golang-samber-hot

Implement Go in-memory caching using samber/hot by initializing a cache with NewHotCache, selecting from 9 eviction algorithms like W-TinyLFU or LRU, and configuring capacity, TTL, and sharding via builder chain methods. This supports high-throughput services requiring balanced recency and frequency.

Prevent cache stampede in Go by configuring singleflight-based loaders within your caching layer. samber/hot consolidates concurrent cache misses for the same key into a single underlying data fetch, reducing redundant DB or API calls while supporting loader chaining for complex workflows.

Yes, Go in-memory caching with samber/hot supports Prometheus metrics integration. You can attach a Prometheus metrics collector through the builder pattern, enabling monitoring of cache hits, misses, and evictions to track cache efficiency in production environments.

Yes, you can use stale-while-revalidate and missing-key caching for Go applications. samber/hot allows serving stale data while background loaders fetch fresh values, and it supports caching negative results for missing keys to prevent repeated lookup attempts against the data source.

Reduce lock contention in a high-concurrency Go cache by enabling sharding. samber/hot distributes cache entries across multiple internal shards, minimizing mutex contention and promoting parallel access during heavy read and write operations.

Choose W-TinyLFU over LRU or LFU eviction for Go caches facing scan-heavy workloads with bursty access patterns. W-TinyLFU balances recency and frequency better, retaining hot data during transient spikes, whereas LRU may evict frequently accessed items during scans.