Redis Caching Patterns

Using Redis effectively requires choosing the right caching strategy.

1. Cache-Aside (Lazy Loading)

The application code manages the cache.

1. App receives request.

2. Checks Redis.

3. If hit, return data.

4. If miss, query DB, write to Redis, return data.

**Pros:** Resilient to cache failure.

**Cons:** Three trips on cache miss.

2. Write-Through

Data is written to cache and database simultaneously.

**Pros:** Data consistency, fast reads.

**Cons:** Higher write latency.

Redis Configuration for LRU

To use Redis as a cache, configure it to evict old keys when memory is full.

maxmemory 2gb
maxmemory-policy allkeys-lru