Read-Through and Write-Through Caching with Redis

The Redis Masterclass details several caching patterns. Read-through and write-through move logic to the cache layer for consistency. Write-behind prioritizes speed by writing to memory immediately and persisting to the database asynchronously, though it risks data loss during crashes. Refresh-ahead prevents cache misses by updating hot keys in the background before they expire. These patterns allow developers to balance consistency, complexity, and performance based on specific use cases and data access predictability.