generic-cache-eviction

To implement clock-safe cache eviction, use absolute value comparisons for expiry checks and carefully handle time sources to enforce a consistent time-to-refresh (TTR) strategy, preventing data staleness even if system clocks change unexpectedly.

Thundering herd issues in cache expiration occur when multiple cache entries expire simultaneously, overwhelming backend services. You prevent them by implementing jitter, which staggers cache refreshes across different time intervals to distribute the load evenly.

You add jitter to a TTR-based cache eviction policy by staggering cache refresh times, preventing simultaneous expiration of multiple entries. This technique distributes refresh operations over time, avoiding sudden spikes in backend service requests.

Yes, this TTR-based in-memory cache eviction strategy is applicable across all platforms. It relies on absolute value comparisons for expiry checks and platform-agnostic jitter implementation to ensure consistent cache behavior regardless of the environment.

You should use a TTR-based eviction policy for in-memory caches when you need to ensure users always see up-to-date information, such as caching frequently accessed user profiles, without overwhelming your backend services with simultaneous refresh requests.