#Scalability

Horizontal and vertical scaling strategies, bottleneck identification, and load distribution.

3 Articles

Articles

Adding one cache server shouldn't invalidate every key. Consistent hashing with virtual nodes and bounded loads — full Go and Java implementations.

Probabilistic drop rate limiting: uncoordinated enforcement bypassing Redis for 1M+ RPS with zero coordination overhead.

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