In this lab you will bootstrap the Kubernetes control plane across two compute instances and configure it for high availability. You will also create an external load balancer that exposes the Kubernetes API Servers to remote clients. The following components will be installed on each node: Kubernetes API Server, Scheduler, and Controller Manager.
The commands in this lab must be run on each controller instance: controller-0
, controller-1
and controller-2
. Login to each controller instance using the az
command to find its public IP and ssh to it. Example:
CONTROLLER="controller-0"
PUBLIC_IP_ADDRESS=$(az network public-ip show -g kubernetes \
-n ${CONTROLLER}-pip --query "ipAddress" -otsv)
ssh kuberoot@${PUBLIC_IP_ADDRESS}
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.
Create the Kubernetes configuration directory:
sudo mkdir -p /etc/kubernetes/config
Download the official Kubernetes release binaries:
wget -q --show-progress --https-only --timestamping \
"https://storage.googleapis.com/kubernetes-release/release/v1.26.3/bin/linux/amd64/kube-apiserver" \
"https://storage.googleapis.com/kubernetes-release/release/v1.26.3/bin/linux/amd64/kube-controller-manager" \
"https://storage.googleapis.com/kubernetes-release/release/v1.26.3/bin/linux/amd64/kube-scheduler" \
"https://storage.googleapis.com/kubernetes-release/release/v1.26.3/bin/linux/amd64/kubectl"
Install the Kubernetes binaries:
{
chmod +x kube-apiserver kube-controller-manager kube-scheduler kubectl
sudo mv kube-apiserver kube-controller-manager kube-scheduler kubectl /usr/local/bin/
}
{
sudo mkdir -p /var/lib/kubernetes/
sudo mv ca.pem ca-key.pem kubernetes-key.pem kubernetes.pem \
service-account-key.pem service-account.pem \
encryption-config.yaml /var/lib/kubernetes/
}
The instance internal IP address will be used advertise the API Server to members of the cluster. Retrieve the internal IP address for the current compute instance:
INTERNAL_IP=$(ip addr show eth0 | grep -oP '(?<=inet\s)\d+(\.\d+){3}')
Create the kube-apiserver.service
systemd unit file:
cat <<EOF | sudo tee /etc/systemd/system/kube-apiserver.service
[Unit]
Description=Kubernetes API Server
Documentation=https://github.com/kubernetes/kubernetes
[Service]
ExecStart=/usr/local/bin/kube-apiserver \\
--advertise-address=${INTERNAL_IP} \\
--allow-privileged=true \\
--audit-log-maxage=30 \\
--audit-log-maxbackup=3 \\
--audit-log-maxsize=100 \\
--audit-log-path=/var/log/audit.log \\
--authorization-mode=Node,RBAC \\
--bind-address=0.0.0.0 \\
--client-ca-file=/var/lib/kubernetes/ca.pem \\
--enable-admission-plugins=NamespaceLifecycle,NodeRestriction,LimitRanger,ServiceAccount,DefaultStorageClass,ResourceQuota \\
--etcd-cafile=/var/lib/kubernetes/ca.pem \\
--etcd-certfile=/var/lib/kubernetes/kubernetes.pem \\
--etcd-keyfile=/var/lib/kubernetes/kubernetes-key.pem \\
--etcd-servers=https://10.240.0.10:2379,https://10.240.0.11:2379,https://10.240.0.12:2379 \\
--event-ttl=1h \\
--encryption-provider-config=/var/lib/kubernetes/encryption-config.yaml \\
--kubelet-certificate-authority=/var/lib/kubernetes/ca.pem \\
--kubelet-client-certificate=/var/lib/kubernetes/kubernetes.pem \\
--kubelet-client-key=/var/lib/kubernetes/kubernetes-key.pem \\
--runtime-config='api/all=true' \\
--service-account-key-file=/var/lib/kubernetes/service-account.pem \\
--service-account-signing-key-file=/var/lib/kubernetes/service-account-key.pem \\
--service-account-issuer=https://${PUBLIC_IP_ADDRESS}:6443 \\
--service-cluster-ip-range=10.32.0.0/24 \\
--service-node-port-range=30000-32767 \\
--tls-cert-file=/var/lib/kubernetes/kubernetes.pem \\
--tls-private-key-file=/var/lib/kubernetes/kubernetes-key.pem \\
--v=2
Restart=on-failure
RestartSec=5
[Install]
WantedBy=multi-user.target
EOF
Move the kube-controller-manager
kubeconfig into place:
sudo mv kube-controller-manager.kubeconfig /var/lib/kubernetes/
Create the kube-controller-manager.service
systemd unit file:
cat <<EOF | sudo tee /etc/systemd/system/kube-controller-manager.service
[Unit]
Description=Kubernetes Controller Manager
Documentation=https://github.com/kubernetes/kubernetes
[Service]
ExecStart=/usr/local/bin/kube-controller-manager \\
--bind-address=0.0.0.0 \\
--cluster-cidr=10.200.0.0/16 \\
--cluster-name=kubernetes \\
--cluster-signing-cert-file=/var/lib/kubernetes/ca.pem \\
--cluster-signing-key-file=/var/lib/kubernetes/ca-key.pem \\
--kubeconfig=/var/lib/kubernetes/kube-controller-manager.kubeconfig \\
--leader-elect=true \\
--root-ca-file=/var/lib/kubernetes/ca.pem \\
--service-account-private-key-file=/var/lib/kubernetes/service-account-key.pem \\
--service-cluster-ip-range=10.32.0.0/24 \\
--use-service-account-credentials=true \\
--v=2
Restart=on-failure
RestartSec=5
[Install]
WantedBy=multi-user.target
EOF
Move the kube-scheduler
kubeconfig into place:
sudo mv kube-scheduler.kubeconfig /var/lib/kubernetes/
Create the kube-scheduler.yaml
configuration file:
cat <<EOF | sudo tee /etc/kubernetes/config/kube-scheduler.yaml
apiVersion: kubescheduler.config.k8s.io/v1beta3
kind: KubeSchedulerConfiguration
clientConnection:
kubeconfig: "/var/lib/kubernetes/kube-scheduler.kubeconfig"
leaderElection:
leaderElect: true
EOF
Create the kube-scheduler.service
systemd unit file:
cat <<EOF | sudo tee /etc/systemd/system/kube-scheduler.service
[Unit]
Description=Kubernetes Scheduler
Documentation=https://github.com/kubernetes/kubernetes
[Service]
ExecStart=/usr/local/bin/kube-scheduler \\
--config=/etc/kubernetes/config/kube-scheduler.yaml \\
--v=2
Restart=on-failure
RestartSec=5
[Install]
WantedBy=multi-user.target
EOF
{
sudo systemctl daemon-reload
sudo systemctl enable kube-apiserver kube-controller-manager kube-scheduler
sudo systemctl start kube-apiserver kube-controller-manager kube-scheduler
}
Allow up to 10 seconds for the Kubernetes API Server to fully initialize.
kubectl get componentstatuses --kubeconfig admin.kubeconfig
NAME STATUS MESSAGE ERROR
scheduler Healthy ok
controller-manager Healthy ok
etcd-0 Healthy {"health":"true"}
etcd-1 Healthy {"health":"true"}
etcd-2 Healthy {"health":"true"}
Remember to run the above commands on each controller node:
controller-0
,controller-1
andcontroller-2
.
In this section you will configure RBAC permissions to allow the Kubernetes API Server to access the Kubelet API on each worker node. Access to the Kubelet API is required for retrieving metrics, logs, and executing commands in pods.
This tutorial sets the Kubelet
--authorization-mode
flag toWebhook
. Webhook mode uses the SubjectAccessReview API to determine authorization.
CONTROLLER="controller-0"
PUBLIC_IP_ADDRESS=$(az network public-ip show -g kubernetes \
-n ${CONTROLLER}-pip --query "ipAddress" -otsv)
ssh kuberoot@${PUBLIC_IP_ADDRESS}
Create the system:kube-apiserver-to-kubelet
ClusterRole with permissions to access the Kubelet API and perform most common tasks associated with managing pods:
cat <<EOF | kubectl apply --kubeconfig admin.kubeconfig -f -
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
annotations:
rbac.authorization.kubernetes.io/autoupdate: "true"
labels:
kubernetes.io/bootstrapping: rbac-defaults
name: system:kube-apiserver-to-kubelet
rules:
- apiGroups:
- ""
resources:
- nodes/proxy
- nodes/stats
- nodes/log
- nodes/spec
- nodes/metrics
verbs:
- "*"
EOF
The Kubernetes API Server authenticates to the Kubelet as the kubernetes
user using the client certificate as defined by the --kubelet-client-certificate
flag.
Bind the system:kube-apiserver-to-kubelet
ClusterRole to the kubernetes
user:
cat <<EOF | kubectl apply --kubeconfig admin.kubeconfig -f -
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
name: system:kube-apiserver
namespace: ""
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: system:kube-apiserver-to-kubelet
subjects:
- apiGroup: rbac.authorization.k8s.io
kind: User
name: kubernetes
EOF
In this section you will provision an external load balancer to front the Kubernetes API Servers. The kubernetes-the-hard-way
static IP address will be attached to the resulting load balancer.
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.
Create the load balancer health probe as a pre-requesite for the lb rule that follows.
az network lb probe create -g kubernetes \
--lb-name kubernetes-lb \
--name kubernetes-apiserver-probe \
--port 6443 \
--protocol tcp
Create the external load balancer network resources:
az network lb rule create -g kubernetes \
-n kubernetes-apiserver-rule \
--protocol tcp \
--lb-name kubernetes-lb \
--frontend-ip-name LoadBalancerFrontEnd \
--frontend-port 6443 \
--backend-pool-name kubernetes-lb-pool \
--backend-port 6443 \
--probe-name kubernetes-apiserver-probe
Retrieve the kubernetes-the-hard-way
static IP address:
KUBERNETES_PUBLIC_IP_ADDRESS=$(az network public-ip show -g kubernetes \
-n kubernetes-pip --query ipAddress -otsv)
Make a HTTP request for the Kubernetes version info:
curl --cacert ca.pem https://$KUBERNETES_PUBLIC_IP_ADDRESS:6443/version
output
{
"major": "1",
"minor": "26",
"gitVersion": "v1.26.3",
"gitCommit": "9e644106593f3f4aa98f8a84b23db5fa378900bd",
"gitTreeState": "clean",
"buildDate": "2023-03-15T13:33:12Z",
"goVersion": "go1.19.7",
"compiler": "gc",
"platform": "linux/amd64"
}