benchmark

Purpose

Measure and improve latency, throughput, and efficiency through focused benchmarking and profiling patterns.

Why it matters

When performance is guessed instead of measured, system limits stay hidden until they become user-facing failures.

Scope

This repo focuses on measurement harnesses, benchmark design, and performance interpretation. It does not try to be a full load-testing platform yet.

System Role

benchmark is the performance-engineering layer for the ecosystem. It gives system design and runtime tuning a factual basis.

System Connections

• Depends on: algorithmic inputs from kernel and service implementations from forge.
• Feeds into: optimization and scaling decisions.
• Interacts with: kernel, mesh, forge.

Core Concepts

• latency measurement
• throughput analysis
• profiling
• capacity signals
• repeatable benchmarks

Minimal Artifact

src/latency_bench.py and docs/performance-playbook.md provide the starter benchmark harness and note.

Notes

The focus is disciplined measurement that can inform system decisions, not synthetic numbers with no context.

Next Steps

Add comparative runs, profiling examples, and service-level performance scenarios.