目录
一、环境准备
二、初始化工作
1. 设置root用户密码
2. 使用xshell连接三台主机
3. 设置主机名和修改hosts文件
4. 安装依赖软件以及关闭停用不需要使用的软件
5. 时间的同步与时区设置
6. 关闭swap分区
7. 在 kube-proxy 开启并使用 ipvs
8. 集群各主机节点内核Kernel参数的调整
三、安装docker和k8s
1. 各个节点安装docker
2. 下载 kubernetes 集群相关的软件包
四、初始化集群
1. 在主节点上初始化集群
2. 配置 kubectl
3. 安装Pod网络
4. 添加k8s-node1和k8s-node2
一、环境准备
Ubuntu镜像下载地址:Index of /ubuntu-releases/20.04/ | 清华大学开源软件镜像站 | Tsinghua Open Source Mirror
使用VMware安装三个节点,一个作为master主节点,如下:
注意每个节点内存不少于2G,CPU不少于2个,内存30GB以上
名字IPk8s-master192.168.65.145k8s-node1192.168.65.142k8s-node2192.168.65.141
本博客安装版本说明:
k8s版本:1.19.10
docker版本:19.03
二、初始化工作
1. 设置root用户密码
zy@ubuntu:~/Desktop$ sudo passwd root
[sudo] password for zy:
New password:
Retype new password:
passwd: password updated successfully
2. 使用xshell连接三台主机
3. 设置主机名和修改hosts文件
hostnamectl set-hostname k8s-master #master节点上执行
hostnamectl set-hostname k8s-node1 #ndoe1节点上执行
hostnamectl set-hostname k8s-node2 #node2节点上执行
在 /etc/hosts文件后面添加:
192.168.65.145 k8s-master
192.168.65.142 k8s-node1
192.168.65.141 k8s-node2
4. 安装依赖软件以及关闭停用不需要使用的软件
卸载系统中自带的 snapd 软件
systemctl stop snapd snapd.socket
apt autoremove --purge -y snapd
apt install -y linux-modules-extra-5.4.0-52-generic linux-headers-5.4.0-52
5. 时间的同步与时区设置
# 设置系统时区为中国/上海
cp /usr/share/zoneinfo/Asia/Shanghai /etc/localtime
timedatectl set-timezone Asia/Shanghai
bash -c "echo 'Asia/Shanghai' > /etc/timezone"
ntpdate ntp1.aliyun.com
# 将当前的 UTC 时间写入硬件时钟
timedatectl set-local-rtc 0
# 重启依赖于系统时间的服务
systemctl restart rsyslog.service cron.service
# 查看系统时间
date -R
6. 关闭swap分区
swapoff -a && sed -i 's/^\/swap.img\(.*\)$/#\/swap.img \1/g' /etc/fstab && free
swapoff -a && sed -i '/ swap / s/^\(.*\)$/#\1/g' /etc/fstab
7. 在 kube-proxy 开启并使用 ipvs
# (1) 安装 ipvs 以及 负载均衡相关依赖
apt -y install ipvsadm ipset sysstat conntrack
(2) ipvs 内核模块手动加载(所有节点配置)
mkdir ~/k8s-init/
tee ~/k8s-init/ipvs.modules <<'EOF'
#!/bin/bash
modprobe -- ip_vs
modprobe -- ip_vs_lc
modprobe -- ip_vs_lblc
modprobe -- ip_vs_lblcr
modprobe -- ip_vs_rr
modprobe -- ip_vs_wrr
modprobe -- ip_vs_sh
modprobe -- ip_vs_dh
modprobe -- ip_vs_fo
modprobe -- ip_vs_nq
modprobe -- ip_vs_sed
modprobe -- ip_vs_ftp
modprobe -- ip_vs_sh
modprobe -- ip_tables
modprobe -- ip_set
modprobe -- ipt_set
modprobe -- ipt_rpfilter
modprobe -- ipt_REJECT
modprobe -- ipip
modprobe -- xt_set
modprobe -- br_netfilter
modprobe -- nf_conntrack
EOF
# (3) 加载内核配置(临时|永久)注意管理员执行
chmod 755 ~/k8s-init/ipvs.modules && bash ~/k8s-init/ipvs.modules
sudo cp ~/k8s-init/ipvs.modules /etc/profile.d/ipvs.modules.sh
lsmod | grep -e ip_vs -e nf_conntrack
8. 集群各主机节点内核Kernel参数的调整
# 1.Kernel 参数调整
mkdir ~/k8s-init/
cat > ~/k8s-init/kubernetes-sysctl.conf < # iptables 网桥模式开启 net.bridge.bridge-nf-call-iptables=1 net.bridge.bridge-nf-call-ip6tables=1 # 禁用 ipv6 协议 net.ipv6.conf.all.disable_ipv6=1 # 启用ipv4转发 net.ipv4.ip_forward=1 # net.ipv4.tcp_tw_recycle=0 #Ubuntu 没有参数 # 禁止使用 swap 空间,只有当系统 OOM 时才允许使用它 vm.swappiness=0 # 不检查物理内存是否够用 vm.overcommit_memory=1 # 不启 OOM vm.panic_on_oom=0 # 文件系统通知数(根据内存大小和空间大小配置) fs.inotify.max_user_instances=8192 fs.inotify.max_user_watches=1048576 # 文件件打开句柄数 fs.file-max=52706963 fs.nr_open=52706963 net.netfilter.nf_conntrack_max=2310720 # tcp keepalive 相关参数配置 net.ipv4.tcp_keepalive_time = 600 net.ipv4.tcp_keepalive_probes = 3 net.ipv4.tcp_keepalive_intvl =15 net.ipv4.tcp_max_tw_buckets = 36000 net.ipv4.tcp_tw_reuse = 1 net.ipv4.tcp_max_orphans = 327680 net.ipv4.tcp_orphan_retries = 3 net.ipv4.tcp_syncookies = 1 net.ipv4.tcp_max_syn_backlog = 16384 # net.ipv4.ip_conntrack_max = 65536 # Ubuntu 没有参数 net.ipv4.tcp_timestamps = 0 net.core.somaxconn = 16384 EOF sudo cp ~/k8s-init/kubernetes-sysctl.conf /etc/sysctl.d/99-kubernetes.conf sudo sysctl -p /etc/sysctl.d/99-kubernetes.conf # 2.nftables 模式切换 # 在 Linux 中 nftables 当前可以作为内核 iptables 子系统的替代品,该工具可以充当兼容性层其行为类似于 iptables 但实际上是在配置 nftables。 $ apt list | grep "nftables/focal" # nftables/focal 0.9.3-2 amd64 # python3-nftables/focal 0.9.3-2 amd64 # iptables 旧模式切换 (nftables 后端与当前的 kubeadm 软件包不兼容, 它会导致重复防火墙规则并破坏 kube-proxy, 所则需要把 iptables 工具切换到“旧版”模式来避免这些问题) sudo update-alternatives --set iptables /usr/sbin/iptables-legacy sudo update-alternatives --set ip6tables /usr/sbin/ip6tables-legacy 三、安装docker和k8s 1. 各个节点安装docker # 1.更新apt包索引并安装包以允许apt在HTTPS上使用存储库 sudo apt-get install -y \ apt-transport-https \ ca-certificates \ curl \ gnupg-agent \ software-properties-common # 2.添加Docker官方GPG密钥 # -fsSL curl https://download.docker.com/linux/ubuntu/gpg | apt-key add - # 3.通过搜索指纹的最后8个字符进行密钥验证 sudo apt-key fingerprint 0EBFCD88 # 4.设置稳定存储库 sudo add-apt-repository \ "deb [arch=amd64] https://download.docker.com/linux/ubuntu \ $(lsb_release -cs) \ stable" # 5. 确保APT软件包索引已经更新 sudo apt update #6. 确认您要安装的Docker版本 root@ubuntu:~# apt-cache madison docker-ce docker-ce | 5:19.03.10~3-0~ubuntu-focal | https://download.docker.com/linux/ubuntu focal/stable amd64 Packages docker-ce | 5:19.03.9~3-0~ubuntu-focal | https://download.docker.com/linux/ubuntu focal/stable amd64 Packages #7. 安装19.03版本 apt-get install docker-ce=5:19.03.12~3-0~ubuntu-focal docker-ce-cli=5:19.03.12~3-0~ubuntu-focal containerd.io #8. 检查docker版本 root@ubuntu:/etc/apt# docker -v Docker version 19.03.12, build 48a66213fe #9.加速器建立 mkdir -vp /etc/docker/ sudo tee /etc/docker/daemon.json <<-'EOF' { "registry-mirrors": ["https://xlx9erfu.mirror.aliyuncs.com"], "exec-opts": ["native.cgroupdriver=systemd"], "log-driver": "json-file", "log-opts": { "max-size": "100m" }, "live-restore": true, "dns": ["192.168.12.254"], "insecure-registries": ["harbor.weiyigeek.com.cn"] } EOF # PS : 私有仓库配置 insecure_registries # 10.自启与启动 sudo systemctl enable --now docker sudo systemctl restart docker 2. 下载 kubernetes 集群相关的软件包 # (1) gpg 签名下载导入 curl https://mirrors.aliyun.com/kubernetes/apt/doc/apt-key.gpg | sudo apt-key add - # (2) Kubernetes 安装源 cat < deb https://mirrors.aliyun.com/kubernetes/apt/ kubernetes-xenial main EOF # (3) 软件包索引更新以及只下载依赖包不安装kubernetes(注意此处建议采用指定版本下载 ) apt-cache madison kubelet # 查看可用的 kubernetes 版本 sudo apt-get update && sudo apt -d install kubelet kubeadm kubectl # (4) 安装指定版本 apt -y install kubelet=1.19.10-00 kubeadm=1.19.10-00 kubectl=1.19.10-00 四、初始化集群 1. 在主节点上初始化集群 #apiserver-advertise-address 是master节点的地址 $ kubeadm init \ --apiserver-advertise-address=192.168.65.145 \ --image-repository registry.aliyuncs.com/google_containers \ --service-cidr=10.96.0.0/12 \ --pod-network-cidr=10.244.0.0/16 启动结果如下: root@ubuntu:~# kubeadm init \ > --apiserver-advertise-address=192.168.65.145 \ > --image-repository registry.aliyuncs.com/google_containers \ > --service-cidr=10.96.0.0/12 \ > --pod-network-cidr=10.244.0.0/16 I0315 18:23:08.757810 35378 version.go:255] remote version is much newer: v1.26.2; falling back to: stable-1.19 W0315 18:23:09.853694 35378 configset.go:348] WARNING: kubeadm cannot validate component configs for API groups [kubelet.config.k8s.io kubeproxy.config.k8s.io] [init] Using Kubernetes version: v1.19.16 [preflight] Running pre-flight checks [preflight] Pulling images required for setting up a Kubernetes cluster [preflight] This might take a minute or two, depending on the speed of your internet connection [preflight] You can also perform this action in beforehand using 'kubeadm config images pull' [certs] Using certificateDir folder "/etc/kubernetes/pki" [certs] Generating "ca" certificate and key [certs] Generating "apiserver" certificate and key [certs] apiserver serving cert is signed for DNS names [k8s-master kubernetes kubernetes.default kubernetes.default.svc kubernetes.default.svc.cluster.local] and IPs [10.96.0.1 192.168.65.145] [certs] Generating "apiserver-kubelet-client" certificate and key [certs] Generating "front-proxy-ca" certificate and key [certs] Generating "front-proxy-client" certificate and key [certs] Generating "etcd/ca" certificate and key [certs] Generating "etcd/server" certificate and key [certs] etcd/server serving cert is signed for DNS names [k8s-master localhost] and IPs [192.168.65.145 127.0.0.1 ::1] [certs] Generating "etcd/peer" certificate and key [certs] etcd/peer serving cert is signed for DNS names [k8s-master localhost] and IPs [192.168.65.145 127.0.0.1 ::1] [certs] Generating "etcd/healthcheck-client" certificate and key [certs] Generating "apiserver-etcd-client" certificate and key [certs] Generating "sa" key and public key [kubeconfig] Using kubeconfig folder "/etc/kubernetes" [kubeconfig] Writing "admin.conf" kubeconfig file [kubeconfig] Writing "kubelet.conf" kubeconfig file [kubeconfig] Writing "controller-manager.conf" kubeconfig file [kubeconfig] Writing "scheduler.conf" kubeconfig file [kubelet-start] Writing kubelet environment file with flags to file "/var/lib/kubelet/kubeadm-flags.env" [kubelet-start] Writing kubelet configuration to file "/var/lib/kubelet/config.yaml" [kubelet-start] Starting the kubelet [control-plane] Using manifest folder "/etc/kubernetes/manifests" [control-plane] Creating static Pod manifest for "kube-apiserver" [control-plane] Creating static Pod manifest for "kube-controller-manager" [control-plane] Creating static Pod manifest for "kube-scheduler" [etcd] Creating static Pod manifest for local etcd in "/etc/kubernetes/manifests" [wait-control-plane] Waiting for the kubelet to boot up the control plane as static Pods from directory "/etc/kubernetes/manifests". This can take up to 4m0s [kubelet-check] Initial timeout of 40s passed. [apiclient] All control plane components are healthy after 74.004910 seconds [upload-config] Storing the configuration used in ConfigMap "kubeadm-config" in the "kube-system" Namespace [kubelet] Creating a ConfigMap "kubelet-config-1.19" in namespace kube-system with the configuration for the kubelets in the cluster [upload-certs] Skipping phase. Please see --upload-certs [mark-control-plane] Marking the node k8s-master as control-plane by adding the label "node-role.kubernetes.io/master=''" [mark-control-plane] Marking the node k8s-master as control-plane by adding the taints [node-role.kubernetes.io/master:NoSchedule] [bootstrap-token] Using token: mj7yh1.kcsms343yksi1k8l [bootstrap-token] Configuring bootstrap tokens, cluster-info ConfigMap, RBAC Roles [bootstrap-token] configured RBAC rules to allow Node Bootstrap tokens to get nodes [bootstrap-token] configured RBAC rules to allow Node Bootstrap tokens to post CSRs in order for nodes to get long term certificate credentials [bootstrap-token] configured RBAC rules to allow the csrapprover controller automatically approve CSRs from a Node Bootstrap Token [bootstrap-token] configured RBAC rules to allow certificate rotation for all node client certificates in the cluster [bootstrap-token] Creating the "cluster-info" ConfigMap in the "kube-public" namespace [kubelet-finalize] Updating "/etc/kubernetes/kubelet.conf" to point to a rotatable kubelet client certificate and key [addons] Applied essential addon: CoreDNS [addons] Applied essential addon: kube-proxy Your Kubernetes control-plane has initialized successfully! To start using your cluster, you need to run the following as a regular user: mkdir -p $HOME/.kube sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config sudo chown $(id -u):$(id -g) $HOME/.kube/config You should now deploy a pod network to the cluster. Run "kubectl apply -f [podnetwork].yaml" with one of the options listed at: https://kubernetes.io/docs/concepts/cluster-administration/addons/ Then you can join any number of worker nodes by running the following on each as root: kubeadm join 192.168.65.145:6443 --token mj7yh1.kcsms343yksi1k8l \ --discovery-token-ca-cert-hash sha256:06d33735dffa06b7de28e7837297fb982354f1667cc7d250e2a3dfdc468256cb 2. 配置 kubectl 为用户zy配置kubectl: su zy mkdir -p $HOME/.kube sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config sudo chown $(id -u):$(id -g) $HOME/.kube/config 为了使用更便捷,启用kubectl命令的自动补全功能: 3. 安装Pod网络 root@k8s-master:~# kubectl apply -f https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml The connection to the server raw.githubusercontent.com was refused - did you specify the right host or port? 我这里提示拒绝连接,可以把yaml文件弄到本地来安装: 文件内容如下: --- kind: Namespace apiVersion: v1 metadata: name: kube-flannel labels: pod-security.kubernetes.io/enforce: privileged --- kind: ClusterRole apiVersion: rbac.authorization.k8s.io/v1 metadata: name: flannel rules: - apiGroups: - "" resources: - pods verbs: - get - apiGroups: - "" resources: - nodes verbs: - get - list - watch - apiGroups: - "" resources: - nodes/status verbs: - patch - apiGroups: - "networking.k8s.io" resources: - clustercidrs verbs: - list - watch --- kind: ClusterRoleBinding apiVersion: rbac.authorization.k8s.io/v1 metadata: name: flannel roleRef: apiGroup: rbac.authorization.k8s.io kind: ClusterRole name: flannel subjects: - kind: ServiceAccount name: flannel namespace: kube-flannel --- apiVersion: v1 kind: ServiceAccount metadata: name: flannel namespace: kube-flannel --- kind: ConfigMap apiVersion: v1 metadata: name: kube-flannel-cfg namespace: kube-flannel labels: tier: node app: flannel data: cni-conf.json: | { "name": "cbr0", "cniVersion": "0.3.1", "plugins": [ { "type": "flannel", "delegate": { "hairpinMode": true, "isDefaultGateway": true } }, { "type": "portmap", "capabilities": { "portMappings": true } } ] } net-conf.json: | { "Network": "10.244.0.0/16", "Backend": { "Type": "vxlan" } } --- apiVersion: apps/v1 kind: DaemonSet metadata: name: kube-flannel-ds namespace: kube-flannel labels: tier: node app: flannel spec: selector: matchLabels: app: flannel template: metadata: labels: tier: node app: flannel spec: affinity: nodeAffinity: requiredDuringSchedulingIgnoredDuringExecution: nodeSelectorTerms: - matchExpressions: - key: kubernetes.io/os operator: In values: - linux hostNetwork: true priorityClassName: system-node-critical tolerations: - operator: Exists effect: NoSchedule serviceAccountName: flannel initContainers: - name: install-cni-plugin image: docker.io/flannel/flannel-cni-plugin:v1.1.2 #image: docker.io/rancher/mirrored-flannelcni-flannel-cni-plugin:v1.1.2 command: - cp args: - -f - /flannel - /opt/cni/bin/flannel volumeMounts: - name: cni-plugin mountPath: /opt/cni/bin - name: install-cni image: docker.io/flannel/flannel:v0.21.3 #image: docker.io/rancher/mirrored-flannelcni-flannel:v0.21.3 command: - cp args: - -f - /etc/kube-flannel/cni-conf.json - /etc/cni/net.d/10-flannel.conflist volumeMounts: - name: cni mountPath: /etc/cni/net.d - name: flannel-cfg mountPath: /etc/kube-flannel/ containers: - name: kube-flannel image: docker.io/flannel/flannel:v0.21.3 #image: docker.io/rancher/mirrored-flannelcni-flannel:v0.21.3 command: - /opt/bin/flanneld args: - --ip-masq - --kube-subnet-mgr resources: requests: cpu: "100m" memory: "50Mi" securityContext: privileged: false capabilities: add: ["NET_ADMIN", "NET_RAW"] env: - name: POD_NAME valueFrom: fieldRef: fieldPath: metadata.name - name: POD_NAMESPACE valueFrom: fieldRef: fieldPath: metadata.namespace - name: EVENT_QUEUE_DEPTH value: "5000" volumeMounts: - name: run mountPath: /run/flannel - name: flannel-cfg mountPath: /etc/kube-flannel/ - name: xtables-lock mountPath: /run/xtables.lock volumes: - name: run hostPath: path: /run/flannel - name: cni-plugin hostPath: path: /opt/cni/bin - name: cni hostPath: path: /etc/cni/net.d - name: flannel-cfg configMap: name: kube-flannel-cfg - name: xtables-lock hostPath: path: /run/xtables.lock type: FileOrCreate 然后执行kubectl apply就可以了,如下: root@k8s-master:~# kubectl apply -f kube-flannel.yml namespace/kube-flannel created clusterrole.rbac.authorization.k8s.io/flannel created clusterrolebinding.rbac.authorization.k8s.io/flannel created serviceaccount/flannel created configmap/kube-flannel-cfg created daemonset.apps/kube-flannel-ds created 4. 添加k8s-node1和k8s-node2 在k8s-node1和k8s-node2上分别执行如下命令,将其注册到Cluster中: 这句话在初始化集群时会打印在终端,直接复制执行即可。 如果没有记录,可以通过 kubeadm token list 查看 kubeadm join 192.168.65.145:6443 --token mj7yh1.kcsms343yksi1k8l \ --discovery-token-ca-cert-hash sha256:06d33735dffa06b7de28e7837297fb982354f1667cc7d250e2a3dfdc468256cb 在master上查看节点状态: root@k8s-master:~# kubectl get nodes NAME STATUS ROLES AGE VERSION k8s-master Ready master 40m v1.19.10 k8s-node1 Ready k8s-node2 Ready 查看pod具体情况: root@k8s-master:~# kubectl get pod --all-namespaces NAMESPACE NAME READY STATUS RESTARTS AGE kube-flannel kube-flannel-ds-d9qtr 1/1 Running 0 3m35s kube-flannel kube-flannel-ds-jbhdr 1/1 Running 0 3m43s kube-flannel kube-flannel-ds-rpqg4 1/1 Running 0 7m8s kube-system coredns-6d56c8448f-fdgm2 1/1 Running 0 40m kube-system coredns-6d56c8448f-mkgx2 1/1 Running 0 40m kube-system etcd-k8s-master 1/1 Running 0 41m kube-system kube-apiserver-k8s-master 1/1 Running 0 41m kube-system kube-controller-manager-k8s-master 1/1 Running 0 41m kube-system kube-proxy-9rj9s 1/1 Running 0 3m43s kube-system kube-proxy-sm5kd 1/1 Running 0 40m kube-system kube-proxy-vgzgz 1/1 Running 0 3m35s kube-system kube-scheduler-k8s-master 1/1 Running 0 41m 此时,所有节点都已经准备好了,Kubernetes Cluster创建成功! 参考地址:Kubernetes入门之Ubuntu上安装部署k8s集群 推荐链接
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