This is a mock project for practicing of building the infrastructure for a system that analyze image using AI
- User can upload an image
- User can see the result of the analysis
- User can download the result of the analysis
| Component | Technology | Purpose |
|---|---|---|
| Load Balancer | AWS Application Load Balancer | Distribute the traffic to the web application |
| Web Application | AWS ECS | User interface for image upload |
| Storage | AWS S3 | Image and result storage |
| Database | AWS RDS | User data and analysis results |
| Message Queue | AWS SQS | Message queue for the web application to send image and also receive the result of the analysis |
| Network | AWS VPC | Network for the web application |
| AI Processing | AWS Lambda | Image analysis and labeling |
| Logging | AWS CloudWatch | Logging for the web application |
| Secret Management | AWS Secrets Manager | Secret management for the web application |
| Role-based Access Control | AWS IAM | Role-based access control for the web application |
| Communication between VPC and AWS Services | AWS PrivateLink and Interface VPC Endpoint | Communication between VPC and AWS Services |
| Internet Access | AWS NAT Gateway & Internet Gateway | Internet access for the Lambda function |
| Network Routing Table | AWS Route Table | Network routing table for the web application |
| Network Security Group | AWS Security Group | Network security group for the web application |
- AWS IAM for authentication and authorization
- AWS Secrets Manager for secret management
- AWS CloudWatch for logging and monitoring
- AWS VPC with Public and Private Subnets
- AWS PrivateLink and Interface VPC Endpoint for secure communication between VPC and AWS Services