A call about the tail of your latency distribution — what p99 looks like today, and which part of the path produces it.
1 day
Custom network layers and Rust engines where every millisecond counts
Standard frameworks add overhead you can’t afford — your system needs to saturate the hardware, not fight it. Once you’re processing hundreds of thousands of events per second, GC pauses violate SLAs, horizontal scaling inflates cloud bills, and generic gateways can’t handle your custom protocols. We engineer high-throughput real-time systems in Rust and eBPF: custom proxies, load balancers, gRPC services, binary protocols, and stream processing for sub-10ms latency and 100K+ concurrent connections.
Client-verified: a crypto trading platform sustained 100,000+ simultaneous WebSocket subscriptions — production-stable from day one (Clutch, New York); an ad platform RTB engine achieved sub-150ms response times with 80% spam/bot reduction. We identify your exact bottlenecks and fix them — often a targeted microservice in Rust for the critical path, integrated with your existing stack via gRPC, REST, or shared memory. You own everything: source code, benchmarks, and deployment scripts, with no vendor lock-in.
Ready to discuss your latency requirements and infrastructure bottlenecks? Book your free call!
A call about the tail of your latency distribution — what p99 looks like today, and which part of the path produces it.
1 day
We instrument the critical path, reproduce the spikes on your own traffic, and name the contention behind them.
7 days
Scoped system first phase — high-concurrency engine, load tested.
30 days
A latency budget owned end to end — kernel, network path, allocator, hot loop — until the numbers hold under your own peak load.
90+ days
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