The main objective of this project is to deploy a Java-based web application on an AWS EC2 instance and integrate it with an AWS RDS MySQL database.
This setup demonstrates a scalable, secure, and cloud-based architecture where the application performs CRUD (Create, Read, Update, Delete) operations on the RDS database.
- Additionally, MySQL Workbench is used locally by developers for remote database management and monitoring, replicating a real-world enterprise environment.
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This project simulates a real-world enterprise cloud setup where:
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A Java application runs on an Amazon EC2 instance (Linux/Windows) and acts as the Application Layer.
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The application connects to an Amazon RDS MySQL database that serves as the Database Layer.
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Developers use MySQL Workbench on their local machines to manage and query the RDS database securely.
AWS Security Groups are configured to enable secure communication:-
- Between EC2 ↔ RDS for application connectivity.
- Between MySQL Workbench ↔ RDS for remote management.
This architecture promotes security, scalability, and ease of maintenance, following the same principles used in production-grade deployments.
- User/Application Request → The user interacts with the Java web app hosted on EC2.
- EC2 Instance (App Layer) → Executes application logic and connects to RDS using its endpoint.
- RDS MySQL (DB Layer) → Executes SQL queries (Insert, Update, Delete, Select) and returns results.
- MySQL Workbench (Local Tool) → Developers manage and monitor the RDS database remotely.
| Service | Purpose |
|---|---|
| Amazon EC2 | Hosts the Java web application and serves user requests. |
| Amazon RDS (MySQL) | Managed database service for persistent data storage. |
| MySQL Workbench | GUI tool for database design and management. |
| Security Groups | Controls inbound and outbound access between EC2, RDS, and developer systems. |
| IAM Roles & Policies | Secure access control for AWS services. |
| VPC (Virtual Private Cloud) | Provides network isolation and secure communication. |
- Both EC2 and RDS can be scaled independently as per traffic or data growth.
- RDS provides automatic backups, Multi-AZ replication, and snapshots for business continuity.
- Access is tightly controlled via Security Groups, IAM roles, and encryption (at rest and in transit).
- Developers can manage databases directly from MySQL Workbench without AWS Console access.
- Mirrors how enterprises deploy applications and databases separately for better performance, scalability, and manageability.
#You will learn:
- EC2 setup and SSH connectivity
- Java app deployment on cloud
- RDS MySQL configuration and integration
- Security group and VPC network configuration
- Using MySQL Workbench for remote management
- Add Elastic Load Balancer and Auto Scaling for EC2
- Enable RDS Multi-AZ for high availability
- Integrate AWS CloudWatch for performance monitoring
- Containerize the Java app using Docker and deploy with ECS or EKS
- Automate deployment with CI/CD pipelines (CodePipeline / GitHub Actions)