High-Performance Caching Strategies with Redis in .NET
Master Redis caching patterns for .NET applications. Covers distributed caching, cache-aside, write-through, refresh-ahead, and advanced patterns like cache stampede prevention.
High-Performance Caching Strategies with Redis in .NET
Caching is often the highest-impact optimization for backend systems. Let's explore patterns that work at scale.
Cache Patterns
Cache-Aside (Lazy Loading)
Write-Through
Refresh-Ahead (Prevent Stampede)
Advanced Patterns
Cache Stampede Prevention
Use distributed locks or probabilistic early expiration.
Multi-Level Caching
L1 (in-memory) + L2 (Redis) for ultra-low latency.
Cache Invalidation Strategies
- TTL-based
- Event-driven (Redis pub/sub)
- Tag-based invalidation
Redis Configuration for Production
Monitoring
Track hit ratio, latency percentiles, memory usage, eviction rate.
Conclusion
Effective caching requires understanding your access patterns and choosing the right strategy. Start simple, measure, then optimize.
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