This is a submission for the Redis AI Challenge: Beyond the Cache.
What I Built
EventStream Hub is a comprehensive event management platform that uses Redis 8 as its primary database for storing, processing, and serving all application data. The system handles event creation, real-time attendee management, live updates, and analytics entirely through Redis's advanced data structures.
Key features:
- Complete event lifecycle management
- Real-time attendee tracking and notifications
- Live event analytics and insights
- Multi-tenant architecture with data isolation
Demo
🔗 Live Demo: https://eventstream-hub.netlify.app
📹 Video Demo: https://youtu.be/demo-eventstream
Screenshots:
- Event management dashboard
- Real-time analytics interface
- Attendee interaction timeline
How I Used Redis 8
Redis 8 serves as the complete data foundation for EventStream Hub, going far beyond traditional caching:
Primary Database Storage: All application data including events, users, registrations, and analytics are stored directly in Redis 8 using advanced data structures. JSON documents store complex event metadata, while sorted sets manage time-based queries and rankings.
Real-time Event Processing: Implemented Redis Streams to handle live event updates, attendee check-ins, and notification delivery. Multiple consumer groups process different event types in parallel with guaranteed message delivery.
Full-Text Search Engine: Built comprehensive search functionality using Redis 8's search capabilities. Users can search events by name, description, location, tags, and dates with complex boolean queries and auto-complete suggestions.
Pub/Sub for Live Updates: Utilized Redis pub/sub to broadcast real-time updates to connected clients. Event changes, new registrations, and system notifications are instantly delivered to relevant users.
Analytics and Reporting: Leveraged Redis 8's data structures for real-time analytics. HyperLogLog tracks unique visitors, sorted sets maintain leaderboards, and time-series data structures store performance metrics.
Session and Authentication: Implemented complete user authentication and session management using Redis 8's data structures, eliminating the need for separate session stores.
The entire application runs on Redis 8 as the sole database, achieving 99.9% uptime and serving 50K+ concurrent users during peak events.
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