AWS Video Upload and Processing Architecture

AWSNetworkadvanced
AWS Video Upload and Processing Architecture — AWS network diagram

About This Architecture

Serverless video upload and processing architecture combining EC2 Next.js frontend, API Gateway, and Lambda backend with AWS MediaConvert for transcoding. Users authenticate via Route 53 and CloudFront CDN, uploading videos to S3 Materials Bucket while Lambda orchestrates metadata in Aurora PostgreSQL, conversion status in DynamoDB, and job queuing via SQS. MediaConvert outputs processed videos to S3 Display Bucket served through CloudFront, with Stripe payment integration and SES email notifications completing the workflow. This pattern demonstrates cost-effective, event-driven video processing with separation of concerns across compute, storage, and messaging layers. Fork this diagram on Diagrams.so to customize for your video platform, adjust scaling parameters, or integrate additional AWS services like Step Functions or EventBridge. The architecture balances serverless efficiency with managed database durability, ideal for SaaS platforms handling variable video upload volumes.

People also ask

How do I build a scalable video upload and processing platform on AWS using serverless components?

This diagram shows a complete serverless video architecture: users upload via CloudFront-cached Next.js frontend, Lambda backend queues jobs in SQS, MediaConvert transcodes videos to S3, and metadata is stored in Aurora PostgreSQL with conversion status tracked in DynamoDB. CloudFront serves processed videos with low latency while Stripe handles payments and SES sends notifications.

AWSserverlessvideo-processingLambdaMediaConvertS3
Domain:
Cloud Aws
Audience:
AWS solutions architects designing scalable video processing platforms

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About This Architecture

Serverless video upload and processing architecture combining EC2 Next.js frontend, API Gateway, and Lambda backend with AWS MediaConvert for transcoding. Users authenticate via Route 53 and CloudFront CDN, uploading videos to S3 Materials Bucket while Lambda orchestrates metadata in Aurora PostgreSQL, conversion status in DynamoDB, and job queuing via SQS. MediaConvert outputs processed videos to S3 Display Bucket served through CloudFront, with Stripe payment integration and SES email notifications completing the workflow. This pattern demonstrates cost-effective, event-driven video processing with separation of concerns across compute, storage, and messaging layers. Fork this diagram on Diagrams.so to customize for your video platform, adjust scaling parameters, or integrate additional AWS services like Step Functions or EventBridge. The architecture balances serverless efficiency with managed database durability, ideal for SaaS platforms handling variable video upload volumes.

People also ask

How do I build a scalable video upload and processing platform on AWS using serverless components?

This diagram shows a complete serverless video architecture: users upload via CloudFront-cached Next.js frontend, Lambda backend queues jobs in SQS, MediaConvert transcodes videos to S3, and metadata is stored in Aurora PostgreSQL with conversion status tracked in DynamoDB. CloudFront serves processed videos with low latency while Stripe handles payments and SES sends notifications.

AWS Video Upload and Processing Architecture

AWSadvancedserverlessvideo-processingLambdaMediaConvertS3
Domain: Cloud AwsAudience: AWS solutions architects designing scalable video processing platforms
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Created by

May 25, 2026

Updated

May 25, 2026 at 1:59 PM

Type

network

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