"I finally hit the limit with existing broadcast services. Whether it’s Pusher, Pub/Sub, or even high-tuned gRPC, the 'Serialization Tax' always wins. When you’re dealing with high-frequency telemetry and real-time audio data, parsing JSON or even Protobuf becomes the primary bottleneck.
So I built NEXUS.Pulse.
Instead of trying to optimize existing protocols, I moved the entire pipeline to a Binary-First architecture. By integrating directly with my storage engine (NEXUS), Pulse eliminates the middleman. We don't 'package' data; we stream raw memory.
How it works under the hood:
Zero-Copy Ingestion: We use ReadOnlySpan<T> and unsafe pointers to map memory directly from the NEXUS storage core. No allocations, no heap fragmentation.
Blittable Structs: Every entity is a fixed-layout struct. The memory layout on the wire is identical to the layout in RAM.
Bypassing the Stack: By rejecting the traditional string-based overhead, we’ve achieved a local seeding and broadcast rate of 1 million entities in 11,858ns.
I’ve replaced my entire external stack with this. No more cloud ingress fees, no more CPU spikes during serialization, and near-zero latency. It’s not just a service; it’s a heartbeat for data that moves at the speed of the CPU cache.
Check out the live telemetry (running on the backbone of Pulse) here: telemetry.intelligentaudio.net
I'd love to hear your thoughts on memory-mapped broadcasting and if anyone else is pushing the limits of Span<T> for high-frequency data."
"I finally hit the limit with existing broadcast services. Whether it’s Pusher, Pub/Sub, or even high-tuned gRPC, the 'Serialization Tax' always wins. When you’re dealing with high-frequency telemetry and real-time audio data, parsing JSON or even Protobuf becomes the primary bottleneck. So I built NEXUS.Pulse. Instead of trying to optimize existing protocols, I moved the entire pipeline to a Binary-First architecture. By integrating directly with my storage engine (NEXUS), Pulse eliminates the middleman. We don't 'package' data; we stream raw memory. How it works under the hood: Zero-Copy Ingestion: We use ReadOnlySpan<T> and unsafe pointers to map memory directly from the NEXUS storage core. No allocations, no heap fragmentation. Blittable Structs: Every entity is a fixed-layout struct. The memory layout on the wire is identical to the layout in RAM. Bypassing the Stack: By rejecting the traditional string-based overhead, we’ve achieved a local seeding and broadcast rate of 1 million entities in 11,858ns. I’ve replaced my entire external stack with this. No more cloud ingress fees, no more CPU spikes during serialization, and near-zero latency. It’s not just a service; it’s a heartbeat for data that moves at the speed of the CPU cache. Check out the live telemetry (running on the backbone of Pulse) here: telemetry.intelligentaudio.net I'd love to hear your thoughts on memory-mapped broadcasting and if anyone else is pushing the limits of Span<T> for high-frequency data."