[PRODUCT] Scale platform to support 1M concurrent users
Product Vision
Prepare platform architecture to handle 1 million concurrent users by Q2 2026.
Current State
- Current capacity: ~100K concurrent users
- Bottlenecks identified in streaming-service and recommendation API
- Database queries need optimization
Technical Requirements
- Implement caching layer (Redis) across all services
- Database read replicas and sharding strategy
- CDN integration for static content
- Auto-scaling for microservices
- Load balancer configuration optimization
Key Risks
- Database migration downtime
- Cost implications of infrastructure scale
- Potential need for microservice refactoring
Success Metrics
- Support 1M concurrent users with p99 latency under 500ms
- System availability 99.95%
- Cost per user under $0.10/month
Dependencies
- All microservices need caching support
- Infrastructure team for Kubernetes scaling
- Database team for sharding strategy
@bill_staples (architecture), @sabrina_farmer (backend), @stanhu (infrastructure)