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An AI assistant is planned. Until it is genuinely useful we would rather point you at the page that actually answers your question.
Redis is an in-memory data store, which makes reads and writes extremely fast. It supports structures beyond simple key-value — lists, sets, sorted sets, streams — which is what makes it useful for more than caching.
Because data lives in memory, capacity is bounded by RAM and durability requires deliberate configuration. It is normally a complement to a primary database rather than a replacement.
Suitability
And when it is not. Choosing the wrong tool costs more than any implementation detail.
In practice
Holding expensive results with deliberate invalidation, which is the harder half of caching.
Per-client counters protecting APIs from both abuse and accidental overload.
Queue backing for workers, with retries and scheduled execution.
Considerations
Practical notes from running this in production.
FAQ
Tell us what you are trying to build or fix. We will come back with scope, approach and an honest view on cost and timeline.