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In this guide, as the title suggests, we shall be focusing on setting up a highly available Kubernetes cluster with HAProxy and Keepalived ensure that all services continue as usual in case any of the master nodes have technical difficulties. We shall be leveraging on the power of Kubespray to make our work as simple as possible.

As for the architecture, the figure below the installation pre-requisites section makes it all clear for you. We shall install HAProxy and Keepalived on the three master nodes to co-exist with etd and api-server. Moreover, in this setup, we are going to use containerd as the container runtime in place of docker.

With this, you will continue building your images using docker and Kubernetes will pull and run them using containerd.

Installation pre-requisites

In order for this deployment to start and succeed, we are going to need an extra server or computer that will be used as the installation server. This machine will contain Kubespray files and will connect to your servers where kubernetes will be installed and proceed to setup kubernetes in them. The deployment architecture is simplified by the diagram below with three masters, three etcd and two worker nodes.

  • prod-master1
  • prod-master2
  • prod-master3
  • prod-worker1
  • prod-worker2
  • Virtual IP for Keepalived:
kubernetes haproxy keepalived
Image Credits:

Make sure you generate SSH keys and copy your public key to all of the CentOS 7 servers where Kubernetes will be built.

Step 1: Prepare your servers

Preparing your servers is a crucial step which ensures that every aspect of the deployment runs smoothly till the very end. In this step, we shall be doing simple updates, installing haproxy and keepalived on the master nodes and make sure that important packages have been installed. Issue the commands below in each of your servers to kick everything off.

sudo yum -y update

On the master nodes, install haproxy and keepalived as follows

sudo yum install epel-release
sudo yum install haproxy keepalived -y

Configure SELinux as Permissive on all master and worker nodes as follows

sudo setenforce 0
sudo sed -i 's/^SELINUX=enforcing$/SELINUX=permissive/' /etc/selinux/config

Step 2: Configure Keepalived

From its GitHub Page, Keepalived implements a set of checkers to dynamically and adaptively maintain and manage load balanced server pool according their health. On the other hand high-availability is achieved by the Virtual Router Redundancy Protocol (VRRP).

On first master, configure keepalived as follows:

$ sudo vim /etc/keepalived/keepalived.conf
vrrp_script chk_haproxy {
  script "killall -0 haproxy"
  interval 2
  weight 2

vrrp_instance VI_1 {
  interface eth0
  state MASTER
  advert_int 1
  virtual_router_id 51
  priority 101
  unicast_src_ip    ##Master 1 IP Address
  unicast_peer {               ##Master 2 IP Address               ##Master 2 IP Address
  virtual_ipaddress {                 ##Shared Virtual IP address
  track_script {

On Second master, configure keepalived as follows:

$ sudo vim /etc/keepalived/keepalived.conf
vrrp_script chk_haproxy {
  script "killall -0 haproxy"
  interval 2
  weight 2

vrrp_instance VI_1 {
  interface eth0
  state BACKUP
  advert_int 3
  virtual_router_id 50
  priority 100
  unicast_src_ip    ##Master 2 IP Address
  unicast_peer {               ##Master 3 IP Address               ##Master 1 IP Address
  virtual_ipaddress {                 ##Shared Virtual IP address
  track_script {

On third master, configure keepalived as follows:

$ sudo vim /etc/keepalived/keepalived.conf
vrrp_script chk_haproxy {
  script "killall -0 haproxy"
  interval 2
  weight 2

vrrp_instance VI_1 {
  interface eth0
  state BACKUP
  advert_int 3
  virtual_router_id 49
  priority 99
  unicast_src_ip    ##Master 3 IP Address
  unicast_peer {               ##Master 1 IP Address               ##Master 2 IP Address
  virtual_ipaddress {                 ##Shared Virtual IP address
  track_script {
  • vrrp_instance defines an individual instance of the VRRP protocol running on an interface. This has arbitrarily named as VI_1.
  • state defines the initial state that the instance should start in.
  • interface defines the interface that VRRP runs on.
  • virtual_router_id is the unique identifier of the nodes.
  • priority is the advertised priority that you learned about in the first article of this series. As you will learn in the next article, priorities can be adjusted at runtime.
  • advert_int specifies the frequency that advertisements are sent (3 seconds in this case).
  • authentication specifies the information necessary for servers participating in VRRP to authenticate with each other. In this case, it has not been configured.
  • virtual_ipaddress defines the IP addresses (there can be multiple) that VRRP is responsible for.

Start and Enable keepalived

After the configuration has been done in each of the master nodes, start and enable keepalived as follows

sudo systemctl start keepalived
sudo systemctl enable keepalived

Once Keepalived is running in each node, you should see a new IP added in your interface as follows

2: eth0: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1500 qdisc pfifo_fast state UP group default qlen 1000        
    link/ether 52:54:00:f2:92:fd brd ff:ff:ff:ff:ff:ff
    inet brd scope global noprefixroute eth0
       valid_lft forever preferred_lft forever
    inet scope global eth0

Step 3: Configure HAproxy

HAProxy is a free, very fast and reliable solution offering high availability, load balancing, and proxying for TCP and HTTP-based applications. It is particularly suited for very high traffic web sites and powers quite a number of the world’s most visited ones. Over the years it has become the de-facto standard opensource load balancer, is now shipped with most mainstream Linux distributions.

We shall configure HAProxy in the three master nodes as follows:

$ sudo vim /etc/haproxy/haproxy.cfg

    log local2

    chroot      /var/lib/haproxy
    pidfile     /var/run/
    maxconn     4000
    user        haproxy
    group       haproxy

    # turn on stats unix socket
    stats socket /var/lib/haproxy/stats
# common defaults that all the 'listen' and 'backend' sections will
# use if not designated in their block
    mode                    http
    log                     global
    option                  httplog
    option                  dontlognull
    option http-server-close
    option forwardfor       except
    option                  redispatch
    retries                 3
    timeout http-request    10s
    timeout queue           1m
    timeout connect         10s
    timeout client          1m
    timeout server          1m
    timeout http-keep-alive 10s
    timeout check           10s
    maxconn                 3000
# apiserver frontend which proxys to the masters
frontend apiserver
    bind *:8443
    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 prod-master1 check
        server prod-master2 check
        server prod-master3 check

After making the configuration details, simply allow the configured port on your firewall then start and enable haproxy service.

sudo firewall-cmd --permanent --add-port=8443/tcp && sudo firewall-cmd --reload 
sudo systemctl restart haproxy
sudo systemctl enable haproxy

Step 4: Clone Kubespray Git repository and add configurations

In this step, we are going to fetch Kubespray files in our local machine (the installer machine) then make the necessary configurations by choosing containerd as the container run time as well as populating the requisite files with the details of our servers (etc, masters, workers).

cd ~
git clone
Cloning into 'kubespray'...

Change to the project directory:

$ cd kubespray

This directory contains the inventory files and playbooks used to deploy Kubernetes.

Step 5: Prepare Local machine

On the Local machine where you will run deployment from, you need to install pip Python package manager.

curl -o
python3 --user

Step 6: Create Kubernetes Cluster inventory file and Install dependencies

The inventory is composed of 3 groups:

  • kube-node : list of kubernetes nodes where the pods will run.
  • kube-master : list of servers where kubernetes master components (apiserver, scheduler, controller) will run.
  • etcd: list of servers to compose the etcd server. You should have at least 3 servers for failover purpose.

There are also two special groups:

  • calico-rr : explained for advanced Calico networking cases
  • bastion : configure a bastion host if your nodes are not directly reachable

Create an inventory file:

cp -rfp inventory/sample inventory/mycluster

Define your inventory with your server’s IP addresses and map to correct node purpose.

$ vim inventory/mycluster/inventory.ini

master0   ansible_host= ip=
master1   ansible_host= ip=
master2   ansible_host= ip=
worker1   ansible_host= ip=
worker2   ansible_host= ip=

# ## configure a bastion host if your nodes are not directly reachable
# bastion ansible_host=x.x.x.x ansible_user=some_user





Add A records to /etc/hosts on your workstation.

$ sudo vim /etc/hosts

If your private ssh key has passphrase, save it before starting deployment.

$ eval `ssh-agent -s` && ssh-add
Agent pid 4516
Enter passphrase for /home/centos/.ssh/id_rsa: 
Identity added: /home/tech/.ssh/id_rsa (/home/centos/.ssh/id_rsa)

Install dependencies from requirements.txt

# Python 2.x
sudo pip install --user -r requirements.txt

# Python 3.x
sudo pip3 install -r requirements.txt

Confirm ansible installation.

$ ansible --version
ansible 2.9.6
  config file = /etc/ansible/ansible.cfg
  configured module search path = ['/home/tech/.ansible/plugins/modules', '/usr/share/ansible/plugins/modules']
  ansible python module location = /usr/lib/python3/dist-packages/ansible
  executable location = /usr/bin/ansible
  python version = 3.8.5 (default, Jan 28 2021, 12:59:40) [GCC 9.3.0]

Review and change parameters under inventory/mycluster/group_vars

We shall review and change parameters under inventory/mycluster/group_vars to ensure that Kubespray uses containerd.

##Change from docker to containerd at around line 176 and add the two lines below

$ vim inventory/mycluster/group_vars/k8s-cluster/k8s-cluster.yml
container_manager: containerd
etcd_deployment_type: host
kubelet_deployment_type: host

Then in “inventory/mycluster/group_vars/all/all.yml” file, make the following changes

$ vim inventory/mycluster/group_vars/all/all.yml
##Add Load Balancer Details at around line 20
apiserver_loadbalancer_domain_name: ""    
   port: 8443

## Deactivate Internal loadbalancers for apiservers at around line 26
loadbalancer_apiserver_localhost: false

Make sure the Load Balancer Domain name can be resolved by your nodes.

Step 7: Allow requisite Kubernetes ports on the firewall

Kubernetes uses many ports for different services. Due to that, we need to allow them to be accessed on the firewall as follows.

On the three master nodes, allow the ports as follows

sudo firewall-cmd --permanent --add-port={6443,2379-2380,10250-10252,179}/tcp --add-port=4789/udp && sudo firewall-cmd --reload

On the worker nodes, allow the requisite ports as follows:

sudo firewall-cmd --permanent --add-port={10250,30000-32767,179}/tcp --add-port=4789/udp && sudo firewall-cmd --reload

Then allow ip forwading on all nodes as follows:

sudo modprobe br_netfilter
sudo sh -c "echo '1' > /proc/sys/net/bridge/bridge-nf-call-iptables"
sudo sh -c "echo '1' > /proc/sys/net/ipv4/ip_forward"

Step 8: Deploy Kubernetes Cluster with Kubespray Ansible Playbook

Now execute the playbook to deploy Production ready Kubernetes with Ansible. Please note that the target servers must have access to the Internet in order to pull images.

Start the deployment by running the command:

ansible-playbook -i inventory/mycluster/inventory.ini --become \
--user=tech --become-user=root cluster.yml

Replace “tech” with the remote user ansible will connect to the nodes as. You should not get failed task in execution. The very last messages will look like the screenshot shared below.

Once the playbook executes to the tail end, login to the master node and check cluster status.

$ sudo kubectl cluster-info
Kubernetes master is running at

To further debug and diagnose cluster problems, use 'kubectl cluster-info dump'.

You can also check the nodes

$ sudo kubectl get nodes
master0   Ready    master   33h   v1.19.5
master1   Ready    master   29h   v1.19.5
master2   Ready    master   29h   v1.19.5
worker1   Ready    <none>   29h   v1.19.5
worker2   Ready    <none>   29h   v1.19.5

Step 6: Install Kubernetes Dashboard (Optional)

This is an optional step in case you do not have other options to access your Kubernetes cluster via a cool interface like Lens. To get the dashboard installed, follow the detailed guide below.

How To Install Kubernetes Dashboard with NodePort

And once it is working, you will need to create an admin user to access your cluster. Use the guide below to fix that:

Create Admin User to Access Kubernetes Dashboard


Kubespray makes the deployment of Kubernetes a cinch. Thanks to the team that developed the playbooks involved in achieving this complex deployment, we now have a ready platform just waiting for your applications that will serve the world. In case you have a bigger cluster you intend to setup, simply place the various components (etcd, master, workers etc) in the deployment scripts and Kubespray will handle the rest. May your year flourish, your endeavour bear good fruits and your investments pay off. Let us face it with fortitude, with laughter, hard work and grace.

Other guides you might enjoy:

Monitor Docker Containers and Kubernetes using Weave Scope

Kubectl Cheat Sheet for Kubernetes Admins & CKA Exam Prep

Install Grafana on Kubernetes for Cluster Monitoring

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