Latency Optimization

objective

Execute latency optimization work with reproducible research, explicit controls, and deployable outputs.

workflow

1. define end-to-end latency budget and deterministic performance targets.
2. instrument each stage from feed ingress to order egress.
3. optimize kernel, memory, and network path for tail-latency reduction.
4. stress packet bursts, failovers, and capacity saturation scenarios.
5. promote only after reproducible latency and recovery behavior is verified.

required diagnostics

• stage-level p50, p99, and p999 latency decomposition.
• jitter and throughput stability under sustained burst load.
• packet-loss recovery time and replay correctness.
• resource saturation signals before service-level breach.
• tail-latency regressions during peak message bursts
• constraint shadow prices and solver convergence failure rates