Real-Time Notification System
Challenge
Build a scalable push notification system inspired by Slack and Discord
Real-Time Notification System Challenge
🎯 Challenge Overview
Build a real-time notification delivery system that can instantly push messages to millions of connected users across web, mobile, and desktop applications. This challenge is inspired by the notification systems used by Slack, Discord, and WhatsApp, where message delivery speed and reliability are critical for user experience.
🏢 Real-World Context
Modern communication platforms handle billions of notifications daily:
- Slack: Delivers 10+ billion messages weekly with sub-second latency
- Discord: Handles 4+ billion messages daily across voice and text channels
- WhatsApp: Processes 100+ billion messages daily with delivery confirmations
- Teams: Manages enterprise notifications with priority and presence awareness
Your challenge is to build a system that can reliably deliver notifications in real-time while handling connection failures, offline users, and message persistence.
📋 Requirements
Core Features
-
Multi-Channel Delivery:
- WebSocket connections for web clients
- Push notifications for mobile devices
- Email fallback for offline users
- Desktop notifications for installed apps
-
Message Types & Priorities:
- Instant messages (highest priority)
- Mentions and reactions (high priority)
- Channel updates (medium priority)
- System notifications (low priority)
-
Reliability Features:
- Message persistence for offline users
- Delivery confirmations and read receipts
- Retry logic with exponential backoff
- Graceful degradation during outages
Technical Specifications
- Support 100,000+ concurrent WebSocket connections
- Sub-second message delivery for online users
- 99.9% delivery success rate
- Handle connection drops and reconnections gracefully
- Scale horizontally across multiple servers
🛠 Implementation Guide
Phase 1: WebSocket Infrastructure
// WebSocket server with Socket.IO
const io = require('socket.io')(server);
const redis = require('redis');
const client = redis.createClient();
io.on('connection', (socket) => {
// User authentication and session management
socket.on('authenticate', async (token) => {
const user = await verifyToken(token);
socket.userId = user.id;
socket.join(`user:${user.id}`);
// Deliver pending notifications
await deliverPendingNotifications(user.id, socket);
});
// Handle disconnection
socket.on('disconnect', () => {
updateUserPresence(socket.userId, 'offline');
});
});
Phase 2: Notification Queue System
// Redis-based message queue
class NotificationQueue {
constructor(redisClient) {
this.redis = redisClient;
}
async enqueueNotification(notification) {
const priority = this.getPriority(notification.type);
await this.redis.zadd(
`notifications:${notification.userId}`,
priority,
JSON.stringify(notification)
);
}
async processUserNotifications(userId) {
const notifications = await this.redis.zrange(
`notifications:${userId}`,
0, 10
);
for (const notification of notifications) {
await this.deliverNotification(JSON.parse(notification));
}
}
}
Phase 3: Push Notification Integration
// Firebase Cloud Messaging integration
const admin = require('firebase-admin');
class PushNotificationService {
async sendPushNotification(deviceToken, notification) {
const message = {
token: deviceToken,
notification: {
title: notification.title,
body: notification.body,
icon: notification.icon
},
data: {
type: notification.type,
payload: JSON.stringify(notification.data)
},
android: {
priority: 'high',
notification: {
sound: 'default',
channelId: notification.channel
}
},
apns: {
payload: {
aps: {
sound: 'default',
badge: notification.badge,
'content-available': 1
}
}
}
};
return admin.messaging().send(message);
}
}
📊 Success Metrics
- Connection Handling: 100k+ concurrent WebSocket connections
- Delivery Speed: <500ms for real-time notifications
- Reliability: 99.9% successful delivery rate
- Scalability: Linear scaling with server additions
- Battery Efficiency: Minimize mobile device battery drain
🎁 Bonus Challenges
- Smart Batching: Group similar notifications to reduce spam
- Presence Detection: Show online/offline status and typing indicators
- Message Threading: Handle notification replies and conversations
- Rich Notifications: Support images, buttons, and interactive elements
- Analytics Dashboard: Track delivery rates and user engagement
- A/B Testing: Test different notification strategies
📚 Learning Outcomes
After completing this challenge, you'll understand:
- WebSocket architecture and connection management
- Push notification platforms (FCM, APNs)
- Message queuing and priority systems
- Real-time system scaling challenges
- Offline-first application design
- Cross-platform notification strategies
🔧 Technical Stack Recommendations
- Backend: Node.js with Socket.IO or Go with Gorilla WebSocket
- Message Queue: Redis, RabbitMQ, or Apache Kafka
- Push Services: Firebase Cloud Messaging, Apple Push Notification Service
- Database: PostgreSQL for persistence, Redis for caching
- Monitoring: DataDog, New Relic, or custom dashboards
🚀 Getting Started
- Set up basic WebSocket server with user authentication
- Implement message queuing with Redis
- Add push notification integration (FCM for Android, APNs for iOS)
- Build delivery confirmation and retry logic
- Add presence detection and typing indicators
- Implement offline message persistence
- Create monitoring and analytics dashboard
🔗 Helpful Resources
- Socket.IO Documentation
- Firebase Cloud Messaging
- WebSocket Best Practices
- Real-Time Architecture Patterns
- Push Notification Guidelines
🎯 Sample Notification Types
{
"instantMessage": {
"type": "message",
"priority": "high",
"title": "@john mentioned you",
"body": "Hey @sarah, can you review this?",
"channel": "general",
"sound": "mention.wav"
},
"channelUpdate": {
"type": "channel_update",
"priority": "medium",
"title": "New message in #design",
"body": "3 new messages",
"badge": 3
}
}
Ready to build the notification system that keeps teams connected? Start coding and experience the challenges of real-time, reliable message delivery! 🚀📱
Architect's View
I think this logic should sit in the Domain layer, in a service object called RecommendationService maybe? This would work with entities such as Customer, Review, Product. Of course this service will eventually be orchestrated by use cases in the Application layer, but for now a simple Test Harness will suffice to provide the inputs and display the results. Slug: RealTimeNotificationSystem
Layers