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:
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
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
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
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
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
Project Details
Tools Explored
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High-Level Overview
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.