Serverless Image Upload and Processing System Using Cloud Storage Events
PinsoutServerless ApplicationsProject Objectives:
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.
Project Tasks:
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
Educational Qualifications
B.TechB.EBCAMCA
Required Skills
Serverless Architecture (Aws Lambda, Azure Functions, Google Cloud Functions)Event-Driven Automation (Cloud Storage Triggers, Sns/Sqs, Pub/Sub)Image Processing & Optimization (Resizing, Compression, Metadata Extraction)Cloud Storage & Database Management (S3, Firestore, Dynamodb, Blob Storage)Security, Error Handling & Monitoring For Serverless Systems
