部署计算节点
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:runc, gVisor, container networking plugins, containerd, kubelet, 和 kube-proxy。
事前准备
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
可以使用 tmux 同时登录到三个 Worker 节点上,加快部署步骤。
部署 Kubernetes Worker 节点
安装 OS 依赖组件:
sudo apt-get update
sudo apt-get -y install socat conntrack ipset
socat 命令用于支持
kubectl port-forward
命令。
禁止 Swap
sudo swapoff -a
下载并安装 worker 二进制文件
wget -q --show-progress --https-only --timestamping \
https://github.com/kubernetes-sigs/cri-tools/releases/download/v1.18.0/crictl-v1.18.0-linux-amd64.tar.gz \
https://github.com/opencontainers/runc/releases/download/v1.0.0-rc91/runc.amd64 \
https://github.com/containernetworking/plugins/releases/download/v0.8.6/cni-plugins-linux-amd64-v0.8.6.tgz \
https://github.com/containerd/containerd/releases/download/v1.3.6/containerd-1.3.6-linux-amd64.tar.gz \
https://storage.googleapis.com/kubernetes-release/release/v1.18.6/bin/linux/amd64/kubectl \
https://storage.googleapis.com/kubernetes-release/release/v1.18.6/bin/linux/amd64/kube-proxy \
https://storage.googleapis.com/kubernetes-release/release/v1.18.6/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
{
mkdir containerd
tar -xvf crictl-v1.18.0-linux-amd64.tar.gz
tar -xvf containerd-1.3.6-linux-amd64.tar.gz -C containerd
sudo tar -xvf cni-plugins-linux-amd64-v0.8.6.tgz -C /opt/cni/bin/
sudo mv runc.amd64 runc
chmod +x crictl kubectl kube-proxy kubelet runc
sudo mv crictl kubectl kube-proxy kubelet runc /usr/local/bin/
sudo mv containerd/bin/* /bin/
}
配置 CNI 网路
查询当前计算节点的 Pod CIDR 范围:
POD_CIDR=$(curl -s -H "Metadata-Flavor: Google" \
http://metadata.google.internal/computeMetadata/v1/instance/attributes/pod-cidr)
生成 bridge
网络插件配置文件
cat <<EOF | sudo tee /etc/cni/net.d/10-bridge.conf
{
"cniVersion": "0.3.1",
"name": "bridge",
"type": "bridge",
"bridge": "cnio0",
"isGateway": true,
"ipMasq": true,
"ipam": {
"type": "host-local",
"ranges": [
[{"subnet": "${POD_CIDR}"}]
],
"routes": [{"dst": "0.0.0.0/0"}]
}
}
EOF
生成 loopback
网络插件配置文件
cat <<EOF | sudo tee /etc/cni/net.d/99-loopback.conf
{
"cniVersion": "0.3.1",
"name": "lo",
"type": "loopback"
}
EOF
配置 containerd
sudo mkdir -p /etc/containerd/
cat << EOF | sudo tee /etc/containerd/config.toml
[plugins]
[plugins.cri.containerd]
snapshotter = "overlayfs"
[plugins.cri.containerd.default_runtime]
runtime_type = "io.containerd.runtime.v1.linux"
runtime_engine = "/usr/local/bin/runc"
runtime_root = ""
EOF
cat <<EOF | sudo tee /etc/systemd/system/containerd.service
[Unit]
Description=containerd container runtime
Documentation=https://containerd.io
After=network.target
[Service]
ExecStartPre=/sbin/modprobe overlay
ExecStart=/bin/containerd
Restart=always
RestartSec=5
Delegate=yes
KillMode=process
OOMScoreAdjust=-999
LimitNOFILE=1048576
LimitNPROC=infinity
LimitCORE=infinity
[Install]
WantedBy=multi-user.target
EOF
配置 Kubelet
{
sudo mv ${HOSTNAME}-key.pem ${HOSTNAME}.pem /var/lib/kubelet/
sudo mv ${HOSTNAME}.kubeconfig /var/lib/kubelet/kubeconfig
sudo mv ca.pem /var/lib/kubernetes/
}
生成 kubelet.service
systemd 配置文件:
# The resolvConf configuration is used to avoid loops when using CoreDNS for service discovery on systems running systemd-resolved.
cat <<EOF | sudo tee /var/lib/kubelet/kubelet-config.yaml
kind: KubeletConfiguration
apiVersion: kubelet.config.k8s.io/v1beta1
authentication:
anonymous:
enabled: false
webhook:
enabled: true
x509:
clientCAFile: "/var/lib/kubernetes/ca.pem"
authorization:
mode: Webhook
clusterDomain: "cluster.local"
clusterDNS:
- "10.32.0.10"
podCIDR: "${POD_CIDR}"
resolvConf: "/run/systemd/resolve/resolv.conf"
runtimeRequestTimeout: "15m"
tlsCertFile: "/var/lib/kubelet/${HOSTNAME}.pem"
tlsPrivateKeyFile: "/var/lib/kubelet/${HOSTNAME}-key.pem"
EOF
cat <<EOF | sudo tee /etc/systemd/system/kubelet.service
[Unit]
Description=Kubernetes Kubelet
Documentation=https://github.com/kubernetes/kubernetes
After=containerd.service
Requires=containerd.service
[Service]
ExecStart=/usr/local/bin/kubelet \\
--config=/var/lib/kubelet/kubelet-config.yaml \\
--container-runtime=remote \\
--container-runtime-endpoint=unix:///var/run/containerd/containerd.sock \\
--image-pull-progress-deadline=2m \\
--kubeconfig=/var/lib/kubelet/kubeconfig \\
--network-plugin=cni \\
--register-node=true \\
--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 <<EOF | sudo tee /var/lib/kube-proxy/kube-proxy-config.yaml
kind: KubeProxyConfiguration
apiVersion: kubeproxy.config.k8s.io/v1alpha1
clientConnection:
kubeconfig: "/var/lib/kube-proxy/kubeconfig"
mode: "iptables"
clusterCIDR: "10.200.0.0/16"
EOF
cat <<EOF | sudo tee /etc/systemd/system/kube-proxy.service
[Unit]
Description=Kubernetes Kube Proxy
Documentation=https://github.com/kubernetes/kubernetes
[Service]
ExecStart=/usr/local/bin/kube-proxy \\
--config=/var/lib/kube-proxy/kube-proxy-config.yaml
Restart=on-failure
RestartSec=5
[Install]
WantedBy=multi-user.target
EOF
启动 worker 服务
sudo systemctl daemon-reload
sudo systemctl enable containerd kubelet kube-proxy
sudo systemctl start 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查询 Nodes 列表
gcloud compute ssh controller-0 \
--command "kubectl get nodes --kubeconfig admin.kubeconfig"
输出为
NAME STATUS ROLES AGE VERSION
worker-0 Ready <none> 24s v1.18.6
worker-1 Ready <none> 24s v1.18.6
worker-2 Ready <none> 24s v1.18.6
下一步:配置 Kubectl。
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