About This Architecture

Event-driven microservices architecture for video upload and processing using AWS Lambda, SQS, and MediaConvert. Users authenticate via Cognito, upload videos through API Gateway protected by CloudFront and WAF, then async Lambda functions orchestrate transcoding, storage, and notifications via SQS message bus. Aurora PostgreSQL and DynamoDB persist metadata and conversion status while S3 buckets store raw and processed video assets. This pattern decouples upload, processing, and notification workflows, enabling independent scaling and fault isolation across compute, storage, and messaging layers. Fork this diagram on Diagrams.so to customize Lambda concurrency, SQS batch sizes, or add additional processors like thumbnail generation or subtitle extraction. The architecture demonstrates best practices for cost-efficient, asynchronous video pipelines by leveraging managed services and event-driven decoupling.

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How do I build a scalable, serverless video upload and processing system on AWS using asynchronous microservices?

This diagram shows a decoupled event-driven architecture where API Gateway receives video uploads, Lambda functions push jobs to SQS, and separate Lambda workers process transcoding via MediaConvert while storing metadata in Aurora and DynamoDB. CloudFront and WAF protect the frontend, Cognito handles authentication, and SES sends notifications—enabling independent scaling and fault isolation acro