How Redis Actually Works - RAM, Single Thread, and the Expiry Behavior Nobody Explains

/no/ appears to be an incomplete or incorrectly formatted query. If you're looking for information about Redis, here's a summary based on the content provided:

Key Points About Redis

1. Expiration and Cleanup:

   • Redis does not automatically clean up expired keys immediately; instead, it uses background processes like expire commands to manage key expiration.
   • Keys are cleaned up when they are accessed or during periodic scans by the server.

2. Rate Limiting with Sorted Sets:

   • A common use case for Redis is implementing rate limiting using sorted sets (ZSets).
   • The timestamp can be used as a score in ZSets to track requests within a time window.
   • Example code snippet provided shows how to implement this by removing old entries and counting current ones.

3. Best Practices:

   • Don't Use Redis as Primary Database: It lacks features like foreign keys, joins, and complex queries that are necessary for relational data management.
   • Avoid Large Values: Store small, hot data in Redis; large values can lead to inefficient memory usage and performance bottlenecks.
   • Pub/Sub for Non-Critical Data Only: Use Redis pub/sub only for non-critical

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