安装
Docker 基础配置
matlab
cat <<EOF | sudo tee /etc/docker/daemon.json
{
"registry-mirrors": ["https://uy35zvn6.mirror.aliyuncs.com"],
"exec-opts": ["native.cgroupdriver=systemd"],
"log-driver": "json-file",
"log-opts": {
"max-size": "100m"
},
"storage-driver": "overlay2"
}
EOF
sudo systemctl enable docker
sudo systemctl daemon-reload
sudo systemctl restart docker
k8s 的防火墙设置
bash
cat <<EOF | sudo tee /etc/modules-load.d/k8s.conf
br_netfilter
EOF
cat <<EOF | sudo tee /etc/sysctl.d/k8s.conf
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
net.ipv4.ip_forward=1 # better than modify /etc/sysctl.conf
EOF
sudo sysctl --system
证书工具
arduino
sudo apt-get update
sudo apt-get install -y apt-transport-https ca-certificates curl
sudo curl -s https://mirrors.aliyun.com/kubernetes/apt/doc/apt-key.gpg | sudo apt-key add -
添加 k8s 存储库(阿里云)
bash
sudo tee /etc/apt/sources.list.d/kubernetes.list <<-'EOF'
deb https://mirrors.aliyun.com/kubernetes/apt kubernetes-xenial main
EOF
安装 kubeadm kubectl kubelet:
sql
sudo apt-get update
sudo apt-get install -y kubelet=1.28.2-00 kubeadm=1.28.2-00 kubectl=1.28.2-00
sudo apt-mark hold kubelet kubeadm kubectl
将默认 CRI 改为 containerd
创建 containerd 配置目录:
arduino
sudo mkdir -p /etc/containerd
containerd config default | sudo tee /etc/containerd/config.toml
修改 /etc/containerd/config.toml
配置:
ini
k8s.gcr.io/pause:3.x
# 改为 >>>
registry.aliyuncs.com/google_containers/pause:3.9
SystemdCgroup = false
# 改为 >>>
SystemdCgroup = true
更新配置,直接禁用 docker,启用 containerd:
bash
systemctl daemon-reload
systemctl disable docker
systemctl stop docker
systemctl enable containerd
systemctl restart containerd
kubeadm 初始化集群,注意地址改成本机地址:
css
kubeadm init \
--image-repository registry.aliyuncs.com/google_containers \
--kubernetes-version v1.28.2 \
--pod-network-cidr=192.168.0.0/16 \
--apiserver-advertise-address=192.168.79.129
注意将输出文件存起来,会提示如下信息:
bash
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
Alternatively, if you are the root user, you can run:
export KUBECONFIG=/etc/kubernetes/admin.conf
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 192.168.79.129:6443 --token xxxxxx.xxxxxxxxxxxxxxxx \
--discovery-token-ca-cert-hash sha256:xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
所以,在当前用户,按照提示配置好 $HOME/.kube/config
,查看所有的 pod:
sql
kubectl get po --all-namespaces
可以正常看到 pod 就已经成功了:
sql
NAMESPACE NAME READY STATUS RESTARTS AGE
kube-system coredns-66f779496c-5mlvq 0/0 Pending 0 26m
kube-system coredns-66f779496c-hgpr5 0/0 Pending 0 26m
kube-system etcd-matebook-x-pro 1/1 Running 0 26m
kube-system kube-apiserver-matebook-x-pro 1/1 Running 0 26m
kube-system kube-controller-manager-matebook-x-pro 1/1 Running 0 26m
kube-system kube-proxy-6jclh 1/1 Running 0 26m
kube-system kube-scheduler-matebook-x-pro 1/1 Running 0 26m
去除 master 节点的 taints
执行这个去除 Master 的 taints,否则 pod 无法调度在 master 节点。
bash
kubectl taint nodes --all node-role.kubernetes.io/control-plane-
kubectl taint nodes --all node-role.kubernetes.io/master-
安装 Calico CNI 插件
参照官方文档:docs.tigera.io/calico/late...
bash
kubectl create -f https://raw.githubusercontent.com/projectcalico/calico/v3.26.4/manifests/tigera-operator.yaml
kubectl create -f https://raw.githubusercontent.com/projectcalico/calico/v3.26.4/manifests/custom-resources.yaml
时间稍为会有点长,完成之后稍等片刻,然后 kubelet get po --all-namespaces
看到如下结果:
sql
NAMESPACE NAME READY STATUS RESTARTS AGE
calico-apiserver calico-apiserver-5ffbc745df-95rvm 1/1 Running 0 3m22s
calico-apiserver calico-apiserver-5ffbc745df-f4g88 1/1 Running 0 3m22s
calico-system calico-kube-controllers-757d6c6d9d-9tnsk 1/1 Running 0 4m47s
calico-system calico-node-cp4b9 1/1 Running 0 4m47s
calico-system calico-typha-648459974b-zqr7z 1/1 Running 0 4m47s
calico-system csi-node-driver-f6qcp 2/2 Running 0 4m47s
kube-system coredns-66f779496c-pp6dc 1/1 Running 0 12m
kube-system coredns-66f779496c-rdc4m 1/1 Running 0 12m
kube-system etcd-matebook-x-pro 1/1 Running 4 12m
kube-system kube-apiserver-matebook-x-pro 1/1 Running 4 12m
kube-system kube-controller-manager-matebook-x-pro 1/1 Running 4 12m
kube-system kube-proxy-whwl6 1/1 Running 0 12m
kube-system kube-scheduler-matebook-x-pro 1/1 Running 4 12m
tigera-operator tigera-operator-7f8cd97876-vgvvl 1/1 Running 0 4m57s
检查状态 kubectl get cs
vbnet
Warning: v1 ComponentStatus is deprecated in v1.19+
NAME STATUS MESSAGE ERROR
scheduler Healthy ok
controller-manager Healthy ok
etcd-0 Healthy ok
尝试创建一个 nginx 实例
创建一个 deployment.yaml
:
yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx-deployment
spec:
selector:
matchLabels:
app: nginx
replicas: 2 # tells deployment to run 2 pods matching the template
template:
metadata:
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx:latest
ports:
- containerPort: 80
然后 kubectl create -f deployment.yaml
注意拉取镜像的过程是隐藏的,如果拉镜像不顺畅可能会卡住挺久的。如果是这种情况,可以用下面这种方式先拉镜像,可以看到进度:
arduino
ctr image pull docker.io/library/nginx:latest
成功的话 kubectl get po
可以看到下面的结果:
sql
NAME READY STATUS RESTARTS AGE
nginx-deployment-7c79c4bf97-8kjf6 1/1 Running 0 11s
nginx-deployment-7c79c4bf97-tl9mt 1/1 Running 0 11s
然后添加 service.yaml
,通过 nodePort 将 nginx 放出在本机 80 端口:
yaml
apiVersion: v1
kind: Service
metadata:
name: my-nginx
spec:
selector:
app: nginx
type: NodePort
ports:
- protocol: TCP
port: 80
sh
alfred@matebook-x-pro:~/kube/kubernetes$ k get service
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
kubernetes ClusterIP 10.96.0.1 <none> 443/TCP 48m
my-nginx NodePort 10.108.220.245 <none> 80:31153/TCP 4s
alfred@matebook-x-pro:~/kube/kubernetes$ k get deployment
NAME READY UP-TO-DATE AVAILABLE AGE
nginx-deployment 2/2 2 2 7m31s
alfred@matebook-x-pro:~/kube/kubernetes$ k get po
NAME READY STATUS RESTARTS AGE
nginx-deployment-7c79c4bf97-8kjf6 1/1 Running 0 7m34s
nginx-deployment-7c79c4bf97-tl9mt 1/1 Running 0 7m34s
然后打开 http://127.0.0.1:31153 或者 http://10.108.220.245 都可以看到网页已经可以正常访问了。