Average latency is what dashboards show; tail latency is what users feel. When one request fans out to many backends, the slowest of them sets the pace. We optimise for performance you can rely on: low variance, bounded memory, and sensible behaviour at saturation.
What we do
- Performance audits. CPU and allocation profiling, flame graphs, lock-contention and syscall analysis, to find where the time actually goes before anyone touches the code.
- Latency engineering. Taking allocation off hot paths, cutting copies, batching I/O, tuning async runtimes and thread pools, and isolating noisy work from latency-sensitive work.
- Throughput and efficiency. Data-oriented design, cache-friendly layouts, SIMD where it pays off, and zero-copy serialisation.
- Rewrites where they make sense. Moving a hot component from a garbage-collected runtime to Rust can remove GC pauses entirely. We’ll tell you when that’s worth it, and when a targeted fix is enough.
- Keeping it fast. Reproducible benchmarks and load tests wired into CI, so regressions are caught in review rather than in production.
Performance without giving up safety
Rust offers control over memory layout and allocation comparable to C and C++, without undefined behaviour in safe code. That lets us chase the last microsecond without trading away the correctness guarantees the rest of the system depends on.
Typical engagements
- A performance audit with a prioritised, measured list of improvements
- Bringing a latency-critical path within its p99 budget
- Rewriting a hot component in Rust behind a stable interface