TURBNIX ENGINEERING SERIES · POST #31
CPU Scheduling & Worker Architecture
Explores CPU-aware worker design, affinity, load distribution and minimizing cache contention.
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From the original Engineering Series
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EXPANDED TECHNICAL EXPLANATION
CPU Scheduling & Worker Architecture
Workers can own connections and hot-path state locally while a management layer handles coordination. CPU affinity, balanced work distribution and awareness of shared caches and NUMA topology can reduce unnecessary migrations and contention.
ENGINEERING NOTE
Ideas first. Evidence next.
Turbnix engineering claims should ultimately be validated with reproducible tests. Design goals, early observations and measured production results are kept distinct so the project can improve from evidence rather than assumptions.