In this lab you will bootstrap the Kubernetes control plane across three 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 gcloud
command. Example:
gcloud compute ssh controller-0
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/v1.21.0/bin/linux/amd64/kube-apiserver" \
"https://storage.googleapis.com/kubernetes-release/release/v1.21.0/bin/linux/amd64/kube-controller-manager" \
"https://storage.googleapis.com/kubernetes-release/release/v1.21.0/bin/linux/amd64/kube-scheduler" \
"https://storage.googleapis.com/kubernetes-release/release/v1.21.0/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 to advertise the API Server to members of the cluster. Retrieve the internal IP address for the current compute instance:
INTERNAL_IP=$(curl -s -H "Metadata-Flavor: Google" \
http://metadata.google.internal/computeMetadata/v1/instance/network-interfaces/0/ip)
REGION=$(curl -s -H "Metadata-Flavor: Google" \
http://metadata.google.internal/computeMetadata/v1/project/attributes/google-compute-default-region)
KUBERNETES_PUBLIC_ADDRESS=$(gcloud compute addresses describe kubernetes-the-hard-way \
--region $REGION \
--format 'value(address)')
Create the kube-apiserver.service
systemd unit file:
cat <<EOF | sudo tee /etc/systemd/system/kube-apiserver.service
[Unit]
Description=Kubernetes API Server
Documentation=https://github.com/kubernetes/kubernetes
[Service]
ExecStart=/usr/local/bin/kube-apiserver \\
--advertise-address=${INTERNAL_IP} \\
--allow-privileged=true \\
--apiserver-count=3 \\
--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://${KUBERNETES_PUBLIC_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/v1beta1
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.
A Google Network Load Balancer will be used to distribute traffic across the three API servers and allow each API server to terminate TLS connections and validate client certificates. The network load balancer only supports HTTP health checks which means the HTTPS endpoint exposed by the API server cannot be used. As a workaround the nginx webserver can be used to proxy HTTP health checks. In this section nginx will be installed and configured to accept HTTP health checks on port 80
and proxy the connections to the API server on https://127.0.0.1:6443/healthz
.
The
/healthz
API server endpoint does not require authentication by default.
Install a basic web server to handle HTTP health checks:
sudo apt-get update
sudo apt-get install -y nginx
cat > kubernetes.default.svc.cluster.local <<EOF
server {
listen 80;
server_name kubernetes.default.svc.cluster.local;
location /healthz {
proxy_pass https://127.0.0.1:6443/healthz;
proxy_ssl_trusted_certificate /var/lib/kubernetes/ca.pem;
}
}
EOF
{
sudo mv kubernetes.default.svc.cluster.local \
/etc/nginx/sites-available/kubernetes.default.svc.cluster.local
sudo ln -s /etc/nginx/sites-available/kubernetes.default.svc.cluster.local /etc/nginx/sites-enabled/
}
sudo systemctl restart nginx
sudo systemctl enable nginx
kubectl cluster-info --kubeconfig admin.kubeconfig
Kubernetes control plane is running at https://127.0.0.1:6443
Test the nginx HTTP health check proxy:
curl -H "Host: kubernetes.default.svc.cluster.local" -i http://127.0.0.1/healthz
HTTP/1.1 200 OK
Server: nginx/1.18.0 (Ubuntu)
Date: Sun, 02 May 2021 04:19:29 GMT
Content-Type: text/plain; charset=utf-8
Content-Length: 2
Connection: keep-alive
Cache-Control: no-cache, private
X-Content-Type-Options: nosniff
X-Kubernetes-Pf-Flowschema-Uid: c43f32eb-e038-457f-9474-571d43e5c325
X-Kubernetes-Pf-Prioritylevel-Uid: 8ba5908f-5569-4330-80fd-c643e7512366
ok
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.
The commands in this section will effect the entire cluster and only need to be run once from one of the controller nodes.
gcloud compute ssh controller-0
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 external load balancer network resources:
{
KUBERNETES_PUBLIC_ADDRESS=$(gcloud compute addresses describe kubernetes-the-hard-way \
--region $(gcloud config get-value compute/region) \
--format 'value(address)')
gcloud compute http-health-checks create kubernetes \
--description "Kubernetes Health Check" \
--host "kubernetes.default.svc.cluster.local" \
--request-path "/healthz"
gcloud compute firewall-rules create kubernetes-the-hard-way-allow-health-check \
--network kubernetes-the-hard-way \
--source-ranges 209.85.152.0/22,209.85.204.0/22,35.191.0.0/16 \
--allow tcp
gcloud compute target-pools create kubernetes-target-pool \
--http-health-check kubernetes
gcloud compute target-pools add-instances kubernetes-target-pool \
--instances controller-0,controller-1,controller-2
gcloud compute forwarding-rules create kubernetes-forwarding-rule \
--address ${KUBERNETES_PUBLIC_ADDRESS} \
--ports 6443 \
--region $(gcloud config get-value compute/region) \
--target-pool kubernetes-target-pool
}
The compute instances created in this tutorial will not have permission to complete this section. Run the following commands from the same machine used to create the compute instances.
Retrieve the kubernetes-the-hard-way
static IP address:
KUBERNETES_PUBLIC_ADDRESS=$(gcloud compute addresses describe kubernetes-the-hard-way \
--region $(gcloud config get-value compute/region) \
--format 'value(address)')
Make a HTTP request for the Kubernetes version info:
curl --cacert ca.pem https://${KUBERNETES_PUBLIC_ADDRESS}:6443/version
output
{
"major": "1",
"minor": "21",
"gitVersion": "v1.21.0",
"gitCommit": "cb303e613a121a29364f75cc67d3d580833a7479",
"gitTreeState": "clean",
"buildDate": "2021-04-08T16:25:06Z",
"goVersion": "go1.16.1",
"compiler": "gc",
"platform": "linux/amd64"
}