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How to setup a highly-available Kubernetes cluster on Bare-Metal

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https://kubernetes.io/
https://kubernetes.io/
By ChaseDDevelopment
11 min read
How to setup a highly-available Kubernetes cluster on Bare-Metal

Setting up Kubernetes in a highly-available configuration

This is a guide to provision a Highly Available Kubernetes Cluster (K8s) on v1.21

This is my Personal Homelab Kubernetes Cluster, and I've taken around 40 Bookmarked webpages and condensed them into one guide.

This Kubernetes cluster uses a Multi-Master stacked topology. I struggled for a few days to find all the steps that would work for one installation on bare metal and had to take some pieces from several places to get this to work the way it does. This cluster will be using Calico as its Container Network Interface.

Please don’t hesitate to raise any issues with the guide, I’ll update it, and try to help where I can!

Installation Guide

1. Provision 9-13 Ubuntu Server 20.04.1 (At the time of writing) virtual machines with an admin user called “kube” (optional, just personal preference)

  • 2 Load Balancer Servers with minimum 4 cores, and 4GiB of RAM, 32 GiB Storage
  • 3 Control Plane Servers with minimum 4 cores, and 4GiB of RAM, 32 GiB Storage
  • 4 Worker Node Servers with minimum 4 cores, and 8GiB of RAM, 32GiB Storage
  • (Optional) 4 Storage Node Servers with minimum 4 cores, 8GiB of RAM, 100GiB Storage

These Values are just what works best in MY Homelab, and the resources I have available, you can modify them accordingly, just make sure they fall within Kubernetes minimum Requirements

The reason I say 9-13 Servers, is the extra 4 are Storage nodes. These nodes are set up with 100GiB each because I planned to use Longhorn as taught in TechnoTim’s Guides, so you can do this without the additional storage nodes, or use them as more worker nodes if you don’t plan on using storage nodes.

2. Setup an additional user on each Ubuntu Server with Sudo privileges (so that the machine can be managed by Ansible):

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 sudo adduser serveradmin

Followed by:

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sudo usermod -aG sudo serveradmin

3. Setup SSH Key based authentication, and copy the ID’s to each server

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ssh-keygen #Run this on your Local Development Machine

Followed by:

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ssh-copy-id {user}@{IP Address} # Do this for both kube & serveradmin

4. Install Ansible on your Local Machine:

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sudo apt update
sudo apt install ansible
sudo apt install sshpass # This is needed if you are using password-based authentication.

Ansible Galaxy Community General

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ansible-galaxy collection install community.general

Ansible Galaxy Gantsign.OhMyZsh

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ansible-galaxy install gantsign.oh-my-zsh

5. Provision the 13 Servers using Ansible using TechnoTim’s Ansible Files. The host file kuber has all my Kubernetes hosts. TechnoTim Ansible

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ansible-playbook ~/ansible/playbooks/apt.yml --user serveradmin --ask-become-pass -i ~/ansible/inventory/kuber
ansible-playbook ~/ansible/playbooks/apt-dist.yml --user serveradmin --ask-become-pass -i ~/ansible/inventory/kuber
ansible-playbook ~/ansible/playbooks/qemu-guest-agent.yml --user serveradmin --ask-become-pass -i ~/ansible/inventory/kuber
ansible-playbook ~/ansible/playbooks/timezone.yml --user serveradmin --ask-become-pass -i ~/ansible/inventory/kuber
ansible-playbook ~/ansible/playbooks/zsh.yml --user serveradmin --ask-become-pass -i ~/ansible/inventory/kuber
ansible-playbook ~/ansible/playbooks/oh-my-zsh.yml --user serveradmin --ask-become-pass -i ~/ansible/inventory/kuber # also do this for kube user if desired
ansible-playbook ~/ansible/playbooks/resize-lvm.yml --user serveradmin --ask-become-pass -i ~/ansible/inventory/kuber

This should provision all the Ubuntu Servers and have them prepped for a Kubernetes cluster installation

6. Install Kubectl on your local dev machine: Install Kubernetes Tools

7. Create the highly-available load-balancer with a virtual IP address for access to the Kubernetes API Server endpoint

  1. SSH into both load balancer nodes, and install keepalived and haproxy

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    sudo apt install keepalived haproxy

  2. Access keepalived config at /etc/keepalived/keepalived.conf on both nodes. The API server port by default is 6443 Please check the notes below for information on the values.

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    global_defs {
    router_id LVS_DEVEL
}
vrrp_script check_apiserver {
  script "/etc/keepalived/check_apiserver.sh"
  interval 3
  weight -2
  fall 10
  rise 2
}

vrrp_instance ${VI_#} {
    state ${STATE} # value: MASTER
    interface ${INTERFACE} # value: ens18
    virtual_router_id ${ROUTER_ID} #value: 51
    priority ${PRIORITY} # value: 101
    authentication {
        auth_type PASS
        auth_pass ${AUTH_PASS} # value: {RandomPassword}
    }
    virtual_ipaddress {
        ${APISERVER_VIP} # value: 192.168.x.x
    }
    track_script {
        check_apiserver
    }
}
    • ${VI_#} - This is the instance number. Change it on both load balancers. for simplicity, I made mine VI_1 on the “Master” and VI_2 on the “Backup”.
    • ${STATE} - This value Will be MASTER on the first load balancer and BACKUP on the second load balancer.
    • ${INTERFACE} - This is the physical network interface on the Ubuntu Server, change accordingly. Mine is ens18
    • ${ROUTER_ID} - This is a random value, just make sure the value on the “Master” load balancer is lower. e.g. 51 and 52 on the “Backup”.
    • ${PRIORITY} - This is a random value, just make the value on the “Master” load balancer is lower. e.g 101 and 200 on the “Backup”.
    • ${AUTH_PASS} - This is a random password, use any generator and avoid special characters. This will be the same on both load balancers.
    • ${APISERVER_VIP} - This is the virtual IP address that both load balancers will be sharing. Change it based on your local network and available addresses. Make sure this address is not within the DHCP server’s range.

  3. Add the script that keepalived uses at /etc/keepalived/check_apiserver.sh on both nodes. the APISERVER_VIP is the Virtual IP assigned to keepalived above and APISERVER_DEST_PORT is 6443. (Thats the default API Server port)

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    #!/bin/sh

errorExit() {
    echo "*** $*" 1>&2
    exit 1
}

curl --silent --max-time 2 --insecure https://localhost:${APISERVER_DEST_PORT}/ -o /dev/null || errorExit "Error GET https://localhost:${APISERVER_DEST_PORT}/"
if ip addr | grep -q ${APISERVER_VIP}; then
    curl --silent --max-time 2 --insecure https://${APISERVER_VIP}:${APISERVER_DEST_PORT}/ -o /dev/null || errorExit "Error GET https://${APISERVER_VIP}:${APISERVER_DEST_PORT}/"
fi

  4. Modify the HAProxy configuration file located at /etc/haproxy/haproxy.cfg on both nodes

        # /etc/haproxy/haproxy.cfg
    #---------------------------------------------------------------------
    # Global settings
    #---------------------------------------------------------------------
    global
        log /dev/log local0
        log /dev/log local1 notice
        daemon

    #---------------------------------------------------------------------
    # common defaults that all the 'listen' and 'backend' sections will
    # use if not designated in their block
    #---------------------------------------------------------------------
    defaults
        mode                    http
        log                     global
        option                  httplog
        option                  dontlognull
        option http-server-close
        option forwardfor       except 127.0.0.0/8
        option                  redispatch
        retries                 1
        timeout http-request    10s
        timeout queue           20s
        timeout connect         5s
        timeout client          20s
        timeout server          20s
        timeout http-keep-alive 10s
        timeout check           10s

    #---------------------------------------------------------------------
    # apiserver frontend which proxys to the masters
    #---------------------------------------------------------------------
    frontend apiserver
        bind *:${APISERVER_DEST_PORT}
        mode tcp
        option tcplog
        default_backend apiserver

    #---------------------------------------------------------------------
    # round robin balancing for apiserver
    #---------------------------------------------------------------------
    backend apiserver
        option httpchk GET /healthz
        http-check expect status 200
        mode tcp
        option ssl-hello-chk
        balance     roundrobin
            server ${HOST1_ID} ${HOST1_ADDRESS}:${APISERVER_SRC_PORT} check fall 3 rise 2 # for me ${HOST1_ID} is kube_control_plane1. Add all your control Planes here.
            server ${HOST2_ID} ${HOST2_ADDRESS}:${APISERVER_SRC_PORT} check fall 3 rise 2
            server ${HOST3_ID} ${HOST3_ADDRESS}:${APISERVER_SRC_PORT} check fall 3 rise 2
            # [...]
    • ${APISERVER_DEST_PORT} - By default the API Server’s port is 6443, so thats what I am using here.
    • ${HOST1_ID} - This is what the hostname is on the server, I called mine kube-control-plane1.
    • ${HOST1_ADDRESS} - This is the IP Address for the first control plane.
    • ${APISERVER_SRC_PORT} - This is the port for the API Server. (6443)

  5. Enable Haproxy & keepalived in systemd on both nodes

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    sudo systemctl enable haproxy.service
sudo systemctl enable keepalived.service

  6. Check to see if you can connect to the virtual IP address assigned by `keepalived if you get a connection refused that is fine because the Kubernetes api server is not yet running. But if you get a timeout error, then check your config.

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    nc -v {VirtualIP} {PORT}

  7. Prepare Each Node for Kubernetes Install

    1. Disable Firewall on all nodes

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      sudo ufw disable

    2. Disable Swap on all nodes

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      sudo swapoff -a; sudo sed -i '/swap/d' /etc/fstab

    3. Make sure IPTables can see bridged Traffic on all nodes

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      cat <<EOF | sudo tee /etc/modules-load.d/k8s.conf
br_netfilter
EOF

cat <<EOF | sudo tee /etc/sysctl.d/k8s.conf
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
EOF
sudo sysctl --system

    4. Install the Docker engine on all the nodes and mark the packages as “held back”.

      Docker Install

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      sudo apt-mark hold docker-ce docker-ce-cli

    5. Set Docker to use systemd as the control group driver.

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      sudo mkdir /etc/docker
cat <<EOF | sudo tee /etc/docker/daemon.json
{
  "exec-opts": ["native.cgroupdriver=systemd"],
  "log-driver": "json-file",
  "log-opts": {
    "max-size": "100m"
},
"storage-driver": "overlay2"
}
EOF

      Then Restart Docker and enable it on boot.

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      sudo systemctl enable docker
sudo systemctl daemon-reload
sudo systemctl restart docker

    6. Install Kubeadm, Kubelet, and kubectl

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      sudo apt-get update
sudo apt-get install -y apt-transport-https ca-certificates curl

sudo curl -fsSLo /usr/share/keyrings/kubernetes-archive-keyring.gpg https://packages.cloud.google.com/apt/doc/apt-key.gpg

echo "deb [signed-by=/usr/share/keyrings/kubernetes-archive-keyring.gpg] https://apt.kubernetes.io/ kubernetes-xenial main" | sudo tee /etc/apt/sources.list.d/kubernetes.list

sudo apt-get update
sudo apt-get install -y kubelet kubeadm kubectl
sudo apt-mark hold kubelet kubeadm kubectl

8. Initialize the first control plane on the cluster and copy the contents of the output to a text file for later use.

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sudo kubeadm init --control-plane-endpoint "${LOAD_BALANCER_VIP}:${LOAD_BALANCER_PORT}" --upload-certs --pod-network-cidr 192.168.0.0/16
  • ${LOAD_BALANCER_VIP} - This is the Virtual IP address of keepalived assigned above.
  • ${LOAD_BALANCER_PORT} - This is the API Server port assigned above (6443).
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Your Kubernetes control plane has initialized successfully!

To start using your cluster, you need to run the following as a regular user:

mkdir -p $HOME/.kube
sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
sudo chown $(id -u):$(id -g) $HOME/.kube/config

Alternatively, if you are the root user, you can run:

export KUBECONFIG=/etc/kubernetes/admin.conf

You should now deploy a pod network to the cluster.
Run "kubectl apply -f [podnetwork].yaml" with one of the options listed at:
https://kubernetes.io/docs/concepts/cluster-administration/addons/

You can now join any number of the control-plane nodes running the following command on each as root:

kubeadm join ${LOAD_BALANCER_IP}:${LOAD_BALANCER_PORT} --token <token> \
    --discovery-token-ca-cert-hash <discovery-token> \
    --control-plane --certificate-key <certificate key>

Please note that the certificate-key gives access to cluster-sensitive data, keep it secret!
As a safeguard, uploaded certs will be deleted in two hours; If necessary, you can use
  "kubeadm init phase upload-certs --upload-certs" to reload certs afterward.

Then you can join any number of worker nodes by running the following on each as root:

kubeadm join ${LOAD_BALANCER_IP}:${LOAD_BALANCER_PORT} --token <token> \
    --discovery-token-ca-cert-hash <discovery-token>

This is the output from the Kubeadm init command. Copy this to a text file for later use.

Do not Install your CNI to the cluster yet. I’ve tried this multiple times and it seems to not let the other nodes join the cluster. If it works for you, great. For me, I had to wait until the whole cluster was bootstrapped before applying the CNI. (Shown in a later step)

9. Using the first three lines copy the clusters new ~/.kube/config to the first control plane’s home directory for access

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mkdir -p $HOME/.kube
sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
sudo chown $(id -u):$(id -g) $HOME/.kube/config

10. Join the other two control planes with the first kubeadm command provided from the output. You will need to add sudo to these commands, it doesn’t work without it.

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sudo kubeadm join ${LOAD_BALANCER_IP}:${LOAD_BALANCER_PORT} --token <token> \
  --discovery-token-ca-cert-hash <discovery-token> \
  --control-plane --certificate-key <certificate key>

11. Join the worker nodes and storage nodes with the second kubeadm command provided by the output. You will need to add sudo to these commands, it doesn’t work without it.

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kubeadm join ${LOAD_BALANCER_IP}:${LOAD_BALANCER_PORT} --token <token> \
  --discovery-token-ca-cert-hash <discovery-token>

12. Apply the CNI (Container Network Interface) for your cluster.

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kubectl apply -f https://docs.projectcalico.org/manifests/calico.yaml

13. Copy your kube config to your local machine from the original control plane.

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sudo cat ~/.kube/config
  1. You should now have a fully working Kubernetes cluster, things to consider are downloading metallb, rancher, and longhorn to make your cluster a little more user-friendly. These Guides can be found from TechnoTim

15. If you are going to install Rancher on this cluster, I noticed that the schedular and controller manager said “unhealthy”. They seem to work as normal, but a fix for this is as follows:

1.

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sudo nano /etc/kubernetes/manifest/kube-scheduler.yaml

and clear the line (spec->containers->command) containing this phrase: - --port=0

2.

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sudo nano /etc/kubernetes/manifest/kube-controller.yaml

and clear the line (spec->containers->command) containing this phrase: - --port=0

3.

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sudo systemctl restart kubelet.service

Do this on all THREE Control Planes, and it should resolve the issue.

Homelab, Kubernetes
servers ubuntu linux kubernetes high-availability ha docker
This post is licensed under CC BY 4.0 by the author.