Backend Scalability Patterns: Database Optimization and Caching
Backend Scalability Patterns: Database Optimization and Caching
Scale backend systems effectively with database optimization, caching strategies, and architectural patterns from Netflix and Uber.
Database Scaling Challenges
As applications grow, databases become bottlenecks. Learn horizontal and vertical scaling techniques.
Optimization Strategies
- Indexing: Proper database indexes for fast queries
- Query Optimization: Efficient SQL and ORM usage
- Connection Pooling: Reuse database connections
- Read Replicas: Distribute read load
Caching Strategies
- Application Caching: Redis and Memcached
- Database Caching: Query result caching
- CDN Caching: Static asset delivery
- Browser Caching: HTTP caching headers
Netflix and Uber Approaches
Netflix uses chaos engineering for resilience, while Uber implements microservices with service mesh.
Monitoring and Alerting
Implement comprehensive monitoring with tools like Prometheus and Grafana for proactive scaling.