Three Tier Application Deployment Project

Three Tier Application Deployment Project


Three Tier Application Project

Overview

This project entails the construction and deployment of a sophisticated Three-Tier Web Application. Leveraging the robust capabilities of ReactJS for the dynamic frontend, NodeJS as the backend foundation, and MongoDB as the flexible database, we aim to create a scalable and resilient web application.

To ensure optimal performance, reliability, and scalability, we'll be deploying the application on Amazon Web Services' Elastic Kubernetes Service (AWS EKS), a fully managed Kubernetes service. This strategic choice allows us to harness the power of container orchestration and benefit from AWS's cloud infrastructure.

By combining these technologies, we'll build a web application that is not only feature-rich and user-friendly but also highly available, easily scalable, and cost-effective. This project serves as an excellent opportunity to explore and master modern web development and cloud deployment practices.

Key components of the project include:

  • Frontend development: Building a dynamic and interactive user interface using ReactJS.
  • Backend development: Creating RESTful APIs using NodeJS to handle business logic and data access.
  • Database management: Implementing a NoSQL database using MongoDB to store application data.
  • Infrastructure provisioning: Setting up the AWS environment, including VPC, subnets, security groups, and other necessary resources.
  • Containerization: Packaging the application components into Docker containers for efficient deployment and management.
  • Orchestration: Deploying and managing the application on AWS EKS using Kubernetes.
  • CI/CD pipeline: Implementing automated build, test, and deployment processes using Jenkins.
  • Monitoring and logging: Setting up tools to track application performance and troubleshoot issues.

Through this project, we will gain a deep understanding of modern web development, cloud computing, and DevOps best practices.

Prerequisites

Basic knowledge of Docker, and AWS services. An AWS account with necessary permissions.

Project Steps

  • Application Code
  • Jenkins Pipeline Code
  • Jenkins Server Terraform
  • Kubernetes Manifests Files
  • Project Details

Application Code

The Application-Code directory contains the source code for the Three-Tier Web Application. Dive into this directory to explore the frontend and backend implementations.?

Skills Gained

  • Proficiency in Kubernetes for container orchestration and management
  • Expertise in Terraform for infrastructure as code (IaC)
  • Understanding of Helm for packaging and managing Kubernetes applications
  • Familiarity with Docker for containerization
  • Knowledge of AWS services for cloud-based infrastructure
  • Experience in CI/CD pipeline setup and automation
  • Ability to deploy and manage complex applications in a cloud environment

Jenkins Pipeline Code

In the Jenkins-Pipeline-Code directory, you'll find Jenkins pipeline scripts. These scripts automate the CI/CD process, ensuring smooth integration and deployment of your application.??

Skills Gained

  • Experience with Jenkins for CI/CD pipeline automation
  • Knowledge of pipeline scripting for defining automated build, test, and deployment workflows

Jenkins Server Terraform

Explore the Jenkins-Server-TF directory to find Terraform scripts for setting up the Jenkins Server on AWS. These scripts simplify the infrastructure provisioning process.??

Skills Gained

  • Proficiency in Terraform for Infrastructure as Code (IaC)
  • Understanding of AWS infrastructure provisioning with Terraform

Kubernetes Manifests Files

The Kubernetes-Manifests-Files directory holds Kubernetes manifests for deploying your application on AWS EKS. Understand and customize these files to suit your project needs.

Skills Gained

  • Knowledge of Kubernetes for container orchestration
  • Experience with Kubernetes manifest files for deployment configuration

Project Details

Tools Explored

  • Terraform & AWS CLI for AWS infrastructure
  • Jenkins, Sonarqube, Terraform, Kubectl, and more for CI/CD setup
  • Helm, Prometheus, and Grafana for Monitoring
  • ArgoCD for GitOps practices??

High-Level Overview

  • IAM User setup & Terraform magic on AWS
  • Jenkins deployment with AWS integration
  • EKS Cluster creation & Load Balancer configuration
  • Private ECR repositories for secure image management
  • Helm charts for efficient monitoring setup
  • GitOps with ArgoCD - the cherry on top!??


The journey covered everything from setting up tools to deploying a Three-Tier app, ensuring data persistence, and implementing CI/CD pipelines. ?

Getting Started

To get started with this project, refer to the comprehensive guide that walks you through IAM user setup, infrastructure provisioning, CI/CD pipeline configuration, EKS cluster creation, and more.??

Step-by-Step Guide

1. IAM User Configuration

To interact with AWS services, we need an identity. This step involves creating a dedicated user account with specific permissions. An IAM (Identity and Access Management) user is created with administrative privileges to manage resources within your AWS account. This user requires access keys (key ID and secret access key) for authentication.


2. EC2 Setup

An EC2 (Elastic Compute Cloud) instance is a virtual server in the AWS cloud. This step involves launching an Ubuntu server instance in a chosen AWS region. Once launched, necessary tools like AWS CLI (Command Line Interface), Docker (for containerization), and kubectl (Kubernetes command-line tool) are installed on this instance to interact with AWS and manage Kubernetes clusters.


3. EKS Cluster Creation

EKS (Elastic Kubernetes Service) is a managed Kubernetes service offered by AWS. This step creates a Kubernetes cluster on AWS using the eksctl tool. This cluster serves as the foundation for deploying and managing containerized applications.


4. Jenkins Server Deployment

Jenkins is an open-source automation server used for CI/CD pipelines. In this step, a Jenkins server is provisioned on AWS using Terraform scripts. This server will automate the build, test, and deployment processes for the application.


5. Kubernetes Manifest Deployment

Kubernetes manifests are YAML files that describe the desired state of your application. This step involves deploying the application's components (frontend, backend, database) to the EKS cluster using these manifests. Kubernetes ensures that the application runs as defined in the manifest.


6. AWS Load Balancer Setup

An AWS Load Balancer distributes incoming traffic across multiple targets, such as EC2 instances. This step configures the AWS Load Balancer Controller to manage external traffic to the application. It ensures high availability and scalability.


7. Monitoring Stack Deployment

Monitoring is essential for application health and performance. This step sets up Prometheus and Grafana, powerful tools for collecting and visualizing metrics. Prometheus is used to gather data, while Grafana provides a user-friendly interface to analyze and understand the application's behavior.

By following these steps, you'll establish the infrastructure and tools required for deploying and managing a three-tier application on AWS EKS.


Conclusion

This project provided me with comprehensive hands-on experience in deploying a three-tier application on AWS EKS. It incorporates various DevOps tools and best practices, making it a valuable learning resource.

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