serverless image processing project using AWS

fully automated, globally distributed image processing workflow .

How it works :

User uploads an image via API → Stored in S3 → Triggers a Lambda function → Image gets processed (resized, optimized, etc.) → Output is saved to another S3 bucket → Served globally via CloudFront.

Every step is monitored and logged through CloudWatch .

? Services used :

•AWS Lambda (Python + Pillow)

•Amazon S3 (image storage)

•API Gateway (to receive uploads)

•CloudFront (for global distribution)

•CloudWatch (for monitoring and logging)

•IAM (to manage secure permissions)

What I learned :

•How to build a full serverless architecture

•Triggering Lambda from S3 events

•Securing services with least-privilege IAM roles

•Monitoring performance and debugging via CloudWatch Logs