redis-pro

Redis caching strategies like write-through and cache-aside manage data synchronization and expiration policies to reduce database load. Cache-aside populates the cache lazily on demand, while write-through updates both cache and database simultaneously.

Lua scripting in Redis executes multiple commands atomically as a single server-side operation. This prevents race conditions by ensuring intermediate states remain invisible to other clients until the entire script completes execution.

Real-time leaderboards in Redis are best built using Sorted Sets. Sorted Sets maintain unique elements ordered by floating-point scores, enabling efficient rank lookups and rapid updates for high-throughput gaming scenarios.

Yes, RediSearch supports indexing JSON documents for high-speed querying. It enables complex secondary indexing and full-text search operations directly on JSON data structures stored in Redis.

Redis Pub/Sub supports high-throughput real-time features by dispatching messages to subscribers instantly. It is suitable for scenarios like live notifications, though messages are not persisted if a subscriber is offline.

Redis caching may not be suitable when strict data persistence is required without cache expiration policies, or when complex relational joins make cache-aside strategies inefficient to maintain and invalidate.