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ModernAPI

Redis Caching & Performance

Enterprise caching strategies, Redis implementation, and performance optimization

RedisPerformanceDistributed Systems
Why Redis in ModernAPI?
Redis provides enterprise-grade caching capabilities that dramatically improve application performance

Distributed Caching

Shared cache across multiple application instances

Horizontal scaling
Session sharing
Consistent cache hits

Data Structures

Rich data types beyond simple key-value pairs

Lists, Sets, Hashes
Atomic operations
Complex queries

Persistence

Optional data persistence for durability

RDB snapshots
AOF logging
Recovery options

High Performance

Sub-millisecond latency with high throughput

In-memory storage
Optimized protocols
Pipelining support
Cache Layer in Clean Architecture
How caching integrates with Clean Architecture principles

Application Layer

Cache-aware services and DTOs

Infrastructure Layer

Redis client, cache implementations

Cache abstracted behind interfaces, maintaining dependency inversion

Cache Interface (Domain)

public interface ICacheService
{
    Task<T?> GetAsync<T>(string key);
    Task SetAsync<T>(string key, T value, TimeSpan? expiry = null);
    Task RemoveAsync(string key);
    Task RemovePatternAsync(string pattern);
}

Redis Implementation (Infrastructure)

public class RedisCacheService : ICacheService
{
    private readonly IDatabase _database;
    
    public async Task<T?> GetAsync<T>(string key)
    {
        var value = await _database.StringGetAsync(key);
        return value.HasValue 
            ? JsonSerializer.Deserialize<T>(value!) 
            : default;
    }
}
Performance Impact
Measurable improvements with proper caching implementation
90%
Faster Response Times
75%
Reduced Database Load
50%
Lower Infrastructure Costs