[Kubernetes The Hard Way] Bootstrapping the Kubernetes Worker Nodes - Part 7
بِسْمِ اللَّهِ الرَّحْمَنِ الرَّحِيم
Bootstrapping the Kubernetes Worker Nodes (Kubernetes The Hardway)
Lanjutkeunn, Lab part 7 In this lab you will bootstrap three Kubernetes worker nodes. The following components will be installed on each node: runc, gVisor, container networking plugins, containerd, kubelet, and kube-proxy.
Prerequisites
The commands in this lab must be run on each controller instance: worker-0, worker-1, and worker-2
Running commands in parallel with tmux
tmux can be used to run commands on multiple compute instances at the same time. See the Running commands in parallel with tmux section in the Prerequisites lab.
Provisioning a Kubernetes Worker Node
Install the OS dependencies:
{
sudo apt-get update
sudo apt-get -y install socat conntrack ipset
}
The socat binary enables support for the
kubectl port-forward
command.
Download and Install Worker Binaries
wget -q --show-progress --https-only --timestamping \
https://github.com/kubernetes-sigs/cri-tools/releases/download/v1.12.0/crictl-v1.12.0-linux-amd64.tar.gz \
https://storage.googleapis.com/kubernetes-the-hard-way/runsc-50c283b9f56bb7200938d9e207355f05f79f0d17 \
https://github.com/opencontainers/runc/releases/download/v1.0.0-rc5/runc.amd64 \
https://github.com/containernetworking/plugins/releases/download/v0.6.0/cni-plugins-amd64-v0.6.0.tgz \
https://github.com/containerd/containerd/releases/download/v1.2.0-rc.0/containerd-1.2.0-rc.0.linux-amd64.tar.gz \
https://storage.googleapis.com/kubernetes-release/release/v1.12.0/bin/linux/amd64/kubectl \
https://storage.googleapis.com/kubernetes-release/release/v1.12.0/bin/linux/amd64/kube-proxy \
https://storage.googleapis.com/kubernetes-release/release/v1.12.0/bin/linux/amd64/kubelet
Create the installation directories:
Create the installation directories:
sudo mkdir -p \
/etc/cni/net.d \
/opt/cni/bin \
/var/lib/kubelet \
/var/lib/kube-proxy \
/var/lib/kubernetes \
/var/run/kubernetes
Install the worker binaries:
{
sudo mv runsc-50c283b9f56bb7200938d9e207355f05f79f0d17 runsc
sudo mv runc.amd64 runc
chmod +x kubectl kube-proxy kubelet runc runsc
sudo mv kubectl kube-proxy kubelet runc runsc /usr/local/bin/
sudo tar -xvf crictl-v1.12.0-linux-amd64.tar.gz -C /usr/local/bin/
sudo tar -xvf cni-plugins-amd64-v0.6.0.tgz -C /opt/cni/bin/
sudo tar -xvf containerd-1.2.0-rc.0.linux-amd64.tar.gz -C /
}
Configure CNI Networking
Retrieve the Pod CIDR range for the current compute instance:
Worker-0
POD_CIDR=10.200.0.0/24
Worker-1
POD_CIDR=10.200.1.0/24
Worker-2
POD_CIDR=10.200.2.0/24
Create the bridge
network configuration file:
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
Create the loopback
network configuration file:
cat <<EOF | sudo tee /etc/cni/net.d/99-loopback.conf
{
"cniVersion": "0.3.1",
"type": "loopback"
}
EOF
Configure containerd
Create the containerd
configuration file:
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 = ""
[plugins.cri.containerd.untrusted_workload_runtime]
runtime_type = "io.containerd.runtime.v1.linux"
runtime_engine = "/usr/local/bin/runsc"
runtime_root = "/run/containerd/runsc"
[plugins.cri.containerd.gvisor]
runtime_type = "io.containerd.runtime.v1.linux"
runtime_engine = "/usr/local/bin/runsc"
runtime_root = "/run/containerd/runsc"
EOF
Untrusted workloads will be run using the gVisor (runsc) runtime.
Create the containerd.service
systemd unit file:
cat <<EOF | sudo tee /etc/systemd/system/containerd.service
[Unit]
Description=containerd container runtime
Documentation=https://containerd.io
After=network.target
[Service]
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
Configure the Kubelet
{
sudo mv ${HOSTNAME}-key.pem ${HOSTNAME}.pem /var/lib/kubelet/
sudo mv ${HOSTNAME}.kubeconfig /var/lib/kubelet/kubeconfig
sudo mv ca.pem /var/lib/kubernetes/
}
Create the kubelet-config.yaml
configuration file:
cat <<EOF | sudo tee /var/lib/kubelet/kubelet-config.yaml
kind: KubeletConfiguration
apiVersion: kubelet.config.k8s.io/v1beta1
authentication:
anonymous:
enabled: false
webhook:
enabled: true
x509:
clientCAFile: "/var/lib/kubernetes/ca.pem"
authorization:
mode: Webhook
clusterDomain: "cluster.local"
clusterDNS:
- "10.32.0.10"
podCIDR: "${POD_CIDR}"
resolvConf: "/run/systemd/resolve/resolv.conf"
runtimeRequestTimeout: "15m"
tlsCertFile: "/var/lib/kubelet/${HOSTNAME}.pem"
tlsPrivateKeyFile: "/var/lib/kubelet/${HOSTNAME}-key.pem"
EOF
The resolvConf configuration is used to avoid loops when using CoreDNS for service discovery on systems running systemd-resolved.
Create the kubelet.service
systemd unit file:
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 \\
--fail-swap-on=false \\
--v=2
Restart=on-failure
RestartSec=5
[Install]
WantedBy=multi-user.target
EOF
Configure the Kubernetes Proxy
sudo mv kube-proxy.kubeconfig /var/lib/kube-proxy/kubeconfig
Create the kube-proxy-config.yaml
configuration file:
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
Create the kube-proxy.service
systemd unit file:
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
Start the Worker Services
{
sudo systemctl daemon-reload
sudo systemctl enable containerd kubelet kube-proxy
sudo systemctl start containerd kubelet kube-proxy
}
Remember to run the above commands on each worker node: worker-0, worker-1, and worker-2.
Configuring kubectl for Remote Access
Setup for interact Host machine to cluster
Go to HOST OS
mkdir ~/.kube
lxc file pull controller-0/root/admin.kubeconfig ~/.kube/config
nano ~/.kube/config
### ganti line Server: dengan IP Loadabalancer HAproxy
server: https://10.240.0.62:6443
###
Verification
The compute instances created in this tutorial will not have permission to complete this section. Run the following commands from the same machine used to create the compute instances.
List the registered Kubernetes nodes go to HOST OS:
kubectl get nodes -o wide
Output
NAME STATUS ROLES AGE VERSION INTERNAL-IP EXTERNAL-IP OS-IMAGE KERNEL-VERSION CONTAINER-RUNTIME worker-0 Ready <none> 6m44s v1.12.0 10.240.0.79 <none> Ubuntu 18.04.4 LTS 5.0.0-1036-azure containerd://1.2.0-rc.0 worker-1 Ready <none> 6m43s v1.12.0 10.240.0.245 <none> Ubuntu 18.04.4 LTS 5.0.0-1036-azure containerd://1.2.0-rc.0 worker-2 Ready <none> 6m43s v1.12.0 10.240.0.175 <none> Ubuntu 18.04.4 LTS 5.0.0-1036-azure containerd://1.2.0-rc.0
Lanjutnye: Provisioning Pod Network Routes - Part 8
Gaskunnnn
Referensi
- https://github.com/kelseyhightower/kubernetes-the-hard-way/tree/1.12.0
- Kubernetes The Hard Way Just me and Opensource
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