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Architecture ExpertiseEvent Driven SystemsReal-Time ProcessingMulti-Channel DeliveryMessage Queues

Notification Platform System Architecture

Designing scalable event-driven notification platforms with multi-channel delivery (email, SMS, push).

System Overview

A notification platform publishes events when something happens (e.g., user signup, order placed). Multiple consumers subscribe to these events and deliver notifications via email, SMS, push, or other channels.

Event-driven architecture enables loose coupling and independent scaling of each channel. The architecture typically includes event producers, a message broker, notification workers, delivery providers, and analytics for tracking.

Key Components

Event Producer

Publishes events when something happens (user signup, order placed, etc.) without knowing which consumers will process them.

Event Broker

Message queue (Kafka, RabbitMQ) that distributes events to consumers with durable storage and replay capability.

Notification Workers

Async processing with retry logic, dead-letter queues, and rate limiting per channel.

Multichannel Delivery

Email, SMS, push notifications, and webhooks via third-party providers (SendGrid, Twilio, FCM).

Event Store

Persists events for replay, audit trails, and analytics. Event sourcing enables historical reconstruction.

Analytics & Tracking

Delivery status, open rates, click tracking, and notification analytics for optimization.

Architecture Diagram

Notification Processing Flow

  • 1Business event occurs (e.g., user signup, order placed)
  • 2Event published to message broker (Kafka/RabbitMQ)
  • 3Consumers subscribe and receive events
  • 4Workers process and route to appropriate channel
  • 5Third-party providers deliver (email, SMS, push)
  • 6Delivery status and analytics recorded

Technology Stack

Messaging

KafkaRabbitMQAzure Event HubsAWS EventBridge

Delivery

SendGridTwilioFirebase Cloud MessagingOneSignal

Backend

.NETNode.jsPythonMicroservices

Data

PostgreSQLRedisEvent StoreMongoDB

Scalability Considerations

  • Event broker handles high throughput with partitioning
  • Independent scaling of each consumer channel
  • Async processing with worker pools
  • Event sourcing for replay and new consumers
  • Horizontal scaling of notification workers

Challenges

  • Ensuring delivery guarantees and idempotency
  • Handling provider rate limits and failures
  • Managing notification preferences per user
  • Low latency for real-time notifications
  • Scaling during peak event volumes

Real World Use Cases

  • User onboarding and welcome flows
  • Order confirmation and shipping updates
  • Password reset and security alerts
  • Marketing campaigns and promotions
  • Real-time alerts and monitoring

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