golang-samber-hot

You can implement an in-memory cache in Go using samber/hot, which provides TTL-based expiration alongside nine eviction algorithms including LRU, LFU, TinyLFU, and S3FIFO to manage capacity and reduce backend load.

Handle cache misses in high-concurrency Go services by configuring loader chains with singleflight, ensuring only one fetch request populates the cache while concurrent requests wait for the result.

Yes, samber/hot supports optional Prometheus metrics, allowing you to monitor cache hit rates, misses, and eviction counts to maintain observable caching behavior in production.

Yes, you can use stale-while-revalidate and missing-key caching in Go applications to serve stale data during background refreshes and prevent repeated backend queries for non-existent keys.

Configure sharding in a Go cache using the samber/hot builder API to split data across multiple internal shards, reducing lock contention and improving throughput for high-concurrency access patterns.

For mixed access patterns in a Go cache, W-TinyLFU or ARC eviction algorithms often provide better hit rates by adapting to frequency and recency simultaneously compared to standard LRU or FIFO.