golang-samber-hot

To implement an in-memory cache in Go with W-TinyLFU eviction, configure samber/hot with a specific capacity, TTL, and janitor cleanup. W-TinyLFU suits mixed recency and frequency workloads like user profile caches.

Singleflight deduplication in Go cache loaders prevents thundering-herd problems by automatically fetching missing keys while collapsing concurrent requests into a single backend call.

For high-frequency lookups with mixed access patterns, W-TinyLFU or ARC are strong eviction algorithm choices in Go. LRU and LFU handle simpler recency or frequency workloads respectively.

Yes, you can integrate Prometheus metrics with a Go in-memory cache using samber/hot. It supports production patterns including Prometheus metrics, sharding, copy-on-read/write, and graceful shutdown.

Handle missing keys in a Go cache by enabling missing-key caching and stale-while-revalidate patterns. Registering loaders with built-in singleflight deduplication further prevents backend overload.

In-memory caching in Go is limited by available RAM and loses data on restart. It is not ideal for distributed environments requiring cross-node consistency without additional sharding or external synchronization.