RedisCache

RedisCache is a caching layer that uses Redis as the backing store. It provides fast in-memory access to data that is expensive to fetch or compute, reducing load on primary data stores and improving application latency.

Implemented as a library or service component, RedisCache is accessed through a Redis client. Items are stored with keys and values, which can be Redis data types such as strings, hashes, lists, or sets. Each key can have a time-to-live (TTL), after which Redis automatically removes it.

Redis features that influence RedisCache include optional persistence (RDB and AOF), replication for high availability, and clustering for scale. Memory usage is controlled by eviction policies (for example, allkeys-LRU or volatile-ttl) and maxmemory settings.

Operational considerations include deploying Redis as a separate service, securing access with authentication and optional TLS, and configuring monitoring. Use cases typically involve caching database queries, API responses, session data, or computed results to reduce latency.

Cache invalidation strategies range from time-based expiry to explicit invalidation on data changes, and from write-through to lazy caching. Choosing the right strategy is important to balance freshness against cache hit rates.

Limitations include added network overhead compared with in-process caches, memory costs, and potential data staleness in highly dynamic workloads. Proper design includes clear invalidation rules, appropriate TTLs, and resilience patterns such as replication and backups.