Portfolio Details
Serverless Image Processing Pipeline
An event-driven serverless image processing pipeline that automatically transforms, optimizes, and analyzes images using AWS Lambda, S3, and AI/ML services. This solution demonstrates modern serverless architecture patterns with pay-per-use pricing.
This project demonstrates a fully serverless image processing pipeline that automatically triggers when images are uploaded to S3. The solution performs multiple transformations including resizing, format conversion, quality optimization, and AI-powered content analysis.
Built with event-driven architecture principles, the pipeline scales automatically from zero to thousands of concurrent executions while maintaining cost-effectiveness through pay-per-use pricing models.
Traditional image processing solutions often require dedicated servers running 24/7, leading to high operational costs and complex scaling challenges. The key requirements were:
- Process images of varying sizes and formats automatically
- Scale instantly from zero to handle traffic spikes
- Minimize costs during low-usage periods
- Integrate AI-powered content analysis and tagging
- Maintain high availability and fault tolerance
- Support multiple output formats and resolutions
Developed a comprehensive serverless pipeline using:
- AWS Lambda: Event-driven image processing functions
- S3 Events: Automatic trigger for image uploads
- API Gateway: RESTful endpoints for pipeline management
- AWS Rekognition: AI-powered image analysis and tagging
- EventBridge: Event routing and workflow orchestration
- DynamoDB: Metadata storage and processing status tracking
This architecture processes thousands of images daily with zero server management, automatic scaling, and costs that scale linearly with usage.
Key Features
- Event-Driven Processing
- AI Content Analysis
- Multi-Format Support
- Auto-Scaling
- Pay-Per-Use
- Real-Time Processing