golang-samber-hot

To implement an in-memory cache in Go, use samber/hot by calling hot.NewHotCache with an eviction algorithm like W-TinyLFU, configure a TTL and janitor, then call Build() to reduce backend load and latency.

Go caching with samber/hot supports LRU, LFU, TinyLFU, W-TinyLFU, S3FIFO, ARC, TwoQueue, SIEVE, and FIFO eviction algorithms to optimize memory usage across different access patterns.

The loader pattern for Go in-memory caching uses singleflight deduplication to prevent thundering herds, with optional revalidation to refresh stale entries in the background without blocking reads.

Yes, you can scale Go cache concurrency by configuring sharding in samber/hot, which distributes keys across multiple internal cache instances to significantly reduce lock contention under high throughput.

You can expose Prometheus metrics for a Go cache by enabling the built-in metrics integration in samber/hot, which provides observability into cache hits, misses, and eviction counts for production monitoring.

Yes, samber/hot supports missing-key caching using dedicated or shared configurations to store empty results, preventing cache penetration from repeated queries for non-existent keys.