golang-samber-hot

To configure a Go in-memory cache with samber/hot safely, you must use the correct builder chain for TTL handling, janitor cleanup, and eviction algorithms while respecting safety constraints like WithoutLocking combinations to prevent runtime panics and stale data.

Choosing a Go cache eviction algorithm depends on your workload: use mixed-access defaults for general use, frequency-heavy algorithms for stable items, and scan-resistant patterns for large scans. Matching the eviction strategy to access patterns maximizes cache hit rates.

Set up Go cache loaders and negative caching by chaining loader functions during cache initialization to fetch missing data and store empty results, preventing repeated expensive lookups for non-existent keys in your Go API.

Yes, samber/hot supports Prometheus monitoring and cache sharding for production Go services. You can integrate Prometheus metrics and configure sharding in the builder chain to reduce concurrency contention and track cache performance.

Go cache lock contention often occurs when sharding is not configured or unsafe mutable values are handled without copy semantics. Enabling sharding distributes lock access across multiple cache instances, reducing concurrency contention.

Yes, you can use cache warm-up and revalidation with samber/hot in Go. Configuring warm-up pre-loads essential data into the cache, while revalidation ensures data freshness by checking TTL constraints before serving stale values.