This project focuses on developing a serverless image processing system where uploaded images automatically trigger cloud functions for resizing, optimization, and metadata extraction without managing servers.
Study event-driven serverless concepts Design image processing workflow Configure cloud storage event triggers Implement functions for image resizing Store processed images in cloud storage Extract and store image metadata Implement error handling mechanisms Secure storage access permissions Monitor processing time and failures Test system with large image uploads Analyze cost and performance benefits Document serverless workflow
