#Redis

Redis data structures, persistence, clustering, and real-world usage patterns.

3 Articles

Articles

Five rate limiting algorithms, their trade-offs, how to distribute them across a fleet, and client-side backoff that works.

Four caching patterns with Go: cache-aside, write-through, write-behind, stampede prevention, and event-based invalidation.

Scale Redis: cluster sharding, hot key replication, connection pooling, pipelining, and eviction tuning for 1M+ ops/sec.