Caching keys without TTL causes unbounded memory growth

7/10 High

Storing cache keys without expiration causes indefinite accumulation over time, leading to unbounded memory growth, increased eviction pressure, and out-of-memory errors. Keys added without TTLs because "data never changes" persist even after assumptions change, causing unpredictable eviction behavior.

Redis
Category
storage
Workaround
solid
Stage
debug
Freshness
persistent
Scope
single_lib
Upstream
open
Recurring
Yes
Buyer Type
team
Maintainer
active

Sources

Collection History

Query: “What are the most common pain points with Nginx for developers in 2025?”4/4/2026

Bugs in Lua scripts or shared dictionary (ngx.shared.DICT) management can break traffic routing...Failure to implement a TTL (Time-To-Live) or proper eviction policy for keys in the dictionary causes it to fill up, resulting in Out-of-Memory (OOM) errors or cache thrashing.

Query: “What are the most common pain points with Redis for developers in 2025?”3/30/2026

Storing cache keys without an expiration means they accumulate indefinitely. Over time this leads to unbounded memory growth, increased eviction pressure, and potentially out-of-memory errors.

Created: 3/30/2026Updated: 4/4/2026