Kubernetes Hands-on Labs 🚀

📚 Overview

This repository contains comprehensive documentation and configuration files for 5 hands-on Kubernetes labs covering fundamental to advanced concepts. The labs progress from basic pod operations to advanced scheduling and ingress configurations.

🧪 Lab Structure

🔹 Lab 1: Core Kubernetes Objects

• Concepts: Pods, ReplicaSets, Deployments
• Key Files:
  • nginx.yaml - Basic nginx pod
  • replica-set-1.yaml - Busybox ReplicaSet
  • deployment-1.yaml - Basic deployment
  • nginx-deployment.yaml - Production deployment
• Skills Gained:
  • ✅ Imperative vs declarative management
  • ✅ Self-healing capabilities
  • ✅ Deployment strategies
  • ✅ Rollback operations

🔹 Lab 2: Advanced Scheduling

• Concepts: Namespaces, Resource Management, Node Affinity
• Key Files:
  • finance-deployment.yaml - Namespaced deployment
  • taint.yaml - Node affinity configuration
• Skills Gained:
  • ✅ Namespace isolation
  • ✅ Resource quotas
  • ✅ Node selection
  • ✅ Taints/tolerations

🔹 Lab 3: DaemonSets and Services

• Concepts: DaemonSets, Services, Networking
• Key Files:
  • fluentd-daemonset.yaml - Cluster logging
  • backend-service.yaml - Service exposure
  • web-app-service.yaml - NodePort service
• Skills Gained:
  • ✅ Cluster-wide deployments
  • ✅ Service discovery
  • ✅ Internal/external access patterns
  • ✅ Pod networking

🔹 Lab 4: Configurations and Storage

• Concepts: ConfigMaps, Secrets, PVCs, Multi-container Pods
• Key Files:
  • darkblue-config.yaml - ConfigMap example
  • db-secret.yaml - Secret management
  • pvc-log.yaml - Persistent storage
  • multi-container-yellow.yaml - Sidecar pattern
• Skills Gained:
  • ✅ Configuration management
  • ✅ Sensitive data handling
  • ✅ Persistent storage
  • ✅ Pod design patterns

🔹 Lab 5: Ingress Controllers

• Concepts: Ingress, RBAC, Backend Services
• Key Files:
  • frontend-deployment.yaml - HAProxy ingress
  • ClusterRole.yaml - RBAC permissions
  • backend-service.yaml - Default backend
• Skills Gained:
  • ✅ Ingress controller setup
  • ✅ Role-based access control
  • ✅ Default backend configuration
  • ✅ TLS termination

🛠️ Quick Start

# Clone the repository
git clone https://github.com/your-repo/kubernetes-labs.git
cd kubernetes-labs

# Set up cluster (Minikube)
minikube start

# Deploy all lab resources
kubectl apply -f lab1/
kubectl apply -f lab2/
kubectl apply -f lab3/
kubectl apply -f lab4/
kubectl apply -f lab5/

🧰 Common Operations

# Get cluster state
kubectl get all --all-namespaces

# Check specific resources
kubectl get [pods|services|deployments] -n [namespace]

# View detailed info
kubectl describe [resource] [name]

Deployment Management

# Apply configurations
kubectl apply -f [file.yaml]

# Scale deployments
kubectl scale deployment/[name] --replicas=[number]

# Update images
kubectl set image deployment/[name] [container]=[image]

# Rollback changes
kubectl rollout undo deployment/[name]

View pod logs

kubectl logs [pod-name] -c [container]

Debug pod issues

kubectl describe pod [pod-name]

Access services

kubectl port-forward svc/[service-name] [local-port]:[service-port]

📊 Architecture Diagrams Ingress Controller Flow (Lab 5) Internet → NodePort (32456/32567) → HAProxy Ingress → Backend Services → Application Pods

Persistent Storage Flow (Lab 4) Application Pod → PVC → PV → Host Path (/pv/log)

Node Affinity Example (Lab 2) Deployment → Node Selector (color=blue) → Labeled Node

🏆 Best Practices Resource Management:

Always set requests/limits (Lab 2)

Use namespaces for isolation (Lab 2)

Configuration:

Use ConfigMaps for settings (Lab 4)

Store secrets properly (Lab 4)

Availability:

Use multiple replicas (Lab 1)

Implement proper probes (Lab 5)

Security:

Apply least privilege RBAC (Lab 5)

Use network policies