Introduction
Kubernetes (K8s) has become the industry standard for container orchestration, enabling developers to deploy, scale, and manage containerized applications efficiently. Whether you’re a DevOps engineer, developer, or IT professional, mastering Kubernetes is essential in 2025.
This 20-page guide will take you from Kubernetes basics to real-world deployment, covering:
✔ What is Kubernetes & Why Use It?
✔ Core Kubernetes Architecture
✔ Step-by-Step Installation (Local & Cloud)
✔ Deploying Your First Application
✔ Scaling, Monitoring & Troubleshooting
Let’s dive in!
Understanding Kubernetes & Its Core Components
What is Kubernetes?
Kubernetes is an open-source container orchestration platform developed by Google. It automates:
- Deployment
- Scaling
- Load Balancing
- Self-healing
Key Kubernetes Components
- Control Plane (Master Node) – Manages the cluster.
- API Server – Entry point for commands.
- Scheduler – Assigns workloads to nodes.
- Controller Manager – Ensures desired state.
- etcd – Stores cluster data.
- Worker Nodes – Run containerized apps.
- Kubelet – Communicates with the Control Plane.
- Kube-Proxy – Manages networking.
- Container Runtime (Docker, containerd).
Setting Up Kubernetes (2025 Guide)
Option 1: Local Setup (Minikube & Kind)
Install Minikube (For Beginners)
bash
# Install kubectl (K8s CLI) curl -LO "https://dl.k8s.io/release/$(curl -L -s https://dl.k8s.io/release/stable.txt)/bin/linux/amd64/kubectl" # Install Minikube curl -LO https://storage.googleapis.com/minikube/releases/latest/minikube-linux-amd64 sudo install minikube-linux-amd64 /usr/local/bin/minikube # Start a cluster minikube start --driver=docker
Install Kind (Kubernetes-in-Docker)
bash
# Install Kind curl -Lo ./kind https://kind.sigs.k8s.io/dl/v0.20.0/kind-linux-amd64 chmod +x ./kind sudo mv ./kind /usr/local/bin/kind # Create a cluster kind create cluster --name k8s-tutorial
Cloud Setup (AWS EKS, Google GKE, Azure AKS)
AWS EKS Setup
- Install eksctl:bashCopycurl –silent –location “https://github.com/weaveworks/eksctl/releases/latest/download/eksctl_$(uname -s)_amd64.tar.gz” | tar xz -C /tmp sudo mv /tmp/eksctl /usr/local/bin
- Create a cluster:bashCopyeksctl create cluster –name my-cluster –region us-east-1
Deploying Your First Application
Step 1: Create a Deployment
yaml
Copy
# nginx-deployment.yaml apiVersion: apps/v1 kind: Deployment metadata: name: nginx-deployment spec: replicas: 3 selector: matchLabels: app: nginx template: metadata: labels: app: nginx spec: containers: - name: nginx image: nginx:latest ports: - containerPort: 80
Apply it:
bash
kubectl apply -f nginx-deployment.yaml
Step 2: Expose the Deployment (Service)
yaml
# nginx-service.yaml apiVersion: v1 kind: Service metadata: name: nginx-service spec: selector: app: nginx ports: - protocol: TCP port: 80 targetPort: 80 type: LoadBalancer
Apply it:
bash
kubectl apply -f nginx-service.yaml
Step 3: Access Your App
bash
kubectl get services
# Use EXTERNAL-IP to access Nginx
Page 13-16: Scaling & Monitoring
Horizontal Pod Autoscaling (HPA)
bash
Copy
kubectl autoscale deployment nginx-deployment --cpu-percent=50 --min=1 --max=10
Monitoring with Prometheus & Grafana
- Install kube-prometheus-stack:bashCopyhelm repo add prometheus-community https://prometheus-community.github.io/helm-charts helm install prometheus prometheus-community/kube-prometheus-stack
- Access Grafana:bashCopykubectl port-forward svc/prometheus-grafana 3000:80 # Open http://localhost:3000
Troubleshooting & Best Practices
Common Kubernetes Errors & Fixes
Error | Solution |
---|---|
CrashLoopBackOff | Check logs: kubectl logs <pod-name> |
ImagePullBackOff | Verify image name & registry access |
Pending Pods | Check node resources: kubectl describe pod <pod-name> |
Kubernetes Best Practices (2025)
✔ Use Helm for Package Management
✔ Implement RBAC (Role-Based Access Control)
✔ Backup etcd Regularly
✔ Use Namespaces for Multi-Tenancy
Conclusion
By now, you should have a fully functional Kubernetes cluster running applications smoothly. Kubernetes is a must-know skill in 2025, whether you’re in DevOps, cloud engineering, or software development.