golang-samber-hot

Prevent thundering herd issues in Go in-memory caches by using loader chains with singleflight to deduplicate concurrent loader calls and applying TTL jitter to stagger expiration times across keys.

For mixed access patterns, choose among LRU, LFU, TinyLFU, W-TinyLFU, S3FIFO, ARC, TwoQueue, SIEVE, or FIFO eviction algorithms to match your specific Go workload's memory and latency requirements.

Reduce lock contention in high-concurrency Go caching workloads by configuring sharding, which splits the cache into independent segments to minimize multi-core lock collisions during read and write operations.

Yes, you can serve stale cache data while refreshing in the background using the stale-while-revalidate pattern, which allows Go services to return existing data immediately while a background process fetches updated values.

Monitor Go cache hit rate and eviction metrics with Prometheus by integrating built-in metrics collection that tracks cache operability, latency, and eviction events directly through a fluent builder configuration.

Balance latency and memory usage by configuring samber/hot with appropriate eviction algorithms, per-cache TTL, and janitor routines to keep memory fresh while maintaining high throughput for Go services.