Production performance reference covering Python (profiling with py-spy/Scalene, GIL and free-threading in 3.13t/3.14t, NumPy/Pandas vectorization 100–740x wins, Numba/Cython/PyPy, asyncio best practices, ASGI vs WSGI), Next.js/TypeScript (Core Web Vitals, RSC bundle discipline, PPR/Cache Components, App Router caching layers, Turbopack, DB pooling), and Azure cloud (compute cold starts, ACA/KEDA scale-to-zero, messaging service selection, Cosmos DB vs PostgreSQL, Redis ConnectionMultiplexer, Front Door CDN/WAF, VMSS autoscale, cost tiers). Use when diagnosing or fixing performance bottlenecks in Python services, Next.js apps, or Azure infrastructure.
