The best compute for your storage - Amazon S3 & AWS Lambda
summary
S3 invokes Lambda on object events to run code that resizes and composites images, using SAM for deployment, Lambda layers for native libraries, and tools like ImageMagick and OpenCV. A demo uploads 158 images and Lambda scales to about 76 concurrent functions, producing resized and chroma‑keyed files written back to S3 buckets. The pipeline stores final assets in destination buckets, scales automatically, and charges per invocation plus S3 storage.
AI-written summary · about
chapters (5)
- 0:00Introduction and speakers
- 1:05S3 and Lambda together
- 9:28Live demo of image resizing
- 16:17Chroma key and compositing demo
- 19:11Key benefits and wrap-up
related talks
46mHighly Scalable Image Storage with AWS Serverless
50mDeveloping Highly Scalable Image Storage Solution with AWS Serverless
32mServerless Data Processing and Machine Learning
23mOn-demand Container Loading in AWS Lambda
35mContainers and AWS Lambda: Choosing optimal compute for modern apps
33mContainers and AWS Lambda: Choose the optimal compute for applications
33mAWS Lambda - Logic in the Cloud without Back-end
47mReal Use Cases for Using AWS Lambda for Infrastructure Tasks