38 192.168.0.39" root@k8s-etcd01:~# for ip in ${NODE_IPS}; do ETCDCTL_API=3 /usr/local/bin/etcdctl --endpoints=https://${ip}:2379 --cacert=/etc/kubernetes/ssl/ca.pem --cert=/etc/kubernetes/ssl/etcd.pem --key=/etc/kubernetes/ssl/etcd-key.pem endpoint health; done https://192.168.0.37:2379 is healthy: successfully committed proposal: took = 32.64189ms https://192.168.0.38:2379 is healthy: successfully committed proposal: took = 30.249623ms https://192.168.0.39:2379 is healthy: successfully committed proposal: took = 32.747586ms root@k8s-etcd01:~#
提示:能够看到上面的健康状态成功,表示etcd集群服务正常;
部署容器运行时containerd
验证基础容器镜像
root@deploy:/etc/kubeasz# grep SANDBOX_IMAGE ./clusters/* -R ./clusters/k8s-cluster01/config.yml:SANDBOX_IMAGE: "harbor.ik8s.cc/baseimages/pause:3.9" root@deploy:/etc/kubeasz#
下载基础镜像到本地,然后更换标签,上传至harbor之上
root@deploy:/etc/kubeasz# docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/pause:3.9 3.9: Pulling from google_containers/pause 61fec91190a0: Already exists Digest: sha256:7031c1b283388d2c2e09b57badb803c05ebed362dc88d84b480cc47f72a21097 Status: Downloaded newer image for registry.cn-hangzhou.aliyuncs.com/google_containers/pause:3.9 registry.cn-hangzhou.aliyuncs.com/google_containers/pause:3.9 root@deploy:/etc/kubeasz# docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/pause:3.9 harbor.ik8s.cc/baseimages/pause:3.9 root@deploy:/etc/kubeasz# docker login harbor.ik8s.cc Username: admin Password: WARNING! Your password will be stored unencrypted in /root/.docker/config.json. Configure a credential helper to remove this warning. See https://docs.docker.com/engine/reference/commandline/login/#credentials-store Login Succeeded root@deploy:/etc/kubeasz# docker push harbor.ik8s.cc/baseimages/pause:3.9 The push refers to repository [harbor.ik8s.cc/baseimages/pause] e3e5579ddd43: Pushed 3.9: digest: sha256:0fc1f3b764be56f7c881a69cbd553ae25a2b5523c6901fbacb8270307c29d0c4 size: 526 root@deploy:/etc/kubeasz#
配置harbor镜像仓库域名解析-公司有DNS服务器进⾏域名解析
提示:编辑/etc/kubeasz/roles/containerd/tasks/main.yml文件在block配置段里面任意找个地方将其上述任务加上即可;
编辑/etc/kubeasz/roles/containerd/templates/config.toml.j2⾃定义containerd配置⽂件模板;
提示:这个参数在ubuntu2204上一定要改成true;否者会出现k8spod不断重启的现象;一般和kubelet保持一致;
提示:这里可以根据自己的环境来配置相应的镜像加速地址;
私有https/http镜像仓库配置下载认证
提示:如果你的镜像仓库是一个私有(不是公开的仓库,即下载镜像需要用户名和密码的仓库)https/http仓库,添加上述配置containerd在下载对应仓库中的镜像,会拿这里配置的用户名密码去下载镜像;
配置nerdctl客户端
提示:编辑/etc/kubeasz/roles/containerd/tasks/main.yml文件加上nerdctl配置相关任务;
在部署节点准备nerdctl工具二进制文件和依赖文件、配置文件
root@k8s-deploy:/etc/kubeasz/bin/containerd-bin# ll total 184572 drwxr-xr-x 2 root root 4096 Jan 26 01:51 ./ drwxr-xr-x 3 root root 4096 Apr 22 13:17 ../ -rwxr-xr-x 1 root root 51529720 Dec 19 16:53 containerd* -rwxr-xr-x 1 root root 7254016 Dec 19 16:53 containerd-shim* -rwxr-xr-x 1 root root 9359360 Dec 19 16:53 containerd-shim-runc-v1* -rwxr-xr-x 1 root root 9375744 Dec 19 16:53 containerd-shim-runc-v2* -rwxr-xr-x 1 root root 22735256 Dec 19 16:53 containerd-stress* -rwxr-xr-x 1 root root 52586151 Dec 14 07:20 crictl* -rwxr-xr-x 1 root root 26712216 Dec 19 16:53 ctr* -rwxr-xr-x 1 root root 9431456 Aug 25 2022 runc* root@k8s-deploy:/etc/kubeasz/bin/containerd-bin# tar xf /root/nerdctl-1.3.0-linux-amd64.tar.gz -C . root@k8s-deploy:/etc/kubeasz/bin/containerd-bin# ll total 208940 drwxr-xr-x 2 root root 4096 Apr 22 14:00 ./ drwxr-xr-x 3 root root 4096 Apr 22 13:17 ../ -rwxr-xr-x 1 root root 51529720 Dec 19 16:53 containerd* -rwxr-xr-x 1 root root 21622 Apr 5 12:21 containerd-rootless-setuptool.sh* -rwxr-xr-x 1 root root 7032 Apr 5 12:21 containerd-rootless.sh* -rwxr-xr-x 1 root root 7254016 Dec 19 16:53 containerd-shim* -rwxr-xr-x 1 root root 9359360 Dec 19 16:53 containerd-shim-runc-v1* -rwxr-xr-x 1 root root 9375744 Dec 19 16:53 containerd-shim-runc-v2* -rwxr-xr-x 1 root root 22735256 Dec 19 16:53 containerd-stress* -rwxr-xr-x 1 root root 52586151 Dec 14 07:20 crictl* -rwxr-xr-x 1 root root 26712216 Dec 19 16:53 ctr* -rwxr-xr-x 1 root root 24920064 Apr 5 12:22 nerdctl* -rwxr-xr-x 1 root root 9431456 Aug 25 2022 runc* root@k8s-deploy:/etc/kubeasz/bin/containerd-bin# cat /etc/kubeasz/roles/containerd/templates/nerdctl.toml.j2 namespace = "k8s.io" debug = false debug_full = false insecure_registry = true root@k8s-deploy:/etc/kubeasz/bin/containerd-bin#
提示:准备好nerdctl相关文件以后,对应就可以执行部署容器运行时containerd的任务;
执⾏部署容器运行时containerd
root@deploy:/etc/kubeasz# ./ezctl setup k8s-cluster01 03
验证:在node节点或master节点验证containerd的版本信息,以及nerdctl的版本信息
提示:在master节点或node节点能够查看到containerd和nerdctl的版本信息,说明容器运行时containerd部署完成;
测试:在master节点使用nerdctl 下载镜像,看看是否可以正常下载?
root@k8s-master01:~# nerdctl pull ubuntu:22.04 WARN[0000] skipping verifying HTTPS certs for "docker.io" docker.io/library/ubuntu:22.04: resolved |++++++++++++++++++++++++++++++++++++++| index-sha256:67211c14fa74f070d27cc59d69a7fa9aeff8e28ea118ef3babc295a0428a6d21: done |++++++++++++++++++++++++++++++++++++++| manifest-sha256:7a57c69fe1e9d5b97c5fe649849e79f2cfc3bf11d10bbd5218b4eb61716aebe6: done |++++++++++++++++++++++++++++++++++++++| config-sha256:08d22c0ceb150ddeb2237c5fa3129c0183f3cc6f5eeb2e7aa4016da3ad02140a: done |++++++++++++++++++++++++++++++++++++++| layer-sha256:2ab09b027e7f3a0c2e8bb1944ac46de38cebab7145f0bd6effebfe5492c818b6: done |++++++++++++++++++++++++++++++++++++++| elapsed: 28.4s total: 28.2 M (1015.6 KiB/s) root@k8s-master01:~# nerdctl images REPOSITORY TAG IMAGE ID CREATED PLATFORM SIZE BLOB SIZE ubuntu 22.04 67211c14fa74 6 seconds ago linux/amd64 83.4 MiB 28.2 MiB67211c14fa74 6 seconds ago linux/amd64 83.4 MiB 28.2 MiB root@k8s-master01:~#
测试:在master节点登录harbor仓库
root@k8s-master01:~# nerdctl login harbor.ik8s.cc Enter Username: admin Enter Password: WARN[0005] skipping verifying HTTPS certs for "harbor.ik8s.cc" WARNING: Your password will be stored unencrypted in /root/.docker/config.json. Configure a credential helper to remove this warning. See https://docs.docker.com/engine/reference/commandline/login/#credentials-store Login Succeeded root@k8s-master01:~#
测试:在master节点上向harbor上传镜像是否正常呢?
root@k8s-master01:~# nerdctl pull ubuntu:22.04 WARN[0000] skipping verifying HTTPS certs for "docker.io" docker.io/library/ubuntu:22.04: resolved |++++++++++++++++++++++++++++++++++++++| index-sha256:67211c14fa74f070d27cc59d69a7fa9aeff8e28ea118ef3babc295a0428a6d21: done |++++++++++++++++++++++++++++++++++++++| manifest-sha256:7a57c69fe1e9d5b97c5fe649849e79f2cfc3bf11d10bbd5218b4eb61716aebe6: done |++++++++++++++++++++++++++++++++++++++| config-sha256:08d22c0ceb150ddeb2237c5fa3129c0183f3cc6f5eeb2e7aa4016da3ad02140a: done |++++++++++++++++++++++++++++++++++++++| layer-sha256:2ab09b027e7f3a0c2e8bb1944ac46de38cebab7145f0bd6effebfe5492c818b6: done |++++++++++++++++++++++++++++++++++++++| elapsed: 22.3s total: 28.2 M (1.3 MiB/s) root@k8s-master01:~# nerdctl login harbor.ik8s.cc WARN[0000] skipping verifying HTTPS certs for "harbor.ik8s.cc" WARNING: Your password will be stored unencrypted in /root/.docker/config.json. Configure a credential helper to remove this warning. See https://docs.docker.com/engine/reference/commandline/login/#credentials-store Login Succeeded root@k8s-master01:~# nerdctl tag ubuntu:22.04 harbor.ik8s.cc/baseimages/ubuntu:22.04 root@k8s-master01:~# nerdctl push harbor.ik8s.cc/baseimages/ubuntu:22.04 INFO[0000] pushing as a reduced-platform image (application/vnd.oci.image.index.v1+json, sha256:730821bd93846fe61e18dd16cb476ef8d11489bab10a894e8acc7eb0405cc68e) WARN[0000] skipping verifying HTTPS certs for "harbor.ik8s.cc" index-sha256:730821bd93846fe61e18dd16cb476ef8d11489bab10a894e8acc7eb0405cc68e: done |++++++++++++++++++++++++++++++++++++++| manifest-sha256:7a57c69fe1e9d5b97c5fe649849e79f2cfc3bf11d10bbd5218b4eb61716aebe6: done |++++++++++++++++++++++++++++++++++++++| config-sha256:08d22c0ceb150ddeb2237c5fa3129c0183f3cc6f5eeb2e7aa4016da3ad02140a: done |++++++++++++++++++++++++++++++++++++++| elapsed: 0.5 s total: 2.9 Ki (5.9 KiB/s) root@k8s-master01:~#
测试:在node节点上登录harbor,下载刚才上传的ubuntu:22.04镜像,看看是否可以正常下载?
root@k8s-node01:~# nerdctl images REPOSITORY TAG IMAGE ID CREATED PLATFORM SIZE BLOB SIZE root@k8s-node01:~# nerdctl login harbor.ik8s.cc WARN[0000] skipping verifying HTTPS certs for "harbor.ik8s.cc" WARNING: Your password will be stored unencrypted in /root/.docker/config.json. Configure a credential helper to remove this warning. See https://docs.docker.com/engine/reference/commandline/login/#credentials-store Login Succeeded root@k8s-node01:~# nerdctl pull harbor.ik8s.cc/baseimages/ubuntu:22.04 WARN[0000] skipping verifying HTTPS certs for "harbor.ik8s.cc" harbor.ik8s.cc/baseimages/ubuntu:22.04: resolved |++++++++++++++++++++++++++++++++++++++| index-sha256:730821bd93846fe61e18dd16cb476ef8d11489bab10a894e8acc7eb0405cc68e: done |++++++++++++++++++++++++++++++++++++++| manifest-sha256:7a57c69fe1e9d5b97c5fe649849e79f2cfc3bf11d10bbd5218b4eb61716aebe6: done |++++++++++++++++++++++++++++++++++++++| config-sha256:08d22c0ceb150ddeb2237c5fa3129c0183f3cc6f5eeb2e7aa4016da3ad02140a: done |++++++++++++++++++++++++++++++++++++++| layer-sha256:2ab09b027e7f3a0c2e8bb1944ac46de38cebab7145f0bd6effebfe5492c818b6: done |++++++++++++++++++++++++++++++++++++++| elapsed: 4.7 s total: 28.2 M (6.0 MiB/s) root@k8s-node01:~# nerdctl images REPOSITORY TAG IMAGE ID CREATED PLATFORM SIZE BLOB SIZE harbor.ik8s.cc/baseimages/ubuntu 22.04 730821bd9384 5 seconds ago linux/amd64 83.4 MiB 28.2 MiB730821bd9384 5 seconds ago linux/amd64 83.4 MiB 28.2 MiB root@k8s-node01:~#
提示:能够在master或node节点上正常使用nerdctl上传镜像到harbor,从harbor下载镜像到本地,说明我们部署的容器运行时containerd就没有问题了;接下就可以部署k8s master节点;
部署k8s master节点
root@deploy:/etc/kubeasz# cat roles/kube-master/tasks/main.yml - name: 下载 kube_master 二进制 copy: src={{ base_dir }}/bin/{{ item }} dest={{ bin_dir }}/{{ item }} mode=0755 with_items: - kube-apiserver - kube-controller-manager - kube-scheduler - kubectl tags: upgrade_k8s - name: 分发controller/scheduler kubeconfig配置文件 copy: src={{ cluster_dir }}/{{ item }} dest=/etc/kubernetes/{{ item }} with_items: - kube-controller-manager.kubeconfig - kube-scheduler.kubeconfig tags: force_change_certs - name: 创建 kubernetes 证书签名请求 template: src=kubernetes-csr.json.j2 dest={{ cluster_dir }}/ssl/kubernetes-csr.json tags: change_cert, force_change_certs connection: local - name: 创建 kubernetes 证书和私钥 shell: "cd {{ cluster_dir }}/ssl && {{ base_dir }}/bin/cfssl gencert -ca=ca.pem -ca-key=ca-key.pem -config=ca-config.json -profile=kubernetes kubernetes-csr.json | {{ base_dir }}/bin/cfssljson -bare kubernetes" tags: change_cert, force_change_certs connection: local # 创建aggregator proxy相关证书 - name: 创建 aggregator proxy证书签名请求 template: src=aggregator-proxy-csr.json.j2 dest={{ cluster_dir }}/ssl/aggregator-proxy-csr.json connection: local tags: force_change_certs - name: 创建 aggregator-proxy证书和私钥 shell: "cd {{ cluster_dir }}/ssl && {{ base_dir }}/bin/cfssl gencert -ca=ca.pem -ca-key=ca-key.pem -config=ca-config.json -profile=kubernetes aggregator-proxy-csr.json | {{ base_dir }}/bin/cfssljson -bare aggregator-proxy" connection: local tags: force_change_certs - name: 分发 kubernetes证书 copy: src={{ cluster_dir }}/ssl/{{ item }} dest={{ ca_dir }}/{{ item }} with_items: - ca.pem - ca-key.pem - kubernetes.pem - kubernetes-key.pem - aggregator-proxy.pem - aggregator-proxy-key.pem tags: change_cert, force_change_certs - name: 替换 kubeconfig 的 apiserver 地址 lineinfile: dest: "{{ item }}" regexp: "^ server" line: " server: https://127.0.0.1:{{ SECURE_PORT }}" with_items: - "/etc/kubernetes/kube-controller-manager.kubeconfig" - "/etc/kubernetes/kube-scheduler.kubeconfig" tags: force_change_certs - name: 创建 master 服务的 systemd unit 文件 template: src={{ item }}.j2 dest=/etc/systemd/system/{{ item }} with_items: - kube-apiserver.service - kube-controller-manager.service - kube-scheduler.service tags: restart_master, upgrade_k8s - name: enable master 服务 shell: systemctl enable kube-apiserver kube-controller-manager kube-scheduler ignore_errors: true - name: 启动 master 服务 shell: "systemctl daemon-reload && systemctl restart kube-apiserver && systemctl restart kube-controller-manager && systemctl restart kube-scheduler" tags: upgrade_k8s, restart_master, force_change_certs # 轮询等待kube-apiserver启动完成 - name: 轮询等待kube-apiserver启动 shell: "systemctl is-active kube-apiserver.service" register: api_status until: '"active" in api_status.stdout' retries: 10 delay: 3 tags: upgrade_k8s, restart_master, force_change_certs # 轮询等待kube-controller-manager启动完成 - name: 轮询等待kube-controller-manager启动 shell: "systemctl is-active kube-controller-manager.service" register: cm_status until: '"active" in cm_status.stdout' retries: 8 delay: 3 tags: upgrade_k8s, restart_master, force_change_certs # 轮询等待kube-scheduler启动完成 - name: 轮询等待kube-scheduler启动 shell: "systemctl is-active kube-scheduler.service" register: sch_status until: '"active" in sch_status.stdout' retries: 8 delay: 3 tags: upgrade_k8s, restart_master, force_change_certs - block: - name: 复制kubectl.kubeconfig shell: 'cd {{ cluster_dir }} && cp -f kubectl.kubeconfig {{ K8S_NODENAME }}-kubectl.kubeconfig' tags: upgrade_k8s, restart_master, force_change_certs - name: 替换 kubeconfig 的 apiserver 地址 lineinfile: dest: "{{ cluster_dir }}/{{ K8S_NODENAME }}-kubectl.kubeconfig" regexp: "^ server" line: " server: https://{{ inventory_hostname }}:{{ SECURE_PORT }}" tags: upgrade_k8s, restart_master, force_change_certs - name: 轮询等待master服务启动完成 command: "{{ base_dir }}/bin/kubectl --kubeconfig={{ cluster_dir }}/{{ K8S_NODENAME }}-kubectl.kubeconfig get node" register: result until: result.rc == 0 retries: 5 delay: 6 tags: upgrade_k8s, restart_master, force_change_certs - name: 获取user:kubernetes是否已经绑定对应角色 shell: "{{ base_dir }}/bin/kubectl get clusterrolebindings|grep kubernetes-crb || echo 'notfound'" register: crb_info run_once: true - name: 创建user:kubernetes角色绑定 command: "{{ base_dir }}/bin/kubectl create clusterrolebinding kubernetes-crb --clusterrole=system:kubelet-api-admin --user=kubernetes" run_once: true when: "'notfound' in crb_info.stdout" connection: local root@deploy:/etc/kubeasz#
提示:上述kubeasz项目,部署master节点的任务,主要做了下载master节点所需的二进制组件,分发配置文件,证书密钥等文件、service文件,最后启动服务;如果我们需要自定义任务,可以修改上述文件来实现;
执行部署master节点
root@deploy:/etc/kubeasz# ./ezctl setup k8s-cluster01 04
在部署节点验证master节点是否可用获取到node信息?
root@k8s-deploy:/etc/kubeasz# kubectl get nodes NAME STATUS ROLES AGE VERSION 192.168.0.31 Ready,SchedulingDisabled master 2m6s v1.26.1 192.168.0.32 Ready,SchedulingDisabled master 2m6s v1.26.1 root@k8s-deploy:/etc/kubeasz#
提示:能够使用kubectl命令获取到节点信息,表示master部署成功;
部署k8s node节点
root@deploy:/etc/kubeasz# cat roles/kube-node/tasks/main.yml - name: 创建kube_node 相关目录 file: name={{ item }} state=directory with_items: - /var/lib/kubelet - /var/lib/kube-proxy - name: 下载 kubelet,kube-proxy 二进制和基础 cni plugins copy: src={{ base_dir }}/bin/{{ item }} dest={{ bin_dir }}/{{ item }} mode=0755 with_items: - kubectl - kubelet - kube-proxy - bridge - host-local - loopback tags: upgrade_k8s - name: 添加 kubectl 自动补全 lineinfile: dest: ~/.bashrc state: present regexp: 'kubectl completion' line: 'source 1{print $2}'" register: node_status until: node_status.stdout == "Ready" or node_status.stdout == "Ready,SchedulingDisabled" retries: 8 delay: 8 tags: upgrade_k8s, restart_node, force_change_certs connection: local - block: - name: Setting worker role name shell: "{{ base_dir }}/bin/kubectl label node {{ K8S_NODENAME }} kubernetes.io/role=node --overwrite" - name: Setting master role name shell: "{{ base_dir }}/bin/kubectl label node {{ K8S_NODENAME }} kubernetes.io/role=master --overwrite" when: "inventory_hostname in groups['kube_master']" - name: Making master nodes SchedulingDisabled shell: "{{ base_dir }}/bin/kubectl cordon {{ K8S_NODENAME }} " when: "inventory_hostname not in groups['kube_node']" ignore_errors: true connection: local root@deploy:/etc/kubeasz#
提示:上述是部署node节点任务,主要做了分发二进制文件,配置文件,配置kubelet、kubeproxy,启动服务;
root@deploy:/etc/kubeasz# cat roles/kube-lb/tasks/main.yml - name: prepare some dirs file: name={{ item }} state=directory with_items: - "/etc/kube-lb/sbin" - "/etc/kube-lb/logs" - "/etc/kube-lb/conf" - name: 下载二进制文件kube-lb(nginx) copy: src={{ base_dir }}/bin/nginx dest=/etc/kube-lb/sbin/kube-lb mode=0755 - name: 创建kube-lb的配置文件 template: src=kube-lb.conf.j2 dest=/etc/kube-lb/conf/kube-lb.conf tags: restart_kube-lb - name: 创建kube-lb的systemd unit文件 template: src=kube-lb.service.j2 dest=/etc/systemd/system/kube-lb.service tags: restart_kube-lb - name: 开机启用kube-lb服务 shell: systemctl enable kube-lb ignore_errors: true - name: 开启kube-lb服务 shell: systemctl daemon-reload && systemctl restart kube-lb ignore_errors: true tags: restart_kube-lb - name: 以轮询的方式等待kube-lb服务启动 shell: "systemctl is-active kube-lb.service" register: svc_status until: '"active" in svc_status.stdout' retries: 3 delay: 3 tags: restart_kube-lb root@deploy:/etc/kubeasz#
提示:这里说一下kubeasz部署master和node节点时,都会执行kube-lb这个role;这个role就是一个nginx,主要作用是反向代理master apiserver,即访问本地127.0.0.1:6443,对应访问会被反向代理至后端多个master apiserver,即便是在master本地也会代理;这样做的主要原因是分担外部负载均衡器的压力同时实现多master高可用;
如master上的kube-lb的配置文件
执行部署node节点
root@deploy:/etc/kubeasz# ./ezctl setup k8s-cluster01 05
验证:在部署节点获取node信息,看看是否能够正常获取到?
root@k8s-deploy:/etc/kubeasz# kubectl get nodes NAME STATUS ROLES AGE VERSION 192.168.0.31 Ready,SchedulingDisabled master 5m34s v1.26.1 192.168.0.32 Ready,SchedulingDisabled master 5m34s v1.26.1 192.168.0.34 Ready node 49s v1.26.1 192.168.0.35 Ready node 49s v1.26.1 root@k8s-deploy:/etc/kubeasz#
提示:能够通过kubectl获取到node信息,就表示对应master和node部署完成,至少master节点和node节点该有的组件都正常工作;至此k8s集群master节点和node节点的部署就完成了,接下部署calico网络插件;
部署网络组件calico
部署calico组件配置
提示:我们可以根据自己的环境修改calico部署配置;
查看calico所需镜像
验证部署节点本地镜像
root@deploy:/etc/kubeasz# docker images |grep calico easzlab.io.local:5000/calico/kube-controllers v3.24.5 38b76de417d5 5 months ago 71.4MB calico/kube-controllers v3.24.5 38b76de417d5 5 months ago 71.4MB calico/cni v3.24.5 628dd7088041 5 months ago 198MB easzlab.io.local:5000/calico/cni v3.24.5 628dd7088041 5 months ago 198MB calico/node v3.24.5 54637cb36d4a 5 months ago 226MB easzlab.io.local:5000/calico/node v3.24.5 54637cb36d4a 5 months ago 226MB root@deploy:/etc/kubeasz#
修改calico镜像标签为本地harbor地址
root@deploy:/etc/kubeasz# docker tag calico/kube-controllers:v3.24.5 harbor.ik8s.cc/baseimages/calico-kube-controllers:v3.24.5 root@deploy:/etc/kubeasz# docker tag calico/cni:v3.24.5 harbor.ik8s.cc/baseimages/calico-cni:v3.24.5 root@deploy:/etc/kubeasz# docker tag calico/node:v3.24.5 harbor.ik8s.cc/baseimages/calico-node:v3.24.5 root@deploy:/etc/kubeasz# docker images |grep harbor.ik8s.cc harbor.ik8s.cc/baseimages/calico-kube-controllers v3.24.5 38b76de417d5 5 months ago 71.4MB harbor.ik8s.cc/baseimages/calico-cni v3.24.5 628dd7088041 5 months ago 198MB harbor.ik8s.cc/baseimages/calico-node v3.24.5 54637cb36d4a 5 months ago 226MB harbor.ik8s.cc/baseimages/puase 3.9 e6f181688397 6 months ago 744kB root@deploy:/etc/kubeasz#
上传calico所需镜像至本地harbor仓库
root@deploy:/etc/kubeasz# docker images |grep harbor.ik8s.cc harbor.ik8s.cc/baseimages/calico-kube-controllers v3.24.5 38b76de417d5 5 months ago 71.4MB harbor.ik8s.cc/baseimages/calico-cni v3.24.5 628dd7088041 5 months ago 198MB harbor.ik8s.cc/baseimages/calico-node v3.24.5 54637cb36d4a 5 months ago 226MB harbor.ik8s.cc/baseimages/puase 3.9 e6f181688397 6 months ago 744kB root@deploy:/etc/kubeasz# docker push harbor.ik8s.cc/baseimages/calico-kube-controllers:v3.24.5 The push refers to repository [harbor.ik8s.cc/baseimages/calico-kube-controllers] 94bdfb9b7124: Pushed 24a4eecd61fd: Pushed 09319038a809: Pushed f7e577921f19: Pushed 9cab0912bb98: Pushed a52e3f04dc8c: Pushed b8bf2f4e1d07: Pushed ef82d1e1aaa1: Pushed e8c4822d8639: Pushed ed550b71315d: Pushed 3264ea6a9ecb: Pushed v3.24.5: digest: sha256:b28b1820f9bce61688482d812be9bbd1a4b44aafcfa8150d0844a756767b0be1 size: 2613 root@deploy:/etc/kubeasz# docker push harbor.ik8s.cc/baseimages/calico-cni:v3.24.5 The push refers to repository [harbor.ik8s.cc/baseimages/calico-cni] 5f70bf18a086: Pushed b3a0b0d29ccf: Pushed a6b1c279d580: Pushed 67f6c44f5f9e: Pushed af18e28a0eb7: Pushed aa6df39249bf: Pushed f8bda2d7bb4b: Pushed 7b09b9696e30: Pushed deda2ebd5e37: Pushed v3.24.5: digest: sha256:6d29e8402585431e5044ebddc70f19fe9c8a12d1f3651b12b7cd55407cbdebca size: 2196 root@deploy:/etc/kubeasz# docker push harbor.ik8s.cc/baseimages/calico-node:v3.24.5 The push refers to repository [harbor.ik8s.cc/baseimages/calico-node] 6ab78488a973: Pushed 928dad078487: Pushed v3.24.5: digest: sha256:5c614b62b13d6a45826ea3ff72022be6aef7637198f8c1c83c2d2d547206a4a0 size: 737 root@deploy:/etc/kubeasz#
提示:这样做的目的可以有效提高去外网下载calico镜像的时间;
验证:在harborweb页面查看对应镜像是否上传至harbor仓库?
修改配置yaml文件中的镜像地址为本地harbor仓库地址
root@deploy:/etc/kubeasz# grep "image:" roles/calico/templates/calico-v3.24.yaml.j2 image: harbor.ik8s.cc/baseimages/calico-cni:v3.24.5 image: harbor.ik8s.cc/baseimages/calico-node:v3.24.5 image: harbor.ik8s.cc/baseimages/calico-node:v3.24.5 image: harbor.ik8s.cc/baseimages/calico-kube-controllers:v3.24.5 root@deploy:/etc/kubeasz#
执行部署calico网络插件
root@deploy:/etc/kubeasz# ./ezctl setup k8s-cluster01 06
验证:calico pod是否正常运行?
root@k8s-deploy:/etc/kubeasz# kubectl get pods -A NAMESPACE NAME READY STATUS RESTARTS AGE kube-system calico-kube-controllers-5456dd947c-pwl2n 1/1 Running 0 80s kube-system calico-node-79gvr 1/1 Running 0 80s kube-system calico-node-rvbj5 1/1 Running 0 80s kube-system calico-node-x2dvv 1/1 Running 0 80s kube-system calico-node-xc9sg 1/1 Running 0 80s root@k8s-deploy:/etc/kubeasz#
master上验证calico
root@k8s-master01:~# calicoctl node status Calico process is running. IPv4 BGP status +--------------+-------------------+-------+----------+-------------+ | PEER ADDRESS | PEER TYPE | STATE | SINCE | INFO | +--------------+-------------------+-------+----------+-------------+ | 192.168.0.32 | node-to-node mesh | up | 14:25:35 | Established | | 192.168.0.34 | node-to-node mesh | up | 14:25:35 | Established | | 192.168.0.35 | node-to-node mesh | up | 14:25:34 | Established | +--------------+-------------------+-------+----------+-------------+ IPv6 BGP status No IPv6 peers found. root@k8s-master01:~#
node节点上验证calico
root@k8s-node02:~# calicoctl node status Calico process is running. IPv4 BGP status +--------------+-------------------+-------+----------+-------------+ | PEER ADDRESS | PEER TYPE | STATE | SINCE | INFO | +--------------+-------------------+-------+----------+-------------+ | 192.168.0.31 | node-to-node mesh | up | 14:25:33 | Established | | 192.168.0.32 | node-to-node mesh | up | 14:25:33 | Established | | 192.168.0.34 | node-to-node mesh | up | 14:25:33 | Established | +--------------+-------------------+-------+----------+-------------+ IPv6 BGP status No IPv6 peers found. root@k8s-node02:~#
提示:能够在master节点和node节点通过calicoctl 命令查询到其他节点信息,说明calico插件就部署好了;
验证pod通信
复制部署节点上/root/.kube/config文件至master节点
root@k8s-deploy:/etc/kubeasz# scp /root/.kube/config 192.168.0.31:/root/.kube/ config 100% 6196 3.8MB/s 00:00 root@k8s-deploy:/etc/kubeasz#
提示:这一步不是必须的,如果你要在master节点使用kubectl命令来管理集群,就把配置文件复制过去;
修改/root/.kube/config文件中apiserver地址为外部负载均衡地址
测试kubectl命令是否正常可用?
提示:如果能够正常执行kubectl命令,说明外部负载均衡器没有问题;
创建测试pod
root@k8s-master01:~# kubectl run test --image=alpine sleep 36000 pod/test created root@k8s-master01:~# kubectl run test1 --image=alpine sleep 36000 pod/test1 created root@k8s-master01:~# kubectl run test2 --image=alpine sleep 36000 pod/test2 created root@k8s-master01:~#
查看pod IP网络地址
root@k8s-master01:~# kubectl get pods -o wide NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES test 1/1 Running 0 63s 10.200.209.1 192.168.0.35test1 1/1 Running 0 58s 10.200.209.2 192.168.0.35 test2 1/1 Running 0 47s 10.200.211.129 192.168.0.34 root@k8s-master01:~#
进入任意测试pod,ping其他两个pod,看看是否能够正常ping通?是否可以正常访问互联网?
提示:可以看到pod和pod之间可以正常跨主机通信,也可以正常访问到外网,这里需要注意,现在集群还没有部署coredns,所以这里直接ping www.baidu.com是无法正常解析的;
集群节点伸缩管理
添加node节点
root@k8s-deploy:/etc/kubeasz# ./ezctl add-node k8s-cluster01 192.168.0.36
提示:删除node节点使用 ezctl del-node k8s-cluster01
验证节点信息
root@k8s-deploy:/etc/kubeasz# kubectl get node NAME STATUS ROLES AGE VERSION 192.168.0.31 Ready,SchedulingDisabled master 26m v1.26.1 192.168.0.32 Ready,SchedulingDisabled master 26m v1.26.1 192.168.0.34 Ready node 21m v1.26.1 192.168.0.35 Ready node 21m v1.26.1 192.168.0.36 Ready node 63s v1.26.1 root@k8s-deploy:/etc/kubeasz#
添加master节点
root@deploy:/etc/kubeasz# ./ezctl add-master k8s-cluster01 192.168.0.33
提示:删除master节点使用 ezctl del-master k8s-cluster01
验证节点信息
root@k8s-deploy:/etc/kubeasz# kubectl get node NAME STATUS ROLES AGE VERSION 192.168.0.31 Ready,SchedulingDisabled master 31m v1.26.1 192.168.0.32 Ready,SchedulingDisabled master 31m v1.26.1 192.168.0.33 Ready,SchedulingDisabled master 107s v1.26.1 192.168.0.34 Ready node 26m v1.26.1 192.168.0.35 Ready node 26m v1.26.1 192.168.0.36 Ready node 6m25s v1.26.1 root@k8s-deploy:/etc/kubeasz#
验证calico状态
root@k8s-master03:~# calicoctl node status Calico process is running. IPv4 BGP status +--------------+-------------------+-------+----------+-------------+ | PEER ADDRESS | PEER TYPE | STATE | SINCE | INFO | +--------------+-------------------+-------+----------+-------------+ | 192.168.0.31 | node-to-node mesh | up | 14:42:50 | Established | | 192.168.0.32 | node-to-node mesh | up | 14:42:02 | Established | | 192.168.0.34 | node-to-node mesh | up | 14:43:01 | Established | | 192.168.0.35 | node-to-node mesh | up | 14:42:19 | Established | | 192.168.0.36 | node-to-node mesh | up | 14:42:30 | Established | +--------------+-------------------+-------+----------+-------------+ IPv6 BGP status No IPv6 peers found. root@k8s-master03:~#
验证node节点路由
root@k8s-master03:~# route -n Kernel IP routing table Destination Gateway Genmask Flags Metric Ref Use Iface 0.0.0.0 192.168.0.1 0.0.0.0 UG 0 0 0 ens160 10.200.62.128 192.168.0.32 255.255.255.192 UG 0 0 0 tunl0 10.200.98.192 0.0.0.0 255.255.255.192 U 0 0 0 * 10.200.124.128 192.168.0.31 255.255.255.192 UG 0 0 0 tunl0 10.200.155.128 192.168.0.36 255.255.255.192 UG 0 0 0 tunl0 10.200.209.0 192.168.0.35 255.255.255.192 UG 0 0 0 tunl0 10.200.211.128 192.168.0.34 255.255.255.192 UG 0 0 0 tunl0 192.168.0.0 0.0.0.0 255.255.255.0 U 0 0 0 ens160 root@k8s-master03:~#
升级集群(建议跨小本号升级,如果跨大版本号升级请充分测试没有问题再升级)
升级前需提前下载好用于更新的master 组件二进制、node节点组件二进制以及客户端二进制
复制二进制文件至/etc/kubeasz/bin/
root@deploy:/usr/local/src# ls kubernetes/server/bin/ apiextensions-apiserver kube-controller-manager kube-proxy.docker_tag kubeadm kube-aggregator kube-controller-manager.docker_tag kube-proxy.tar kubectl kube-apiserver kube-controller-manager.tar kube-scheduler kubectl-convert kube-apiserver.docker_tag kube-log-runner kube-scheduler.docker_tag kubelet kube-apiserver.tar kube-proxy kube-scheduler.tar mounter root@deploy:/usr/local/src# cd kubernetes/server/bin/ root@deploy:/usr/local/src/kubernetes/server/bin# cp kube-apiserver kube-controller-manager kube-scheduler kubelet kube-proxy kubectl /etc/kubeasz/bin/ root@deploy:/usr/local/src/kubernetes/server/bin# ls /etc/kubeasz/bin/ bridge chronyd ctr dockerd hubble kube-scheduler portmap calicoctl cilium docker etcd keepalived kubectl runc cfssl containerd docker-compose etcdctl kube-apiserver kubelet tuning cfssl-certinfo containerd-bin docker-init helm kube-controller-manager loopback cfssljson containerd-shim-runc-v2 docker-proxy host-local kube-proxy nginx root@deploy:/usr/local/src/kubernetes/server/bin#
验证/etc/kubeasz/bin/各组件是否是我们想要升级版本
root@deploy:/usr/local/src/kubernetes/server/bin# cd /etc/kubeasz/bin/ root@deploy:/etc/kubeasz/bin# ls bridge chronyd ctr dockerd hubble kube-scheduler portmap calicoctl cilium docker etcd keepalived kubectl runc cfssl containerd docker-compose etcdctl kube-apiserver kubelet tuning cfssl-certinfo containerd-bin docker-init helm kube-controller-manager loopback cfssljson containerd-shim-runc-v2 docker-proxy host-local kube-proxy nginx root@deploy:/etc/kubeasz/bin# ./kube-apiserver --version Kubernetes v1.26.4 root@deploy:/etc/kubeasz/bin# ./kube-controller-manager --version Kubernetes v1.26.4 root@deploy:/etc/kubeasz/bin# ./kube-scheduler --version Kubernetes v1.26.4 root@deploy:/etc/kubeasz/bin#
执行升级集群操作
root@deploy:/etc/kubeasz# ./ezctl upgrade k8s-cluster01
验证节点版本信息
root@k8s-deploy:/etc/kubeasz# kubectl get nodes NAME STATUS ROLES AGE VERSION 192.168.0.31 Ready,SchedulingDisabled master 46m v1.26.4 192.168.0.32 Ready,SchedulingDisabled master 46m v1.26.4 192.168.0.33 Ready,SchedulingDisabled master 16m v1.26.4 192.168.0.34 Ready node 41m v1.26.4 192.168.0.35 Ready node 41m v1.26.4 192.168.0.36 Ready node 21m v1.26.4 root@k8s-deploy:/etc/kubeasz#
提示:上面我们使用的是kubeasz来更行k8s集群master和node;我们也可以手动更新;
手动更新
方法1:将⼆进制⽂件同步到其它路径,修改service⽂件加载新版本⼆进制,即⽤新版本替换旧版本;
方法2:关闭源服务、替换⼆进制⽂件然后启动服务,即直接替换旧版本;
将coredns及dashboard部署至kubernetes集群
部署k8s内部域名解析服务coredns
root@deploy:~# cat coredns-v1.9.4.yaml # __MACHINE_GENERATED_WARNING__ apiVersion: v1 kind: ServiceAccount metadata: name: coredns namespace: kube-system labels: kubernetes.io/cluster-service: "true" addonmanager.kubernetes.io/mode: Reconcile --- apiVersion: rbac.authorization.k8s.io/v1 kind: ClusterRole metadata: labels: kubernetes.io/bootstrapping: rbac-defaults addonmanager.kubernetes.io/mode: Reconcile name: system:coredns rules: - apiGroups: - "" resources: - endpoints - services - pods - namespaces verbs: - list - watch - apiGroups: - "" resources: - nodes verbs: - get - apiGroups: - discovery.k8s.io resources: - endpointslices verbs: - list - watch --- apiVersion: rbac.authorization.k8s.io/v1 kind: ClusterRoleBinding metadata: annotations: rbac.authorization.kubernetes.io/autoupdate: "true" labels: kubernetes.io/bootstrapping: rbac-defaults addonmanager.kubernetes.io/mode: EnsureExists name: system:coredns roleRef: apiGroup: rbac.authorization.k8s.io kind: ClusterRole name: system:coredns subjects: - kind: ServiceAccount name: coredns namespace: kube-system --- apiVersion: v1 kind: ConfigMap metadata: name: coredns namespace: kube-system labels: addonmanager.kubernetes.io/mode: EnsureExists data: Corefile: | .:53 { errors health { lameduck 5s } ready kubernetes cluster.local in-addr.arpa ip6.arpa { pods insecure fallthrough in-addr.arpa ip6.arpa ttl 30 } prometheus :9153 #forward . /etc/resolv.conf { forward . 223.6.6.6 { max_concurrent 1000 } cache 600 loop reload loadbalance } myserver.online { forward . 172.16.16.16:53 } --- apiVersion: apps/v1 kind: Deployment metadata: name: coredns namespace: kube-system labels: k8s-app: kube-dns kubernetes.io/cluster-service: "true" addonmanager.kubernetes.io/mode: Reconcile kubernetes.io/name: "CoreDNS" spec: # replicas: not specified here: # 1. In order to make Addon Manager do not reconcile this replicas parameter. # 2. Default is 1. # 3. Will be tuned in real time if DNS horizontal auto-scaling is turned on. replicas: 2 strategy: type: RollingUpdate rollingUpdate: maxUnavailable: 1 selector: matchLabels: k8s-app: kube-dns template: metadata: labels: k8s-app: kube-dns spec: securityContext: seccompProfile: type: RuntimeDefault priorityClassName: system-cluster-critical serviceAccountName: coredns affinity: podAntiAffinity: preferredDuringSchedulingIgnoredDuringExecution: - weight: 100 podAffinityTerm: labelSelector: matchExpressions: - key: k8s-app operator: In values: ["kube-dns"] topologyKey: kubernetes.io/hostname tolerations: - key: "CriticalAddonsOnly" operator: "Exists" nodeSelector: kubernetes.io/os: linux containers: - name: coredns image: coredns/coredns:1.9.4 imagePullPolicy: IfNotPresent resources: limits: memory: 256Mi cpu: 200m requests: cpu: 100m memory: 70Mi args: [ "-conf", "/etc/coredns/Corefile" ] volumeMounts: - name: config-volume mountPath: /etc/coredns readOnly: true ports: - containerPort: 53 name: dns protocol: UDP - containerPort: 53 name: dns-tcp protocol: TCP - containerPort: 9153 name: metrics protocol: TCP livenessProbe: httpGet: path: /health port: 8080 scheme: HTTP initialDelaySeconds: 60 timeoutSeconds: 5 successThreshold: 1 failureThreshold: 5 readinessProbe: httpGet: path: /ready port: 8181 scheme: HTTP securityContext: allowPrivilegeEscalation: false capabilities: add: - NET_BIND_SERVICE drop: - all readOnlyRootFilesystem: true dnsPolicy: Default volumes: - name: config-volume configMap: name: coredns items: - key: Corefile path: Corefile --- apiVersion: v1 kind: Service metadata: name: kube-dns namespace: kube-system annotations: prometheus.io/port: "9153" prometheus.io/scrape: "true" labels: k8s-app: kube-dns kubernetes.io/cluster-service: "true" addonmanager.kubernetes.io/mode: Reconcile kubernetes.io/name: "CoreDNS" spec: selector: k8s-app: kube-dns clusterIP: 10.100.0.2 ports: - name: dns port: 53 protocol: UDP - name: dns-tcp port: 53 protocol: TCP - name: metrics port: 9153 protocol: TCP root@deploy:~#
查看coredns 所需镜像
root@deploy:~# cat coredns-v1.9.4.yaml|grep image: image: coredns/coredns:1.9.4 root@deploy:~#
部署节点下载镜像,修改标签,上传至harbor仓库
root@deploy:~# docker pull coredns/coredns:1.9.4 1.9.4: Pulling from coredns/coredns c6824c7a0594: Pull complete 8f16f0bc6a9b: Pull complete Digest: sha256:b82e294de6be763f73ae71266c8f5466e7e03c69f3a1de96efd570284d35bb18 Status: Downloaded newer image for coredns/coredns:1.9.4 docker.io/coredns/coredns:1.9.4 root@deploy:~# docker tag coredns/coredns:1.9.4 harbor.ik8s.cc/baseimages/coredns:1.9.4 root@deploy:~# docker push harbor.ik8s.cc/baseimages/coredns:1.9.4 The push refers to repository [harbor.ik8s.cc/baseimages/coredns] 4669672e3ff4: Pushed b928104c6a1d: Pushed 1.9.4: digest: sha256:490711c06f083f563700f181b52529dab526ef36fdac7401f11c04eb1adfe4fd size: 739 root@deploy:~#
修改部署清单镜像地址为harbor仓库地址
root@deploy:~# cat coredns-v1.9.4.yaml|grep image: image: harbor.ik8s.cc/baseimages/coredns:1.9.4 root@deploy:~#
应用coredns部署清单
root@deploy:~# kubectl apply -f coredns-v1.9.4.yaml serviceaccount/coredns created clusterrole.rbac.authorization.k8s.io/system:coredns created clusterrolebinding.rbac.authorization.k8s.io/system:coredns created configmap/coredns created deployment.apps/coredns created service/kube-dns created root@deploy:~#
验证coredns pods是否正常运行?
root@k8s-deploy:~# kubectl get pods -A NAMESPACE NAME READY STATUS RESTARTS AGE default test 1/1 Running 0 31m default test1 1/1 Running 0 31m default test2 1/1 Running 0 31m kube-system calico-kube-controllers-5456dd947c-pwl2n 1/1 Running 1 (6m14s ago) 36m kube-system calico-node-4zmb4 1/1 Running 0 20m kube-system calico-node-7lc66 1/1 Running 0 19m kube-system calico-node-bkhkd 1/1 Running 0 19m kube-system calico-node-mw49k 1/1 Running 0 18m kube-system calico-node-v726r 1/1 Running 0 20m kube-system calico-node-x9r7h 1/1 Running 0 19m kube-system coredns-77879dc67d-cfzfj 1/1 Running 0 13s kube-system coredns-77879dc67d-d7hgw 1/1 Running 0 13s root@k8s-deploy:~#
验证:创建测试pod,看看对应pod是否可用正常解析域名?
root@k8s-deploy:~# kubectl get pods -A NAMESPACE NAME READY STATUS RESTARTS AGE default test 1/1 Running 0 31m default test1 1/1 Running 0 31m default test2 1/1 Running 0 31m kube-system calico-kube-controllers-5456dd947c-pwl2n 1/1 Running 1 (6m49s ago) 37m kube-system calico-node-4zmb4 1/1 Running 0 20m kube-system calico-node-7lc66 1/1 Running 0 19m kube-system calico-node-bkhkd 1/1 Running 0 20m kube-system calico-node-mw49k 1/1 Running 0 19m kube-system calico-node-v726r 1/1 Running 0 20m kube-system calico-node-x9r7h 1/1 Running 0 20m kube-system coredns-77879dc67d-cfzfj 1/1 Running 0 48s kube-system coredns-77879dc67d-d7hgw 1/1 Running 0 48s root@k8s-deploy:~# kubectl exec -it test -- sh / # cat /etc/resolv.conf search default.svc.cluster.local svc.cluster.local cluster.local nameserver 10.100.0.2 options ndots:5 / # ping www.baidu.com PING www.baidu.com (14.119.104.254): 56 data bytes 64 bytes from 14.119.104.254: seq=0 ttl=53 time=45.400 ms ^C --- www.baidu.com ping statistics --- 1 packets transmitted, 1 packets received, 0% packet loss round-trip min/avg/max = 45.400/45.400/45.400 ms / # exit root@k8s-deploy:~# kubectl get svc -A NAMESPACE NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE default kubernetes ClusterIP 10.100.0.1443/TCP 52m kube-system kube-dns ClusterIP 10.100.0.2 53/UDP,53/TCP,9153/TCP 81s root@k8s-deploy:~#
提示:可用看到部署coredns以后,现在容器里就可以正常解析域名;
部署官方dashboard
下载官方dashboard部署清单
root@k8s-master01:~# wget https://raw.githubusercontent.com/kubernetes/dashboard/v2.7.0/aio/deploy/recommended.yaml
查看清单所需镜像
root@k8s-master01:~# mv recommended.yaml dashboard-v2.7.0.yaml root@k8s-master01:~# cat dashboard-v2.7.0.yaml|grep image: image: kubernetesui/dashboard:v2.7.0 image: kubernetesui/metrics-scraper:v1.0.8 root@k8s-master01:~#
下载所需镜像,重新打上本地harbor仓库地址的标签并上传至本地harbor仓库
root@k8s-master01:~# nerdctl pull kubernetesui/dashboard:v2.7.0 WARN[0000] skipping verifying HTTPS certs for "docker.io" docker.io/kubernetesui/dashboard:v2.7.0: resolved |++++++++++++++++++++++++++++++++++++++| index-sha256:2e500d29e9d5f4a086b908eb8dfe7ecac57d2ab09d65b24f588b1d449841ef93: done |++++++++++++++++++++++++++++++++++++++| manifest-sha256:ca93706ef4e400542202d620b8094a7e4e568ca9b1869c71b053cdf8b5dc3029: done |++++++++++++++++++++++++++++++++++++++| config-sha256:07655ddf2eebe5d250f7a72c25f638b27126805d61779741b4e62e69ba080558: done |++++++++++++++++++++++++++++++++++++++| layer-sha256:8e052fd7e2d0aec4ef51e4505d006158414775ad5f0ea3e479ac0ba92f90dfff: done |++++++++++++++++++++++++++++++++++++++| layer-sha256:ee3247c7e545df975ba3826979c7a8d73f1373cbb3ac47def3b734631cef2965: done |++++++++++++++++++++++++++++++++++++++| elapsed: 41.6s total: 72.3 M (1.7 MiB/s) root@k8s-master01:~# nerdctl pull kubernetesui/metrics-scraper:v1.0.8 WARN[0000] skipping verifying HTTPS certs for "docker.io" docker.io/kubernetesui/metrics-scraper:v1.0.8: resolved |++++++++++++++++++++++++++++++++++++++| index-sha256:76049887f07a0476dc93efc2d3569b9529bf982b22d29f356092ce206e98765c: done |++++++++++++++++++++++++++++++++++++++| manifest-sha256:43227e8286fd379ee0415a5e2156a9439c4056807e3caa38e1dd413b0644807a: done |++++++++++++++++++++++++++++++++++++++| config-sha256:115053965e86b2df4d78af78d7951b8644839d20a03820c6df59a261103315f7: done |++++++++++++++++++++++++++++++++++++++| layer-sha256:5866d2c04d960790300cbd8b18d67be6b930870d044dd75849c8c96191fe7580: done |++++++++++++++++++++++++++++++++++++++| layer-sha256:978be80e3ee3098e11be2b18322822513d692988440ec1e74620e8539b07704d: done |++++++++++++++++++++++++++++++++++++++| elapsed: 21.3s total: 18.8 M (905.2 KiB/s) root@k8s-master01:~# nerdctl images REPOSITORY TAG IMAGE ID CREATED PLATFORM SIZE BLOB SIZE kubernetesui/dashboard v2.7.0 2e500d29e9d5 44 seconds ago linux/amd64 245.8 MiB 72.3 MiB kubernetesui/metrics-scraper v1.0.8 76049887f07a 8 seconds ago linux/amd64 41.8 MiB 18.8 MiB ubuntu 22.04 67211c14fa74 2 hours ago linux/amd64 83.4 MiB 28.2 MiB harbor.ik8s.cc/baseimages/calico-cni v3.24.5 6d29e8402585 About an hour ago linux/amd64 188.5 MiB 83.4 MiB harbor.ik8s.cc/baseimages/calico-cni6d29e8402585 About an hour ago linux/amd64 188.5 MiB 83.4 MiB harbor.ik8s.cc/baseimages/calico-node v3.24.5 5c614b62b13d About an hour ago linux/amd64 224.4 MiB 77.8 MiB harbor.ik8s.cc/baseimages/calico-node 5c614b62b13d About an hour ago linux/amd64 224.4 MiB 77.8 MiB harbor.ik8s.cc/baseimages/pause 3.9 0fc1f3b764be About an hour ago linux/amd64 732.0 KiB 311.6 KiB harbor.ik8s.cc/baseimages/pause 0fc1f3b764be About an hour ago linux/amd64 732.0 KiB 311.6 KiB harbor.ik8s.cc/baseimages/ubuntu 22.04 67211c14fa74 2 hours ago linux/amd64 83.4 MiB 28.2 MiB 2e500d29e9d5 45 seconds ago linux/amd64 245.8 MiB 72.3 MiB 67211c14fa74 2 hours ago linux/amd64 83.4 MiB 28.2 MiB 76049887f07a 9 seconds ago linux/amd64 41.8 MiB 18.8 MiB 5c614b62b13d About an hour ago linux/amd64 224.4 MiB 77.8 MiB 6d29e8402585 About an hour ago linux/amd64 188.5 MiB 83.4 MiB 0fc1f3b764be About an hour ago linux/amd64 732.0 KiB 311.6 KiB root@k8s-master01:~# nerdctl tag kubernetesui/dashboard:v2.7.0 harbor.ik8s.cc/baseimages/dashboard:v2.7.0 root@k8s-master01:~# nerdctl tag kubernetesui/metrics-scraper:v1.0.8 harbor.ik8s.cc/baseimages/metrics-scraper:v1.0.8 root@k8s-master01:~# nerdctl push harbor.ik8s.cc/baseimages/dashboard:v2.7.0 INFO[0000] pushing as a reduced-platform image (application/vnd.docker.distribution.manifest.list.v2+json, sha256:e7b964bcdfcc9dee6b286e58a5ad2d599e837996e8975f7deb96f3707f06ede1) WARN[0000] skipping verifying HTTPS certs for "harbor.ik8s.cc" index-sha256:e7b964bcdfcc9dee6b286e58a5ad2d599e837996e8975f7deb96f3707f06ede1: done |++++++++++++++++++++++++++++++++++++++| manifest-sha256:ca93706ef4e400542202d620b8094a7e4e568ca9b1869c71b053cdf8b5dc3029: done |++++++++++++++++++++++++++++++++++++++| config-sha256:07655ddf2eebe5d250f7a72c25f638b27126805d61779741b4e62e69ba080558: done |++++++++++++++++++++++++++++++++++++++| elapsed: 1.8 s total: 2.5 Ki (1.4 KiB/s) root@k8s-master01:~# nerdctl push harbor.ik8s.cc/baseimages/metrics-scraper:v1.0.8 INFO[0000] pushing as a reduced-platform image (application/vnd.docker.distribution.manifest.list.v2+json, sha256:9fdef455b4f9a8ee315a0aa3bd71787cfd929e759da3b4d7e65aaa56510d747b) WARN[0000] skipping verifying HTTPS certs for "harbor.ik8s.cc" index-sha256:9fdef455b4f9a8ee315a0aa3bd71787cfd929e759da3b4d7e65aaa56510d747b: done |++++++++++++++++++++++++++++++++++++++| manifest-sha256:43227e8286fd379ee0415a5e2156a9439c4056807e3caa38e1dd413b0644807a: done |++++++++++++++++++++++++++++++++++++++| config-sha256:115053965e86b2df4d78af78d7951b8644839d20a03820c6df59a261103315f7: done |++++++++++++++++++++++++++++++++++++++| elapsed: 1.2 s total: 2.2 Ki (1.8 KiB/s) root@k8s-master01:~#
修改部署文件中镜像地址为harbor仓库对应镜像地址
root@k8s-master01:~# grep "image:" dashboard-v2.7.0.yaml image: harbor.ik8s.cc/baseimages/dashboard:v2.7.0 image: harbor.ik8s.cc/baseimages/metrics-scraper:v1.0.8 root@k8s-master01:~#
应用dashboard部署清单
root@k8s-master01:~# kubectl apply -f dashboard-v2.7.0.yaml namespace/kubernetes-dashboard created serviceaccount/kubernetes-dashboard created service/kubernetes-dashboard created secret/kubernetes-dashboard-certs created secret/kubernetes-dashboard-csrf created secret/kubernetes-dashboard-key-holder created configmap/kubernetes-dashboard-settings created role.rbac.authorization.k8s.io/kubernetes-dashboard created clusterrole.rbac.authorization.k8s.io/kubernetes-dashboard created rolebinding.rbac.authorization.k8s.io/kubernetes-dashboard created clusterrolebinding.rbac.authorization.k8s.io/kubernetes-dashboard created deployment.apps/kubernetes-dashboard created service/dashboard-metrics-scraper created deployment.apps/dashboard-metrics-scraper created root@k8s-master01:~#
验证:查看pods是否正常运行?
查看dashboard 服务地址
创建admin用户和secret密钥
root@k8s-master01:~# cat admin-user.yaml apiVersion: v1 kind: ServiceAccount metadata: name: admin-user namespace: kubernetes-dashboard --- apiVersion: rbac.authorization.k8s.io/v1 kind: ClusterRoleBinding metadata: name: admin-user roleRef: apiGroup: rbac.authorization.k8s.io kind: ClusterRole name: cluster-admin subjects: - kind: ServiceAccount name: admin-user namespace: kubernetes-dashboard root@k8s-master01:~# cat admin-secret.yaml apiVersion: v1 kind: Secret type: kubernetes.io/service-account-token metadata: name: dashboard-admin-user namespace: kubernetes-dashboard annotations: kubernetes.io/service-account.name: "admin-user" root@k8s-master01:~# kubectl apply -f admin-user.yaml -f admin-secret.yaml serviceaccount/admin-user created clusterrolebinding.rbac.authorization.k8s.io/admin-user created secret/dashboard-admin-user created root@k8s-master01:~#
获取token
root@k8s-master01:~# kubectl get secret -A | grep admin kubernetes-dashboard dashboard-admin-user kubernetes.io/service-account-token 3 40s root@k8s-master01:~# kubectl describe secret -n kubernetes-dashboard dashboard-admin-user Name: dashboard-admin-user Namespace: kubernetes-dashboard Labels:Annotations: kubernetes.io/service-account.name: admin-user kubernetes.io/service-account.uid: a82489da-be4e-4b7e-a027-4df357a266a7 Type: kubernetes.io/service-account-token Data ==== ca.crt: 1310 bytes namespace: 20 bytes token: eyJhbGciOiJSUzI1NiIsImtpZCI6InZEWHEzTmlLLXQ1bmxkTzloVEtUSWFhWkxMUUFsQ1RGWWVmRktPS1BnbncifQ.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.c67v-mp1UGxI4Uw05xB0do2rh6gTZ7SFcyUHlzjABB4POr1FIKIp_KQd4ejIq4N1mDSke2TpF8FlmKbOZESZICghVtPcn3ajbZMPAJ9zjscM31W6xazLfc5jgg224kHAziRVOyZdWThC2VPK12-36p1RpCaLi3Mk_gs96U9xsZXYQ6BbfOLP6uTE98oi4ghQW02TqU9qGUEdrTqJJKqpxZJk2Rq_5anxidcq6omXYIsgOOwNMboVembo4CPlRocj1YIyPPEaANBdAsg5Xv99Vv1QaaRmDOeMst_aX-csiULyZUK4FIjSZB_TLRQyii_ZFnnVLmVQ5TCeRGTWSxDi8w root@k8s-master01:~#
登录dashboard
设置token登录保持时间
再次应用部署清单
root@k8s-master01:~# kubectl apply -f dashboard-v2.7.0.yaml
基于Kubeconfig⽂件登录
制作Kubeconfig⽂件
root@k8s-master01:~# cp /root/.kube/config /opt/kubeconfig root@k8s-master01:~# vim /opt/kubeconfig
提示:在kubeconfig文件中加上token信息即可;如下
root@k8s-master01:~# cat /opt/kubeconfig apiVersion: v1 clusters: - cluster: certificate-authority-data: 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 server: https://192.168.0.111:6443 name: cluster1 contexts: - context: cluster: cluster1 user: admin name: context-cluster1 current-context: context-cluster1 kind: Config preferences: {} users: - name: admin user: client-certificate-data: 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 client-key-data: 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 token: eyJhbGciOiJSUzI1NiIsImtpZCI6InZEWHEzTmlLLXQ1bmxkTzloVEtUSWFhWkxMUUFsQ1RGWWVmRktPS1BnbncifQ.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.c67v-mp1UGxI4Uw05xB0do2rh6gTZ7SFcyUHlzjABB4POr1FIKIp_KQd4ejIq4N1mDSke2TpF8FlmKbOZESZICghVtPcn3ajbZMPAJ9zjscM31W6xazLfc5jgg224kHAziRVOyZdWThC2VPK12-36p1RpCaLi3Mk_gs96U9xsZXYQ6BbfOLP6uTE98oi4ghQW02TqU9qGUEdrTqJJKqpxZJk2Rq_5anxidcq6omXYIsgOOwNMboVembo4CPlRocj1YIyPPEaANBdAsg5Xv99Vv1QaaRmDOeMst_aX-csiULyZUK4FIjSZB_TLRQyii_ZFnnVLmVQ5TCeRGTWSxDi8w root@k8s-master01:~#
提示:将上述文件导出即可使用kubeconfig文件来登录dashboard;
验证使用kubeconfig文件登录dashboard
部署第三方dashboard kuboard
为kuboard准备存放数据的目录,安装nfs-server
root@harbor:~# apt install nfs-server -y root@harbor:~# mkdir -p /data/k8sdata/kuboard root@harbor:~# cat /etc/exports # /etc/exports: the access control list for filesystems which may be exported # to NFS clients. See exports(5). # # Example for NFSv2 and NFSv3: # /srv/homes hostname1(rw,sync,no_subtree_check) hostname2(ro,sync,no_subtree_check) # # Example for NFSv4: # /srv/nfs4 gss/krb5i(rw,sync,fsid=0,crossmnt,no_subtree_check) # /srv/nfs4/homes gss/krb5i(rw,sync,no_subtree_check) # /data/k8sdata/kuboard *(rw,no_root_squash) root@harbor:~# systemctl restart nfs-server root@harbor:~# systemctl enable nfs-server root@harbor:~#
部署kuboard
root@k8s-master01:~/kuboard# cat kuboard-all-in-one.yaml --- apiVersion: v1 kind: Namespace metadata: name: kuboard --- apiVersion: apps/v1 kind: Deployment metadata: annotations: {} labels: k8s.kuboard.cn/name: kuboard-v3 name: kuboard-v3 namespace: kuboard spec: replicas: 1 revisionHistoryLimit: 10 selector: matchLabels: k8s.kuboard.cn/name: kuboard-v3 template: metadata: labels: k8s.kuboard.cn/name: kuboard-v3 spec: #affinity: # nodeAffinity: # preferredDuringSchedulingIgnoredDuringExecution: # - preference: # matchExpressions: # - key: node-role.kubernetes.io/master # operator: Exists # weight: 100 # - preference: # matchExpressions: # - key: node-role.kubernetes.io/control-plane # operator: Exists # weight: 100 volumes: - name: kuboard-data nfs: server: 192.168.0.42 path: /data/k8sdata/kuboard containers: - env: - name: "KUBOARD_ENDPOINT" value: "http://kuboard-v3:80" - name: "KUBOARD_AGENT_SERVER_TCP_PORT" value: "10081" image: swr.cn-east-2.myhuaweicloud.com/kuboard/kuboard:v3 volumeMounts: - name: kuboard-data mountPath: /data readOnly: false imagePullPolicy: Always livenessProbe: failureThreshold: 3 httpGet: path: / port: 80 scheme: HTTP initialDelaySeconds: 30 periodSeconds: 10 successThreshold: 1 timeoutSeconds: 1 name: kuboard ports: - containerPort: 80 name: web protocol: TCP - containerPort: 443 name: https protocol: TCP - containerPort: 10081 name: peer protocol: TCP - containerPort: 10081 name: peer-u protocol: UDP readinessProbe: failureThreshold: 3 httpGet: path: / port: 80 scheme: HTTP initialDelaySeconds: 30 periodSeconds: 10 successThreshold: 1 timeoutSeconds: 1 resources: {} #dnsPolicy: ClusterFirst #restartPolicy: Always #serviceAccount: kuboard-boostrap #serviceAccountName: kuboard-boostrap #tolerations: # - key: node-role.kubernetes.io/master # operator: Exists --- apiVersion: v1 kind: Service metadata: annotations: {} labels: k8s.kuboard.cn/name: kuboard-v3 name: kuboard-v3 namespace: kuboard spec: ports: - name: web nodePort: 30080 port: 80 protocol: TCP targetPort: 80 - name: tcp nodePort: 30081 port: 10081 protocol: TCP targetPort: 10081 - name: udp nodePort: 30081 port: 10081 protocol: UDP targetPort: 10081 selector: k8s.kuboard.cn/name: kuboard-v3 sessionAffinity: None type: NodePort root@k8s-master01:~/kuboard#
应用部署清单
root@k8s-master01:~/kuboard# kubectl apply -f kuboard-all-in-one.yaml namespace/kuboard created deployment.apps/kuboard-v3 created service/kuboard-v3 created root@k8s-master01:~/kuboard# kubectl get pods -A NAMESPACE NAME READY STATUS RESTARTS AGE default test 1/1 Running 0 143m default test1 1/1 Running 0 143m default test2 1/1 Running 0 143m kube-system calico-kube-controllers-5456dd947c-pwl2n 1/1 Running 1 (118m ago) 149m kube-system calico-node-4zmb4 1/1 Running 0 132m kube-system calico-node-7lc66 1/1 Running 0 131m kube-system calico-node-bkhkd 1/1 Running 0 131m kube-system calico-node-mw49k 1/1 Running 0 131m kube-system calico-node-v726r 1/1 Running 0 132m kube-system calico-node-x9r7h 1/1 Running 0 131m kube-system coredns-77879dc67d-cfzfj 1/1 Running 0 112m kube-system coredns-77879dc67d-d7hgw 1/1 Running 0 112m kubernetes-dashboard dashboard-metrics-scraper-7f4bd79f5b-f9z74 1/1 Running 0 67m kubernetes-dashboard kubernetes-dashboard-6cd4d9dfb4-2kjbx 1/1 Running 0 51m kuboard kuboard-v3-689f5c8d6-fxxhx 1/1 Running 0 2m52s root@k8s-master01:~/kuboard# kubectl get svc -A NAMESPACE NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE default kubernetes ClusterIP 10.100.0.1443/TCP 163m kube-system kube-dns ClusterIP 10.100.0.2 53/UDP,53/TCP,9153/TCP 112m kubernetes-dashboard dashboard-metrics-scraper ClusterIP 10.100.143.187 8000/TCP 68m kubernetes-dashboard kubernetes-dashboard NodePort 10.100.90.240 443:30000/TCP 68m kuboard kuboard-v3 NodePort 10.100.224.132 80:30080/TCP,10081:30081/TCP,10081:30081/UDP 7m5s root@k8s-master01:~/kuboard#
访问kuboard
提示:默认用户名和密码是admin/Kuboard123
导入集群
添加集群的方式有两种,一种是agent,一种是kubeconfig;agent这种方式需要在k8s上额外运行一个pod来作为agent;
agent方式导入集群
提示:把上述命令在k8s集群上执行下就好;
kubeconfig方式导入集群
提示:需要将制作好的kubeconfig文件内容直接粘贴进来即可;
返回首页查看集群列表
提示:kuboard它可用管理多个集群;
选择使用集群的身份
查看集群概要信息
好了,第三方dashboard kuboard就部署好了,后面我们管理k8s集群就可用在kuboard上面点点;如果需要卸载kuboard ,只需要在k8s上将部署清单delete一下即可;kubectl delete -f kuboard-all-in-one.yaml;
部署第三方dashboard kubesphere
提前准备存储类相关部署清单
授权清单
root@k8s-master01:~/KubeSphere/1.nfs-stroageclass-cases# cat 1-rbac.yaml apiVersion: v1 kind: Namespace metadata: name: nfs --- apiVersion: v1 kind: ServiceAccount metadata: name: nfs-client-provisioner # replace with namespace where provisioner is deployed namespace: nfs --- 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: nfs 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: nfs 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: nfs subjects: - kind: ServiceAccount name: nfs-client-provisioner # replace with namespace where provisioner is deployed namespace: nfs roleRef: kind: Role name: leader-locking-nfs-client-provisioner apiGroup: rbac.authorization.k8s.io root@k8s-master01:~/KubeSphere/1.nfs-stroageclass-cases#
存储类清单
root@k8s-master01:~/KubeSphere/1.nfs-stroageclass-cases# cat 2-storageclass.yaml apiVersion: storage.k8s.io/v1 kind: StorageClass metadata: #name: managed-nfs-storage name: nfs-csi annotations: storageclass.kubernetes.io/is-default-class: "true" provisioner: k8s-sigs.io/nfs-subdir-external-provisioner # or choose another name, must match deployment's env PROVISIONER_NAME' reclaimPolicy: Retain #PV的删除策略,默认为delete,删除PV后立即删除NFS server的数据 mountOptions: #- vers=4.1 #containerd有部分参数异常 #- noresvport #告知NFS客户端在重新建立网络连接时,使用新的传输控制协议源端口 - noatime #访问文件时不更新文件inode中的时间戳,高并发环境可提高性能 parameters: #mountOptions: "vers=4.1,noresvport,noatime" archiveOnDelete: "true" #删除pod时保留pod数据,默认为false时为不保留数据 root@k8s-master01:~/KubeSphere/1.nfs-stroageclass-cases#
NFS提供者清单
root@k8s-master01:~/KubeSphere/1.nfs-stroageclass-cases# cat 3-nfs-provisioner.yaml apiVersion: apps/v1 kind: Deployment metadata: name: nfs-client-provisioner labels: app: nfs-client-provisioner # replace with namespace where provisioner is deployed namespace: nfs spec: replicas: 1 strategy: #部署策略 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: k8s.gcr.io/sig-storage/nfs-subdir-external-provisioner:v4.0.2 image: registry.cn-qingdao.aliyuncs.com/zhangshijie/nfs-subdir-external-provisioner:v4.0.2 volumeMounts: - name: nfs-client-root mountPath: /persistentvolumes env: - name: PROVISIONER_NAME value: k8s-sigs.io/nfs-subdir-external-provisioner - name: NFS_SERVER value: 192.168.0.42 - name: NFS_PATH value: /data/volumes volumes: - name: nfs-client-root nfs: server: 192.168.0.42 path: /data/volumes root@k8s-master01:~/KubeSphere/1.nfs-stroageclass-cases#
在NFS上准备数据目录
root@harbor:~# mkdir -p /data/volumes root@harbor:~# cat /etc/exports # /etc/exports: the access control list for filesystems which may be exported # to NFS clients. See exports(5). # # Example for NFSv2 and NFSv3: # /srv/homes hostname1(rw,sync,no_subtree_check) hostname2(ro,sync,no_subtree_check) # # Example for NFSv4: # /srv/nfs4 gss/krb5i(rw,sync,fsid=0,crossmnt,no_subtree_check) # /srv/nfs4/homes gss/krb5i(rw,sync,no_subtree_check) # /data/k8sdata/kuboard *(rw,no_root_squash) /data/volumes *(rw,no_root_squash) root@harbor:~# exportfs -av exportfs: /etc/exports [1]: Neither 'subtree_check' or 'no_subtree_check' specified for export "*:/data/k8sdata/kuboard". Assuming default behaviour ('no_subtree_check'). NOTE: this default has changed since nfs-utils version 1.0.x exportfs: /etc/exports [2]: Neither 'subtree_check' or 'no_subtree_check' specified for export "*:/data/volumes". Assuming default behaviour ('no_subtree_check'). NOTE: this default has changed since nfs-utils version 1.0.x exporting *:/data/volumes exporting *:/data/k8sdata/kuboard root@harbor:~#
应用上述授权、存储类、NFS提供者清单
root@k8s-master01:~/KubeSphere/1.nfs-stroageclass-cases# kubectl apply -f . namespace/nfs created serviceaccount/nfs-client-provisioner created clusterrole.rbac.authorization.k8s.io/nfs-client-provisioner-runner created clusterrolebinding.rbac.authorization.k8s.io/run-nfs-client-provisioner created role.rbac.authorization.k8s.io/leader-locking-nfs-client-provisioner created rolebinding.rbac.authorization.k8s.io/leader-locking-nfs-client-provisioner created storageclass.storage.k8s.io/nfs-csi created deployment.apps/nfs-client-provisioner created root@k8s-master01:~/KubeSphere/1.nfs-stroageclass-cases#
验证:查看对应pod是否正常运行?
验证存储类是否正常创建
编辑cluster-configuration.yaml,启用插件
启用logging
提示:除了在部署前修改cluster-configuration.yaml文件来启用各种插件,也可以在部署后使用admin用户登录控制台,在平台管理,选集权管理,定制资源定义,在搜索栏里输入clusterconfiguration,点击搜索结果查看详细页面;在自定义资源中,点击kk-installer右侧编辑YAML;
应用kubesphere-installer.yaml安装清单
root@k8s-master01:~/KubeSphere# kubectl apply -f kubesphere-installer.yaml customresourcedefinition.apiextensions.k8s.io/clusterconfigurations.installer.kubesphere.io created namespace/kubesphere-system created serviceaccount/ks-installer created clusterrole.rbac.authorization.k8s.io/ks-installer created clusterrolebinding.rbac.authorization.k8s.io/ks-installer created deployment.apps/ks-installer created root@k8s-master01:~/KubeSphere#
应用cluster-configuration.yaml集群配置清单
root@k8s-master01:~/KubeSphere# kubectl apply -f cluster-configuration.yaml clusterconfiguration.installer.kubesphere.io/ks-installer created root@k8s-master01:~/KubeSphere#
查看安装过程⽇志信息
root@k8s-master01:~/KubeSphere# kubectl logs -n kubesphere-system $(kubectl get pod -n kubesphere-system -l 'app in (ks-install, ks-installer)' -o jsonpath='{.items[0].metadata.name}') -f
验证:查看pods是否正常运行
root@k8s-deploy:~# kubectl get pods -A NAMESPACE NAME READY STATUS RESTARTS AGE default test 1/1 Running 1 (20m ago) 3h55m default test1 1/1 Running 1 (20m ago) 3h55m default test2 1/1 Running 1 (21m ago) 3h55m kube-system calico-kube-controllers-5456dd947c-pwl2n 1/1 Running 2 (21m ago) 4h kube-system calico-node-4zmb4 1/1 Running 0 3h44m kube-system calico-node-7lc66 1/1 Running 0 3h43m kube-system calico-node-bkhkd 1/1 Running 1 (20m ago) 3h43m kube-system calico-node-mw49k 1/1 Running 1 (21m ago) 3h43m kube-system calico-node-v726r 1/1 Running 0 3h44m kube-system calico-node-x9r7h 1/1 Running 1 (20m ago) 3h43m kube-system coredns-77879dc67d-cfzfj 1/1 Running 1 (20m ago) 3h24m kube-system coredns-77879dc67d-d7hgw 1/1 Running 1 (20m ago) 3h24m kube-system snapshot-controller-0 1/1 Running 1 (20m ago) 30m kubernetes-dashboard dashboard-metrics-scraper-7f4bd79f5b-f9z74 1/1 Running 1 (20m ago) 159m kubernetes-dashboard kubernetes-dashboard-6cd4d9dfb4-2kjbx 1/1 Running 1 (20m ago) 143m kubesphere-controls-system default-http-backend-864f4f5c6b-7tsv6 1/1 Running 0 15m kubesphere-controls-system kubectl-admin-c6988866d-zz566 1/1 Running 0 3m11s kubesphere-logging-system elasticsearch-logging-data-0 1/1 Running 0 29m kubesphere-logging-system elasticsearch-logging-data-1 1/1 Running 0 18m kubesphere-logging-system elasticsearch-logging-data-2 1/1 Running 0 18m kubesphere-logging-system elasticsearch-logging-discovery-0 1/1 Running 0 29m kubesphere-logging-system elasticsearch-logging-discovery-1 1/1 Running 0 20m kubesphere-logging-system elasticsearch-logging-discovery-2 1/1 Running 0 18m kubesphere-logging-system fluent-bit-2dbgl 1/1 Running 0 17m kubesphere-logging-system fluent-bit-86m78 1/1 Running 0 17m kubesphere-logging-system fluent-bit-98v2p 1/1 Running 0 17m kubesphere-logging-system fluent-bit-jrdqm 1/1 Running 0 17m kubesphere-logging-system fluent-bit-l68dm 1/1 Running 0 17m kubesphere-logging-system fluent-bit-mn68v 1/1 Running 0 17m kubesphere-logging-system fluentbit-operator-5548b5b599-hmbc4 1/1 Running 0 18m kubesphere-logging-system logsidecar-injector-deploy-7894888d74-crmx7 2/2 Running 0 11m kubesphere-logging-system logsidecar-injector-deploy-7894888d74-nd4tm 2/2 Running 0 11m kubesphere-monitoring-system kube-state-metrics-8c877c9db-z9x4j 3/3 Running 0 6m41s kubesphere-monitoring-system node-exporter-5tjml 2/2 Running 0 6m45s kubesphere-monitoring-system node-exporter-dj5th 2/2 Running 0 6m44s kubesphere-monitoring-system node-exporter-nxl4k 2/2 Running 0 6m44s kubesphere-monitoring-system node-exporter-phxxn 2/2 Running 0 6m44s kubesphere-monitoring-system node-exporter-qb6c8 2/2 Running 0 6m44s kubesphere-monitoring-system node-exporter-t8h9j 2/2 Running 0 6m44s kubesphere-monitoring-system prometheus-k8s-0 2/2 Running 0 6m28s kubesphere-monitoring-system prometheus-k8s-1 2/2 Running 0 6m28s kubesphere-monitoring-system prometheus-operator-845b8fb9df-tkhgn 2/2 Running 0 6m47s kubesphere-system ks-apiserver-5cd88dfbc5-5k85m 1/1 Running 0 15m kubesphere-system ks-apiserver-5cd88dfbc5-5mdnb 1/1 Running 0 15m kubesphere-system ks-apiserver-5cd88dfbc5-ckp76 1/1 Running 0 15m kubesphere-system ks-console-68769fccc6-2m978 1/1 Running 0 15m kubesphere-system ks-console-68769fccc6-2vlrx 1/1 Running 0 15m kubesphere-system ks-console-68769fccc6-9xc5s 1/1 Running 0 15m kubesphere-system ks-controller-manager-55fdd48f88-drrqf 1/1 Running 0 15m kubesphere-system ks-controller-manager-55fdd48f88-dzv59 1/1 Running 0 15m kubesphere-system ks-controller-manager-55fdd48f88-jnxff 1/1 Running 0 15m kubesphere-system ks-installer-fcf648dcb-mswk4 1/1 Running 1 (20m ago) 32m kubesphere-system redis-64bf76657c-5gkw8 1/1 Running 1 (21m ago) 29m kuboard kuboard-v3-689f5c8d6-fxxhx 1/1 Running 1 (20m ago) 94m nfs nfs-client-provisioner-7d84488bd5-d6988 1/1 Running 1 (21m ago) 47m root@k8s-deploy:~#
查看kubesphere 控制台服务端口
访问kubesphere 控制台
修改密码
ok,基于第三方dashboard kubesphere部署完毕;
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