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Kubernetes Cluster Setup using kubeadm

Why This Setup Matters

Understanding Kubernetes deeply requires more than just using managed services like EKS or AKS. Setting up a cluster using kubeadm provides direct visibility into how control plane components, networking, and worker nodes interact.

This guide walks through building a multi-node Kubernetes cluster locally using VMware, allowing you to simulate a production-like environment without incurring cloud costs.

Architecture Overview

  • 1 Control Plane Node
  • 2 Worker Nodes
  • Container Runtime (Docker / containerd)
  • Pod Network (Calico / Flannel)

Implementation Overview

The setup process involves preparing virtual machines, installing required dependencies, initializing the control plane, and joining worker nodes to the cluster.

Key Highlights

  • Preparing VMware virtual machines for Kubernetes
  • Installing container runtime and kubeadm
  • Cluster initialization and node joining
  • Networking configuration for node communication

Cluster Verification

Verify node status:

kubectl get nodes

Expected: All nodes should be in Ready state

Check system pods:

kubectl get pods -n kube-system

Common Issues & Fixes

  • kubeadm init fails → Ensure swap is disabled
  • kubelet not starting → Check cgroup driver mismatch
  • Pods not communicating → Verify CNI plugin installation

Real-World Insight

In production environments, Kubernetes clusters are typically managed using services like EKS, AKS, or GKE. However, understanding kubeadm-based setups helps engineers debug issues at a deeper level where managed abstractions fail.

Want the full step-by-step implementation?

For terminal commands and detailed configuration steps, visit the complete guide:

Read the Full Kubernetes Setup Guide

Conclusion

Setting up a Kubernetes cluster using kubeadm provides foundational knowledge required for real-world DevOps environments. This hands-on approach helps in understanding cluster internals, improving troubleshooting skills, and preparing for production-grade deployments.

Who Should Read This?

  • DevOps Engineers learning Kubernetes deeply
  • Engineers preparing for CKA/CKAD
  • Anyone working with container orchestration

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