Go Developer Builds Zero-Allocation Worker Pool for 10kHz Biosensor Data Pipeline

A software engineer building PhotonicOps, an offline telemetry engine for silicon photonic biosensors, has detailed the design of a high-performance worker pool in Go. The system ingests 10,000 optical frames per second from a biosensor via gRPC and routes them to a downstream digital signal processing (DSP) layer without dropping samples. Ten fixed workers pull frames from a 50,000-slot buffered channel, while sync.Pool eliminates per-frame memory allocations to avoid garbage collection pauses that could cause missed readings. Backpressure is used instead of silent drops, meaning a full queue blocks the gRPC stream rather than discarding data. The entire pipeline runs locally on Apple Silicon hardware with no cloud or internet dependency, and further hardening including per-sensor ring buffers is planned.