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323 words·2 mins·
Vijay Kumar Singh
Vijay Kumar Singh
Author
Vijay Kumar Singh
DevOps & Cloud Explorer skilled in CI/CD, cloud automation and monitoring. Experienced in building scalable solutions and streamlined workflows.
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vsingh55/3-tier-Architecture-Deployment-across-Multiple-Environments

Project demonstrating the deployment of the YelpCamp(3-tier architechture) application across various environments, deployment process covering local, containerized, and Azure Kubernetes Service (AKS) .

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Blog Post

Project Overview

The Yelcamp Application is a comprehensive platform designed to manage campground locations, user registrations, reviews, and multimedia content. This project aims to implement a robust 3-tier architecture, encompassing the frontend, backend, and database layers, with an automated CI/CD pipeline to streamline development, testing, and deployment processes.

Architecture Diagram

Architecture Diagram

Challenges

  1. Complex Architecture: Managing a 3-tier application with separate layers for database, backend, and frontend services.
  2. Database Integration: Ensuring seamless integration and management of the cloud database within the Kubernetes environment.
  3. Security Measures: Implementing robust security protocols for both local and cloud deployments.
  4. Automation: Automating the entire CI/CD pipeline from code commit to deployment.
  5. Environment Management: Efficiently managing different environments (development, staging, production) and their respective configurations.
  6. Dependency Management: Handling application dependencies and environment variables for smooth deployments.

Solution

  1. 3-Tier Architecture Implementation:
    • Frontend: Developed with dynamic features allowing creation and management of campground locations with images.
    • Backend: Node.js application handling user registration, camp creation, and reviews.
    • Database: Integrated cloud database for persistent data storage, managed through Kubernetes.
  2. Kubernetes Deployment:
    • Set up Kubernetes for deploying the database in Docker containers.
    • Created deployment files for database resources, ensuring smooth volume and service management.
  3. Cloud Database Utilization:
    • Used a cloud database platform for easier management of volumes, services, and pods.
    • Reduced manual efforts and enhanced data persistence and accessibility.
  4. CI/CD Pipeline Setup:
    • Configured Jenkins and SonarQube for continuous integration and code quality analysis.
    • Implemented Docker for containerization and Kubernetes for orchestration.
    • Automated pipeline stages, including code build, test, and deployment.
  5. Security and Environment Management:
    • Provisioned virtual machines with proper security groups and SSH access.
    • Managed environment variables through Kubernetes secrets.
    • Set up AZ CLI for AKS cluster access and IAM roles for resource permissions.

Technologies Used

References and Links