Kubernetes 实战系列-1:环境安装
本文将带领大家在本地搭建一个 k8s 集群环境。
前置条件
-
Windows 电脑注意
关闭系统 Hyper-V 功能,否则可能导致后续 Kubernetes 启动失败:
进入【控制面板——程序——启用或关闭 Windows 功能——取消勾选 "Hyper-V"、"Windows 沙盒"、"Windows 虚拟机监控程序平台"、"虚拟机平台" 】,点击确定后等待卸载完成,然后重启电脑。
-
安装 VMWare
不要使用 VirtualBox,因为 VirtualBox 要配置双网卡才能访问外网,而我自己在本地实测双网卡会导致 iptables 转发流量有问题
-
安装虚拟机
CentOS-7 镜像:http://mirrors.aliyun.com/centos/7/isos/x86_64/CentOS-7-x86_64-DVD-2009.iso
配置网络
首先需要在 VMWare 配置网络模式为桥接模式:
接着,找到 VMWare 菜单栏的 编辑 - 虚拟网络编辑器 配置正确的桥接网卡:
然后,在 CentOS 中配置下网卡:
这里我的网卡名字为 ens33,具体可以通过 ip addr 命令查看
vi /etc/sysconfig/network-scripts/ifcfg-ens33
修改为静态分配 IP,并配置 IP 地址、子网掩码、网关和 DNS:
注意:子网掩码和网关需要根据自己的实际网络环境配置,具体自行查看主机网络环境。
TYPE="Ethernet"
PROXY_METHOD="none"
BROWSER_ONLY="no"
BOOTPROTO="static"
DEFROUTE="yes"
IPV4_FAILURE_FATAL="no"
IPV6INIT="yes"
IPV6_AUTOCONF="yes"
IPV6_DEFROUTE="yes"
IPV6_FAILURE_FATAL="no"
IPV6_ADDR_GEN_MODE="stable-privacy"
NAME="ens33"
UUID="31185fa5-58a1-4ac5-9ccb-6029876d9347"
DEVICE="ens33"
ONBOOT="yes"
IPADDR=192.168.10.101
NETMASK=255.255.255.0
GATEWAY=192.168.10.1
DNS1=119.29.29.29
最后,重启网络服务:
systemctl restart network
关闭防火墙
systemctl stop firewalld
systemctl disable firewalld
关闭 SeLinux
setenforce 0
sed -i 's/^SELINUX=enforcing$/SELINUX=permissive/' /etc/selinux/config
关闭 Swap
swapoff -a
sed -ri 's/.*swap.*/#&/' /etc/fstab
配置 yum 源
-
使用阿里云镜像源
curl -o /etc/yum.repos.d/CentOS-Base.repo http://mirrors.aliyun.com/repo/Centos-7.repo
-
建立缓存
yum clean all
yum makecache
安装基础软件包
yum install ‐y yum-utils device-mapper-persistent-data lvm2 wget net-tools ntp unzip ifconfig telnet nfs-utils rpcbind git
同步系统时间
ntpdate time1.aliyun.com
systemctl enable ntpd
配置 Host
这里配置为自己实际的 IP
cat >> /etc/hosts << EOF
192.168.10.101 master
192.168.10.102 node1
192.168.10.103 node2
EOF
配置桥接流量
cat > /etc/modules-load.d/k8s.conf << EOF
br_netfilter
EOF
modprobe br_netfilter
cat > /etc/sysctl.d/k8s.conf << EOF
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
EOF
sysctl --system
安装 Docker
-
设置阿里云 Docker 的 yum 源
yum-config-manager --add-repo http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo
-
设置阿里云 K8s 的 yum 源
cat > /etc/yum.repos.d/kubernetes.repo << EOF
[kubernetes]
name=Kubernetes
baseurl=https://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64/
enabled=1
gpgcheck=0
repo_gpgcheck=0
gpgkey=https://mirrors.aliyun.com/kubernetes/yum/doc/yum-key.gpg https://mirrors.aliyun.com/kubernetes/yum/doc/rpm-package-key.gpg
EOF
-
安装 Docker 19.03.11
yum install -y docker-ce-19.03.11
-
配置 Docker 镜像源
mkdir -p /etc/docker
cat > /etc/docker/daemon.json <<EOF
{
"exec-opts": ["native.cgroupdriver=systemd"],
"registry-mirrors": ["https://vjji27go.mirror.aliyuncs.com"],
"insecure-registries": ["art.local:8081", "192.168.10.101:8081"]
}
EOF
-
启动 Docker 并设置自启动
systemctl daemon-reload && systemctl enable docker --now
安装 K8s
-
安装 1.19.3 版本
yum install -y kubelet-1.19.3 kubeadm-1.19.3 kubectl-1.19.3
-
设置自启动 kubelet 并立即应用
systemctl enable kubelet --now
-
添加环境变量和别名
echo "export KUBECONFIG=/etc/kubernetes/admin.conf" >> ~/.bash_profile
echo "alias kc=\"kubectl\"" >> ~/.bash_profile
echo "alias kcsys=\"kubectl -n kube-system\"" >> ~/.bash_profile
source ~/.bash_profile
后续可以通过 kc 简写命令执行 kubectl,kcsys 表示 kubectl -n kube-system,自己也可以定义其他别名。
创建虚拟机 Snapshot
执行完以上所有步骤后,对当前虚拟机状态生成 snapshot,后续 worker 节点可以直接从此 snapshot 克隆,无需执行之前的繁琐操作。
初始化 Master 节点
设置主机名
hostnamectl set-hostname master
初始化主节点
注意只有主节点需要 init,worker node 只需要 join
将 192.168.10.101 修改为自己实际的 master 节点的 ip
kubeadm init --kubernetes-version=1.19.3 \
--apiserver-advertise-address=192.168.10.101 \
--image-repository registry.aliyuncs.com/google_containers \
--service-cidr=10.1.0.0/16 \
--pod-network-cidr=10.244.0.0/16
此时会等待镜像拉取,网络 5M 的情况下 1 分钟能完成。
注意:如果你用的是云环境,需要把 apiserver-advertise-address 改为云服务器的内网 IP 地址。
如果启动失败提示:kubelet 没有启动,则先启动 kubelet,接着执行 kubeadm reset,然后执行 kubeadm init。
-
初始化成功后,记录下 worker join 命令,后续会用到
-
接着执行以下命令
mkdir -p $HOME/.kube
sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
sudo chown $(id -u):$(id -g) $HOME/.kube/config
安装网络组件
curl https://docs.projectcalico.org/v3.20/manifests/calico.yaml -O
kubectl apply -f calico.yaml
配置 Worker 节点
设置主机名
hostnamectl set-hostname node1
Join 主节点
-
拷贝 master 节点的 admin.conf
在 master 节点上执行下面这行命令,然后输入 node 节点的密码
scp /etc/kubernetes/admin.conf root@node1:/etc/kubernetes/
-
join 主节点
如果之前未记录到 join 命令,则在 master 上执行这行命令:kubeadm token create --print-join-command
kubeadm join 192.168.10.101:6443 --token 0l852h.9pnn31g43sv0j3hu \
--discovery-token-ca-cert-hash sha256:54d6ff6fb2c6784b423f50a458ac5827ec18bd4914802f4d69a6674873db0781
安装 Kubernetes Dashboard
部署
参考:https://raw.githubusercontent.com/kubernetes/dashboard/v2.3.1/aio/deploy/recommended.yaml
cat > kubernetes-dashboard.yaml << EOF
# Copyright 2017 The Kubernetes Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
apiVersion: v1
kind: Namespace
metadata:
name: kubernetes-dashboard
---
apiVersion: v1
kind: ServiceAccount
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard
namespace: kubernetes-dashboard
---
kind: Service
apiVersion: v1
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard
namespace: kubernetes-dashboard
spec:
type: NodePort
ports:
- port: 443
targetPort: 8443
nodePort: 31111
selector:
k8s-app: kubernetes-dashboard
---
apiVersion: v1
kind: Secret
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard-certs
namespace: kubernetes-dashboard
type: Opaque
---
apiVersion: v1
kind: Secret
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard-csrf
namespace: kubernetes-dashboard
type: Opaque
data:
csrf: ""
---
apiVersion: v1
kind: Secret
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard-key-holder
namespace: kubernetes-dashboard
type: Opaque
---
kind: ConfigMap
apiVersion: v1
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard-settings
namespace: kubernetes-dashboard
---
kind: Role
apiVersion: rbac.authorization.k8s.io/v1
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard
namespace: kubernetes-dashboard
rules:
# Allow Dashboard to get, update and delete Dashboard exclusive secrets.
- apiGroups: [""]
resources: ["secrets"]
resourceNames: ["kubernetes-dashboard-key-holder", "kubernetes-dashboard-certs", "kubernetes-dashboard-csrf"]
verbs: ["get", "update", "delete"]
# Allow Dashboard to get and update 'kubernetes-dashboard-settings' config map.
- apiGroups: [""]
resources: ["configmaps"]
resourceNames: ["kubernetes-dashboard-settings"]
verbs: ["get", "update"]
# Allow Dashboard to get metrics.
- apiGroups: [""]
resources: ["services"]
resourceNames: ["heapster", "dashboard-metrics-scraper"]
verbs: ["proxy"]
- apiGroups: [""]
resources: ["services/proxy"]
resourceNames: ["heapster", "http:heapster:", "https:heapster:", "dashboard-metrics-scraper", "http:dashboard-metrics-scraper"]
verbs: ["get"]
---
kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard
rules:
# Allow Metrics Scraper to get metrics from the Metrics server
- apiGroups: ["metrics.k8s.io"]
resources: ["pods", "nodes"]
verbs: ["get", "list", "watch"]
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard
namespace: kubernetes-dashboard
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: Role
name: kubernetes-dashboard
subjects:
- kind: ServiceAccount
name: kubernetes-dashboard
namespace: kubernetes-dashboard
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
name: kubernetes-dashboard
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: kubernetes-dashboard
subjects:
- kind: ServiceAccount
name: kubernetes-dashboard
namespace: kubernetes-dashboard
---
kind: Deployment
apiVersion: apps/v1
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard
namespace: kubernetes-dashboard
spec:
replicas: 1
revisionHistoryLimit: 10
selector:
matchLabels:
k8s-app: kubernetes-dashboard
template:
metadata:
labels:
k8s-app: kubernetes-dashboard
spec:
containers:
- name: kubernetes-dashboard
image: kubernetesui/dashboard:v2.3.1
imagePullPolicy: Always
ports:
- containerPort: 8443
protocol: TCP
args:
- --token-ttl=86400
- --auto-generate-certificates
- --namespace=kubernetes-dashboard
# Uncomment the following line to manually specify Kubernetes API server Host
# If not specified, Dashboard will attempt to auto discover the API server and connect
# to it. Uncomment only if the default does not work.
# - --apiserver-host=http://my-address:port
volumeMounts:
- name: kubernetes-dashboard-certs
mountPath: /certs
# Create on-disk volume to store exec logs
- mountPath: /tmp
name: tmp-volume
livenessProbe:
httpGet:
scheme: HTTPS
path: /
port: 8443
initialDelaySeconds: 30
timeoutSeconds: 30
securityContext:
allowPrivilegeEscalation: false
readOnlyRootFilesystem: true
runAsUser: 1001
runAsGroup: 2001
volumes:
- name: kubernetes-dashboard-certs
secret:
secretName: kubernetes-dashboard-certs
- name: tmp-volume
emptyDir: {}
serviceAccountName: kubernetes-dashboard
nodeSelector:
"kubernetes.io/os": linux
# Comment the following tolerations if Dashboard must not be deployed on master
tolerations:
- key: node-role.kubernetes.io/master
effect: NoSchedule
---
kind: Service
apiVersion: v1
metadata:
labels:
k8s-app: dashboard-metrics-scraper
name: dashboard-metrics-scraper
namespace: kubernetes-dashboard
spec:
ports:
- port: 8000
targetPort: 8000
selector:
k8s-app: dashboard-metrics-scraper
---
kind: Deployment
apiVersion: apps/v1
metadata:
labels:
k8s-app: dashboard-metrics-scraper
name: dashboard-metrics-scraper
namespace: kubernetes-dashboard
spec:
replicas: 1
revisionHistoryLimit: 10
selector:
matchLabels:
k8s-app: dashboard-metrics-scraper
template:
metadata:
labels:
k8s-app: dashboard-metrics-scraper
annotations:
seccomp.security.alpha.kubernetes.io/pod: 'runtime/default'
spec:
containers:
- name: dashboard-metrics-scraper
image: kubernetesui/metrics-scraper:v1.0.6
ports:
- containerPort: 8000
protocol: TCP
livenessProbe:
httpGet:
scheme: HTTP
path: /
port: 8000
initialDelaySeconds: 30
timeoutSeconds: 30
volumeMounts:
- mountPath: /tmp
name: tmp-volume
securityContext:
allowPrivilegeEscalation: false
readOnlyRootFilesystem: true
runAsUser: 1001
runAsGroup: 2001
serviceAccountName: kubernetes-dashboard
nodeSelector:
"kubernetes.io/os": linux
# Comment the following tolerations if Dashboard must not be deployed on master
tolerations:
- key: node-role.kubernetes.io/master
effect: NoSchedule
volumes:
- name: tmp-volume
emptyDir: {}
EOF
kubectl apply -f kubernetes-dashboard.yaml
创建访问账号
cat > dashboard-account.yaml << EOF
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
EOF
kc apply -f dashboard-account.yaml
查看 Pod
[root@master ~]# kubectl get pod -n kubernetes-dashboard -o wide
NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES
dashboard-metrics-scraper-79c5968bdc-4ksm7 1/1 Running 0 28m 10.244.219.65 master <none> <none>
kubernetes-dashboard-658485d5c7-vzvgg 1/1 Running 0 28m 10.244.219.66 master <none> <none>
可以看到被分配到了哪个节点运行
令牌访问
获取访问令牌:
kubectl -n kubernetes-dashboard get secret $(kubectl -n kubernetes-dashboard get sa/admin-user -o jsonpath="{.secrets[0].name}") -o go-template="{{.data.token | base64decode}}"
访问地址:https://192.168.10.101:31111(这里要修改为实际运行的节点的 ip)
如果使用谷歌浏览器,会出现如下提示,点击页面然后键盘敲击:
thisisunsafe
登录成功后的页面:
创建第一个 Pod
VSCode 安装插件
在 VSCode 中安装 Microsoft 提供的官方 Kubernetes 插件
编写 YAML
在 VSCode 中创建一个 my-nginx.yaml 文件,然后使用 Pod 模板:
就能快速地帮我们生成一个模板文件:
完整配置文件如下:
apiVersion: v1
kind: Pod
metadata:
name: my-nginx
labels:
name: my-nginx
spec:
containers:
- name: my-nginx
image: nginx
resources:
limits:
memory: "128Mi"
cpu: "500m"
ports:
- containerPort: 80
运行 Pod
kubectl create -f my-nginx.yaml
查看 Pod
kubectl describe pod my-nginx
常见问题
如何重置 K8s
-
重置 kubeadm
kubeadm reset
-
清除 kubeconfig 环境变量
rm -rf $HOME/.kube
-
清理网络环境
systemctl stop kubelet && systemctl stop docker \
&& rm -rf /var/lib/cni/* && rm -rf /var/lib/kubelet/* && rm -rf /etc/cni/* \
&& ifconfig cni0 down \
&& ifconfig flannel.1 down \
&& ifconfig docker0 down \
&& ip link delete cni0 \
&& ip link delete flannel.1
-
重启服务
systemctl start docker && systemctl start kubelet
create 和 apply 的区别
-
create 是在 Kubernetes 中创建新资源,如果 yaml 文件中的内容已经在 Kubernetes 中创建过,那么再次执行 create 会报错
-
apply 是对已有对象进行修改,如果对象不存在则创建。大部分情况下可以用 apply 替代 create,但当有些对象的字段是 immutable 不可变类型的时候,如果你修改了这些字段,则必须先删除该对象,然后再用 create 命令创建。
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