A Collection of Redis Tips Every Developer Should Know

Redis is an in-memory data store used for various purposes such as caching, session management, and message brokering. There are key principles that must be followed for efficient operation.

First, TTL (Time-To-Live) must be set for all data. This prevents memory exhaustion (OOM) to avoid system failures, ensures data freshness, and reduces application complexity.

Second, storing Big Keys (large-capacity keys) should be avoided. Strings exceeding 1MB or collections with more than 10,000 elements can cause memory fragmentation, network bandwidth saturation, synchronization delays, and data imbalance within the cluster.

Third, the appropriate Data Type should be used for the purpose.

• Sorted Set: Useful for implementing rankings or chronological sorting (e.g., recommendation feeds) by using timestamps as Scores.
• Hash: Rather than serializing an entire object for storage, using the Hash type allows for easier field-level management, enabling flexible responses to changes in data structure.