low-latency-systems

What problem does it solve?

Design, diagnose, and optimize low-latency request paths in backend and realtime systems. Use when profiling p50/p95/p99 latency regressions, reducing queueing and lock contention, tuning network/serialization overhead, validating tail-latency improvements, or preparing latency sign-off evidence with strict percentile gates.

Core Features & Use Cases

• Decompose latency paths to identify bottlenecks across ingress, compute, storage/IO, and network.
• Target tail-latency improvements (p50, p95, p99, p999) with measurable delta evidence.
• Automate baselining, cross-run comparisons, and sign-off artifact generation using dedicated scripts and reference templates.

Quick Start

Run a baseline latency run, capture a current run, and compare them with the provided Python tool to generate a regression report.