Consistent Hashing Explained: Why Modulo Assignment Reassigns Nearly Every Request
_jaydeepkarale · x · 2026-10-06
A well-structured explainer on consistent hashing in distributed systems.
The problem: naive hash(requestKey) % numberOfServers breaks when server count changes — going from 5 to 4 servers changes the modulo, reassigning nearly every request to a different server.
The fix: consistent hashing places both servers and requests on a ring via a hash function; each request goes to the nearest server clockwise. Removing a server then only reassigns the requests it was serving, leaving all others untouched.
Useful for understanding distributed caching, load balancing, and sharding fundamentals.
More from Infra
- Tiny decision model Jev classifies 1,000 papers for $0.08, letting frontier LLMs skip yes/no drudgery — TinfoilTricorn · 2026-10-06
- VC Funding Fell 66% in Last Hike Cycle, Putting ~25% of AI Lab ARR at Risk — menhguin · 2026-10-06
- TensorRT is 206% faster than llama.cpp in this local inference test — kalyan_kpl · 2026-10-06
- CME launches compute futures as BlackRock's Larry Fink hails 'a new asset class' — Saul_Loveman · 2026-10-06
- Australia open-sources Matilda Jev, a 56.8ms decision model that skips text generation — Med1_Ai · 2026-10-06
- Russia plans $12B 14nm fab by 2036; Huawei and Qualcomm sign cross-licensing deal — 创业邦 · 2026-10-06