#Scalability

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

3 Articles

Articles

Consistent Hashing: The Algorithm Behind Scalable Distributed Systems

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

BackendBytes Engineering Team

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Distributed Rate Limiting at Scale: The Probabilistic Drop Architecture

System Design

System Design•Mar 3•14 min read

Distributed Rate Limiting at Scale: The Probabilistic Drop Architecture

Probabilistic drop rate limiting: uncoordinated enforcement that takes Redis off the request path, with no coordination per request.

BackendBytes Engineering Team

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System Design

System Design•Jan 5•16 min read

Caching Strategies at Scale

Four caching patterns (cache-aside, write-through, write-behind, read-through), plus Go code for stampede prevention, multi-tier caching, and event-based invalidation.

BackendBytes Engineering Team

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