Docker & Kubernetes Labs Portfolio

This repository contains my hands-on Docker and Kubernetes lab work, demonstrating practical containerization, orchestration, and microservices concepts.
It serves as a portfolio for containerized application deployment, monitoring, and automation.

🎯 Purpose of This Repository

• Learn and practice containerization with Docker
• Explore multi-container apps using Docker Compose
• Implement Kubernetes deployments and services
• Understand health checks, restart policies, and monitoring
• Build microservices and secure containerized applications
• Apply ML models within Docker containers

This repository is continuously updated with new labs and projects.

🧪 Lab Environment

• Container Engine: Docker installed on Al Nafi lab cloud machines
• Orchestration: Kubernetes (minikube / provided lab cluster)
• Languages: Python, Node.js
• Focus: Real-world scenarios, microservices, secure deployments

📂 Repository Structure

Each folder represents a lab or project:

• aks-demo-app – Demo app deployed on AKS with Kubernetes manifests
• docker-compose-lab – Multi-service apps with Docker Compose (Python, Redis, Nginx)
• docker-healthcheck-lab – Health checks, restart policies, and monitoring scripts
• flask-docker-app – Flask web app containerization with Docker & Nginx
• k8s-lab – Kubernetes pods, deployments, and services
• microservices-lab – Multi-service architecture with Docker & Nginx load balancing
• ml-docker – Machine learning model containerization
• ml-docker-lab – Dockerized ML API with model management and database integration
• sample-app – CI/CD demo with Docker, Jenkins, and SonarQube
• secure-app – Secure Docker deployments with read-only containers and best practices
• webapp-k8s – Flask web application deployed on Kubernetes

Each directory contains Dockerfiles, configuration files, manifests, and scripts for practical execution.

🚀 Topics Covered

• Docker basics and advanced features
• Docker Compose for multi-container apps
• Health checks and restart policies
• Kubernetes basics: Pods, Deployments, Services
• Microservices architecture
• Flask and Node.js containerization
• ML model deployment in containers
• Secure Docker deployments and best practices
• CI/CD pipelines with Docker

▶️ How to Use

Clone the repository:

git clone https://github.com/<your-username>/Docker.git
cd Docker

Run Docker or Compose apps:

# Build and run a single container
docker build -t <image_name> <folder>
docker run -d -p <host_port>:<container_port> <image_name>

# Run Docker Compose apps
docker-compose -f docker-compose.yml up -d

Kubernetes manifests can be applied with:

kubectl apply -f <manifest.yaml>

🔄 Continuous Updates

This repository is actively maintained. New labs, microservices setups, ML integration, and secure containerization examples will be added regularly.

📘 Notes

• Labs are run on Al Nafi cloud machines, not local system
• Safe environment for experimentation and learning