10 Essential Redis Best Practices Every Developer Should Follow

Redis has grown from a personal project to the industry‑standard in‑memory data store, and a set of best practices now guides its proper use.

1. Stop using KEYS *

The KEYS * command scans the entire keyspace with O(n) complexity, blocking other operations; use SCAN for incremental iteration instead.

2. Identify performance bottlenecks

Redis lacks detailed logs, but INFO commandstats shows per‑command call counts and latency. Example:

127.0.0.1:6379> INFO commandstats

# Commandstats

cmdstat_get:calls=78,usec=608,usec_per_call=7.79

cmdstat_setex:calls=5,usec=71,usec_per_call=14.20

cmdstat_keys:calls=2,usec=42,usec_per_call=21.00

Reset statistics with CONFIG RESETSTAT to obtain fresh data.

3. Treat Redis‑Benchmark as reference only

Benchmark results are useful for sanity checks but are not a substitute for realistic stress testing; consider client environment, Redis version, and production similarity.

4. Use hashes instead of many keys

Group related fields in a hash to reduce key count. Example:

127.0.0.1:6379> HSET foo first_name "Joe"

127.0.0.1:6379> HSET foo last_name "Engel"

127.0.0.1:6379> HSET foo address "1 Fanatical Pl"

127.0.0.1:6379> HGETALL foo

This stores all user attributes under a single key.

5. Set key expiration

Leverage TTL for temporary data such as auth tokens; matching the token’s lifetime ensures Redis automatically removes it.

6. Choose appropriate eviction policy

For keys with expiration, use volatile‑lru; for cache‑like data without TTL, consider allkeys‑lru.

7. Use try/except for critical data

Wrap Redis writes in error handling to guarantee important data is stored, as most clients follow a fire‑and‑forget model.

8. Avoid overloading a single instance

Distribute load across multiple Redis instances or clusters (available since 3.0.0). If clustering is not an option, use namespaces to spread keys.

9. More CPU cores don’t help

Redis runs single‑threaded; extra cores only benefit multiple instances, not a single one.

10. Ensure high availability

Deploy Redis Sentinel or managed services (e.g., ObjectRocket) for automatic failover and 24/7 support.