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This project demonstrates advanced Kubernetes deployment capabilities, showcasing both declarative and imperative approaches to managing containerized applications. Through this implementation, I've developed a deep understanding of Kubernetes Deployments, ReplicaSets, and Pod management, using Nginx as the example application.

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🚢 Kubernetes Deployment Mastery

GitHub Repository Kubernetes Docker Nginx

📋 Project Overview

This project demonstrates advanced Kubernetes deployment capabilities, showcasing both declarative and imperative approaches to managing containerized applications. Through this implementation, I've developed a deep understanding of Kubernetes Deployments, ReplicaSets, and Pod management, using Nginx as the example application.

🎯 Key Objectives

  • Implement production-grade Kubernetes Deployments using both declarative and imperative approaches
  • Master Pod lifecycle management and scaling strategies
  • Develop expertise in Kubernetes manifest creation and management
  • Establish best practices for container orchestration
  • Gain hands-on experience with real-world deployment scenarios

🏗️ Project Architecture

The architecture implements a Kubernetes Deployment that manages a single ReplicaSet, which in turn maintains three identical Nginx pods running the latest Nginx image. Each pod runs a containerized Nginx web server exposing port 80, while the ReplicaSet ensures that the specified number of replicas (3) is maintained at all times.

graph TD
    A[Kubernetes Deployment] -->|Creates & Manages| B[ReplicaSet]
    B -->|Controls| C1[Pod 1: Nginx]
    B -->|Controls| C2[Pod 2: Nginx]
    B -->|Controls| C3[Pod 3: Nginx]
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💻 Technical Stack

  • Container Orchestration: Kubernetes
  • Container Runtime: Docker
  • Web Server: Nginx
  • Infrastructure: kubectl, Linux

🚀 Getting Started

🐳 Prerequisites
  • Kubernetes cluster (local or cloud-based)
  • kubectl CLI tool installed
  • Docker installed
  • Basic understanding of container orchestration
  • vim text editor (optional)
⚙️ Installation
  1. Clone the repository:
    git clone https://github.com/TheToriqul/k8s-deployment.git
  2. Navigate to the project directory:
    cd k8s-deployment
  3. Ensure kubectl is properly configured:
    kubectl cluster-info
🎮 Usage

Declarative Approach

  1. Apply the deployment configuration:
    kubectl apply -f deployment-definition.yaml

Imperative Approach

  1. Create deployment directly:
    kubectl create deployment nginx-deployment --image=nginx:latest --replicas=3 --port=80

For detailed commands and explanations, refer to the reference-commands.md file.

💡 Key Learnings

Technical Mastery:

  1. Advanced Kubernetes Deployment configurations and management
  2. Container orchestration patterns and best practices
  3. Declarative vs. Imperative deployment approaches
  4. Pod lifecycle management and scaling strategies
  5. Kubernetes manifest structure and syntax

Professional Development:

  1. Infrastructure as Code (IaC) principles
  2. DevOps best practices
  3. Production deployment strategies
  4. System architecture design
  5. Technical documentation skills

🔄 Future Enhancements

View Planned Improvements
  1. Implement rolling update strategies
  2. Add health checks and readiness probes
  3. Integrate with CI/CD pipelines
  4. Implement resource quotas and limits
  5. Add monitoring and logging capabilities
  6. Develop automated scaling policies

🙌 Contribution

Contributions are welcome! Feel free to open an issue or submit a pull request to suggest improvements or add features.

📧 Connect with Me

Let's connect and discuss cloud-native technologies!

👏 Acknowledgments

  • Poridhi for providing comprehensive labs and inspiring this project
  • The Kubernetes community for excellent documentation and resources
  • The open-source community for continuous inspiration and support

Thank you for exploring my Kubernetes Deployment project. I hope you find it helpful in your own cloud-native journey! 🚀

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This project demonstrates advanced Kubernetes deployment capabilities, showcasing both declarative and imperative approaches to managing containerized applications. Through this implementation, I've developed a deep understanding of Kubernetes Deployments, ReplicaSets, and Pod management, using Nginx as the example application.

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