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Creating a Kubernetes Multi-Node Cluster with kubeadm
By Keshav Khatore | Jul 9, 2020 | In Articles | Total Views [ 147 ]
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  1. Virtual Box   In the Virtual Box install the Some software written Below:- Operating System — RHEL8(RedHat Linux) Download From:-
  2. BaseMemory — 2 GB
  3. Storage — 8GB
  4. CPU — 2
  5. Network — BridgedAdapter

After Installing the Setup in the Virtual Box then Proceed with Further Step to install the Software in the RHEL 8
Step-1. Configure and Install the Docker in RHEL 8

Step-2. Creating a Kubernetes Repository

Go through the Kubernetes Documentation

Step-3. On successfully running this sequence it will create a Kubernetes.repo file in /etc/yum.repos.d and Installing Kubeadm, Kubelet, Kubectl
The Work of Kubeadm, Kubelet, and Kubectl
Kubeadm — Kubeadm is a tool built to provide kubeadm init and kubeadm join as best-practice “fast paths” for creating Kubernetes clusters.
Kubelet — The kubelet is the primary “node agent” that runs on each node.
Kubectl — Kubectl is a command-line tool for controlling Kubernetes clusters.

Step 4. Start Docker Service In RHEL 8

Step -5 Disable SE-Linux from the RHEL 8 and then change Docker CgroupDriver to Systemd

After that Disable Swap Memory and then Install the Iproute-tc

It is used to see the configure if =1 then it is working properly or it is 0 then run the command

Step -6 Install and Start Kubelet Service in the RHEL 8

Successfully created the environment we required for the K8S multi-node cluster.

After that, We launch the Multi-Node Cluster in the OS

These are the machines for Kubernetes, while the speed depends on the ram.

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Keshav Khatore
Keshav Khatore

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I am Keshav Khatore student of Lovely Professional University, Phagwara, Punjab, India, currently pursuing Masters In Computer Application.I am a Member of Redhat Linux, the biggest network on the planet and it's a glad thing for me to be a piece of such extraordinary and lofty community. I expert in Linux and have certification Red-hat Certified System Administration . For Contact- || LinkedIn-

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