Redis is a versatile tool used to build high-performance applications and solve a variety of problems. Key use cases include caching to improve response times, queuing to process data asynchronously, distributed locking to prevent database overload, throttling to manage congestion, maintaining session stores for scalable web servers, and rate limiting to protect web servers from excessive API requests. Redis offers numerous additional features such as sorted sets, HyperLogLog, Pub-Sub, geospatial indexing, time series data, and modules like RedisSearch and RedisJSON.

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1. Caching:2. Queueing:3. Locking:4. Throttling:5. Session Store:6. Rate Limiting:πŸ”₯ BonusReferences
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