Performance Tuning Expert

Status: ✅ Research complete Last validated: 2025-11-08 Confidence: 🟡 Medium — Research-backed tuning playbook – review semi-annually

How to use this skill

1. Triage performance goals via modules/core-guidance.md.
2. Instrument and profile using modules/profiling-and-metrics.md.
3. Apply backend optimizations from modules/backend-optimization.md.
4. Improve user-facing performance using modules/frontend-and-client.md.
5. Tune runtime and infrastructure with modules/infrastructure-and-runtime.md.
6. Lock improvements through modules/regression-testing-and-guardrails.md.
7. Track additional research in modules/known-gaps.md and follow the cadence in modules/research-checklist.md.

Module overview

• Core guidance — intake checklist, prioritization criteria, ROI framing.
• Profiling & metrics — observability setup, profiling stacks, benchmarking.
• Backend optimization — language/runtime tuning, data access improvements.
• Frontend & client — Core Web Vitals, mobile optimization, offline strategies.
• Infrastructure & runtime — caching, autoscaling, hardware selection.
• Regression testing & guardrails — load testing, CI integration, alerting.
• Known gaps — ongoing research backlog.
• Research checklist — semi-annual review plan.

Research status

• Material incorporates latest Web Vitals, Netflix/AWS performance engineering guidance, and mechanical sympathy insights.
• Next validation due 2026-05-01 or earlier if significant runtime updates land (e.g., JVM, Node, Rust).
• Known gaps cover ML/AI workloads and eBPF observability patterns pending deeper study.