- CLOUD COMPUTING & DEVOPS
- Reviews
Serverless image processing application (Lambda/S3)
Why Choose This Project?
Handling images at scale (resizing, compression, watermarking, thumbnail generation, etc.) is resource-intensive. Traditional servers require constant provisioning and maintenance. Serverless architecture with AWS Lambda and S3 automates this process without managing servers, making it cost-effective, highly scalable, and pay-per-use.
This project teaches serverless computing, cloud storage integration, and event-driven architecture, which are crucial in modern cloud-native applications.
What You Get
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Fully automated image upload → processing → storage pipeline
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No servers to manage (uses AWS Lambda)
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Resizing, compressing, watermarking, and format conversion
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Processed images stored in Amazon S3 for fast retrieval
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Integration with CDN (CloudFront) for global delivery
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Secure, cost-efficient, and infinitely scalable
Key Features
| Feature | Description |
|---|---|
| Image Upload | Users upload images via a web interface or API |
| Event-Driven Trigger | S3 triggers Lambda when a new image is uploaded |
| Image Processing | Resize, compress, crop, watermark, or format conversion |
| Multiple Output Versions | Create thumbnails, medium, and high-resolution versions |
| Storage in S3 | Original + processed images stored in S3 buckets |
| Global Delivery | CloudFront CDN for fast worldwide image access |
| Monitoring & Logging | CloudWatch for monitoring function execution |
| Security | IAM roles, pre-signed URLs for secure uploads |
| Scalability | Automatically scales with demand (no server provisioning) |
Technology Stack
| Layer | Tools/Technologies |
|---|---|
| Frontend | HTML, CSS, Bootstrap, React.js/Angular (optional upload UI) |
| Backend (Serverless) | AWS Lambda (Node.js/Python) |
| Storage | Amazon S3 (Buckets for raw and processed images) |
| Processing Library | Sharp (Node.js) / Pillow (Python) |
| Event Handling | AWS S3 Event Trigger → Lambda |
| CDN & Delivery | AWS CloudFront |
| Authentication | AWS Cognito / Pre-signed S3 URLs |
| Monitoring | AWS CloudWatch |
Cloud Services Used
| Service | Purpose |
|---|---|
| Amazon S3 | Store raw and processed images |
| AWS Lambda | Process images on upload (serverless) |
| Amazon CloudFront | Deliver optimized images globally |
| AWS CloudWatch | Monitor logs and performance |
| AWS IAM | Secure permissions and access policies |
| AWS API Gateway | (Optional) REST API for uploads/downloads |
Working Flow
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Upload Image
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User uploads an image through UI or directly to an S3 bucket.
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S3 Event Trigger
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S3 detects the new image and triggers an AWS Lambda function.
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Image Processing
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Lambda processes the image (resize, compress, watermark, convert format).
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Store Processed Image
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Lambda saves processed versions (thumbnail, medium, high-res) into another S3 bucket.
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Serve Globally via CDN
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CloudFront distributes processed images to users with low latency.
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Monitoring & Scaling
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CloudWatch monitors usage, and Lambda automatically scales with demand.
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