4.3 Kubernetes-The-Hard-Way - 部署计算节点
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2023-12-01
本部分将会部署三个 Kubernetes Worker 节点。每个节点上将会安装以下服务:
事前準备
以下命令需要在所有 worker 节点上面都运行一遍,包括 worker-0
, worker-1
和 worker-2
。可以使用 gcloud
命令登录到 worker 节点上,比如
gcloud compute ssh worker-0
部署 Kubernetes Worker 节点
安装 OS 依赖组件:
sudo apt-get -y install socat
socat 命令用于支持
kubectl port-forward
命令。
下载并安装 worker 二进制文件
wget -q --show-progress --https-only --timestamping
https://github.com/containernetworking/plugins/releases/download/v0.6.0/cni-plugins-amd64-v0.6.0.tgz
https://github.com/kubernetes-incubator/cri-containerd/releases/download/v1.0.0-beta.0/cri-containerd-1.0.0-beta.0.linux-amd64.tar.gz
https://storage.googleapis.com/kubernetes-release/release/v1.9.0/bin/linux/amd64/kubectl
https://storage.googleapis.com/kubernetes-release/release/v1.9.0/bin/linux/amd64/kube-proxy
https://storage.googleapis.com/kubernetes-release/release/v1.9.0/bin/linux/amd64/kubelet
创建安装目录:
sudo mkdir -p
/etc/cni/net.d
/opt/cni/bin
/var/lib/kubelet
/var/lib/kube-proxy
/var/lib/kubernetes
/var/run/kubernetes
安装 worker 二进制文件
sudo tar -xvf cni-plugins-amd64-v0.6.0.tgz -C /opt/cni/bin/
sudo tar -xvf cri-containerd-1.0.0-beta.0.linux-amd64.tar.gz -C /
chmod +x kubectl kube-proxy kubelet
sudo mv kubectl kube-proxy kubelet /usr/local/bin/
配置 CNI 网路
查询当前计算节点的 Pod CIDR 范围:
POD_CIDR=$(curl -s -H "Metadata-Flavor: Google"
http://metadata.google.internal/computeMetadata/v1/instance/attributes/pod-cidr)
生成 bridge
网络插件配置文件
cat > 10-bridge.conf <<EOF
{
"cniVersion": "0.3.1",
"name": "bridge",
"type": "bridge",
"bridge": "cnio0",
"isGateway": true,
"ipMasq": true,
"ipam": {
"type": "host-local",
"ranges": [
[{"subnet": "${POD_CIDR}"}]
],
"routes": [{"dst": "0.0.0.0/0"}]
}
}
EOF
生成 loopback
网络插件配置文件
cat > 99-loopback.conf <<EOF
{
"cniVersion": "0.3.1",
"type": "loopback"
}
EOF
将网络插件配置文件移动到 CNI 配置目录中:
sudo mv 10-bridge.conf 99-loopback.conf /etc/cni/net.d/
配置 Kubelet
sudo mv ${HOSTNAME}-key.pem ${HOSTNAME}.pem /var/lib/kubelet/
sudo mv ${HOSTNAME}.kubeconfig /var/lib/kubelet/kubeconfig
sudo mv ca.pem /var/lib/kubernetes/
生成 kubelet.service
systemd 配置文件:
cat > kubelet.service <<EOF
[Unit]
Description=Kubernetes Kubelet
Documentation=https://github.com/kubernetes/kubernetes
After=cri-containerd.service
Requires=cri-containerd.service
[Service]
ExecStart=/usr/local/bin/kubelet \
--allow-privileged=true \
--anonymous-auth=false \
--authorization-mode=Webhook \
--client-ca-file=/var/lib/kubernetes/ca.pem \
--cloud-provider= \
--cluster-dns=10.32.0.10 \
--cluster-domain=cluster.local \
--container-runtime=remote \
--container-runtime-endpoint=unix:///var/run/cri-containerd.sock \
--image-pull-progress-deadline=2m \
--kubeconfig=/var/lib/kubelet/kubeconfig \
--network-plugin=cni \
--pod-cidr=${POD_CIDR} \
--register-node=true \
--runtime-request-timeout=15m \
--tls-cert-file=/var/lib/kubelet/${HOSTNAME}.pem \
--tls-private-key-file=/var/lib/kubelet/${HOSTNAME}-key.pem \
--v=2
Restart=on-failure
RestartSec=5
[Install]
WantedBy=multi-user.target
EOF
配置 Kube-Proxy
sudo mv kube-proxy.kubeconfig /var/lib/kube-proxy/kubeconfig
生成 kube-proxy.service
systemd 配置文件:
cat > kube-proxy.service <<EOF
[Unit]
Description=Kubernetes Kube Proxy
Documentation=https://github.com/kubernetes/kubernetes
[Service]
ExecStart=/usr/local/bin/kube-proxy \
--cluster-cidr=10.200.0.0/16 \
--kubeconfig=/var/lib/kube-proxy/kubeconfig \
--proxy-mode=iptables \
--v=2
Restart=on-failure
RestartSec=5
[Install]
WantedBy=multi-user.target
EOF
启动 worker 服务
sudo mv kubelet.service kube-proxy.service /etc/systemd/system/
sudo systemctl daemon-reload
sudo systemctl enable containerd cri-containerd kubelet kube-proxy
sudo systemctl start containerd cri-containerd kubelet kube-proxy
记得在所有 worker 节点上面都运行一遍,包括
worker-0
,worker-1
和worker-2
。
验证
登入任意一台控制节点:
gcloud compute ssh controller-0
列出目前已注册的 Kubernetes 节点:
kubectl get nodes
输出为
NAME STATUS ROLES AGE VERSION
worker-0 Ready <none> 18s v1.9.0
worker-1 Ready <none> 18s v1.9.0
worker-2 Ready <none> 18s v1.9.0