Event-driven Processing

Process events from webhooks, triggers, and queues efficiently with automatic scaling and high reliability.

Overview

Event-driven processing allows systems to react to events as they occur, rather than continuously polling for changes. This approach is ideal for building loosely coupled, highly scalable systems that can process data in real-time or asynchronously. AWS serverless technologies make it easy to implement event-driven architectures without managing infrastructure.

Architecture

Event-driven Processing Architecture

Event-driven Processing Architecture

A reference architecture for event-driven processing showing the flow from event sources through queues to processing functions.

This architecture enables processing events from multiple sources. Events can originate from API Gateway (webhooks), S3 (file uploads), or EventBridge (scheduled events or custom events). These events are sent to SQS queues for reliable processing by Lambda functions. Failed events are sent to a Dead Letter Queue for analysis and retry, while CloudWatch provides monitoring and logging.

Pricing Calculation

Small Scale (100,000 events/month)

ServiceUsageMonthly Cost
API Gateway50,000 requests$0.18
SQS100,000 requests$0.04
Lambda100,000 invocations (128MB, avg 500ms)$0.11
EventBridge10,000 events$0.01
CloudWatch Logs5 GB$2.50
Total$2.84

* Prices are estimates based on AWS US East (N. Virginia) region pricing as of 2023. Actual costs may vary based on specific usage patterns, data transfer, and other factors.

Ready to Implement Event-driven Processing?

Let's discuss how an event-driven architecture can help your business handle real-time data processing at scale.