Event-Driven Processing

Architecture

React to events from AWS services in real-time:

• S3 triggers for file uploads
• SQS for queue-based processing
• SNS for pub/sub messaging
• DynamoDB Streams for change data capture

Common Uses

• Image and video processing
• Log analysis and aggregation
• Data transformation pipelines
• Real-time notifications
• ETL workflows

When to Use

This pattern is ideal when you need:

• Asynchronous processing
• Decoupled microservices
• Real-time data processing
• High-throughput event handling