redis-best-practices

- Use Redis for caching, session storage, real-time analytics, and message queuing - Choose appropriate data structures for your use case - Implement proper key naming conventions and expiration policies - Design for high availability and persistence requirements - Monitor memory usage and optimize for performance - Use colons as namespace separators - Include object type and identifier in key names - Keep keys short but descriptive - Use consistent naming patterns across your application - Use for simple key-value storage, counters, and caching - Consider using MGET/MSET for batch operations - Use for objects with multiple fields - More memory-efficient than multiple string keys - Supports partial updates - Use for queues, recent items, and activity feeds - Consider blocking operations for queue consumers - Use for unique collections, tags, and relationships - Supports set operations (union, intersection, difference) - Use for leaderboards, priority queues, and time-series data - Elements sorted by score - Use for event streaming and log data - Supports consumer groups for distributed processing - Always set TTL on cache keys - Use jitter to prevent thundering herd - Consider sliding expiration for session data - Use for complex atomic operations - Scripts execute atomically - Use replicas for read scaling - Configure proper persistence on master - Use for automatic failover...