Scalable Video Processing pipeline over cloud.
Scalable Video Processing Using AWS ECS, Fargate, Lambda, and S3 Introduction This guide outlines how to use AWS services to implement an automated, scalable video processing pipeline that converts colored movies to grayscale upon upload to S3 storage. Goal Implement a video processing pipeline to convert colored videos to grayscale automatically using serverless computing. Key Services Used AWS Lambda : Serverless compute service for triggering tasks. Elastic Container Registry (ECR) : To store Docker images. Elastic Container Service (ECS) with Fargate : To manage, scale, and deploy processing containers. AWS S3 : Storage service for input and output videos. Python : To write processing code. Docker : To create container images. Workflow The video processing pipeline follows these steps: Upload File to S3 : Trigger the pipeline when a file is uploaded to an S3 bucket. Lambda Function : Detects the file upload and triggers an ECS ta...