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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

  • Fully automated image upload → processing → storage pipeline

  • No servers to manage (uses AWS Lambda)

  • Resizing, compressing, watermarking, and format conversion

  • Processed images stored in Amazon S3 for fast retrieval

  • Integration with CDN (CloudFront) for global delivery

  • 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

  1. Upload Image

    • User uploads an image through UI or directly to an S3 bucket.

  2. S3 Event Trigger

    • S3 detects the new image and triggers an AWS Lambda function.

  3. Image Processing

    • Lambda processes the image (resize, compress, watermark, convert format).

  4. Store Processed Image

    • Lambda saves processed versions (thumbnail, medium, high-res) into another S3 bucket.

  5. Serve Globally via CDN

    • CloudFront distributes processed images to users with low latency.

  6. Monitoring & Scaling

    • CloudWatch monitors usage, and Lambda automatically scales with demand.

This Course Fee:

₹ 3199 /-

Project includes:
  • Customization Icon Customization Fully
  • Security Icon Security High
  • Speed Icon Performance Fast
  • Updates Icon Future Updates Free
  • Users Icon Total Buyers 500+
  • Support Icon Support Lifetime
Secure Payment:
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