performance-engineering

SKILL.md

Performance engineering encompasses load testing, profiling, and optimization to deliver reliable, scalable systems. This skill provides frameworks for choosing the right performance testing approach (load, stress, soak, spike), profiling techniques to identify bottlenecks (CPU, memory, I/O), and optimization strategies for backend APIs, databases, and frontend applications.

Use this skill to validate system capacity before launch, detect performance regressions in CI/CD pipelines, identify and resolve bottlenecks through profiling, and optimize application responsiveness across the stack.

When to use: Pre-launch capacity planning, regression testing after refactors, validating auto-scaling.

Lors de la validation des performances du système sous charge, de l'identification des goulots d'étranglement grâce au profilage ou de l'optimisation de la réactivité des applications. Couvre les tests de charge (k6, Locust), le profilage (CPU, mémoire, E/S) et les stratégies d'optimisation (mise en cache, optimisation des requêtes, Core Web Vitals). À utiliser pour la planification des capacités, la détection des régressions et l'établissement de SLO de performances. Source : ancoleman/ai-design-components.

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