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Regiones

Economía de la selección de región

Equilibra precio, latencia, residencia y salida de datos al elegir región.

Resumen Ejecutivo y Respuesta Rápida

La misma máquina virtual puede costar el doble o la mitad dependiendo solo de su región. La elección de región equilibra precio, latencia, residencia de datos y disponibilidad de servicios.

Revisado

2026-08-22

Price spreads between regions are real

US and European flagship regions carry the deepest capacity and lowest base prices; emerging-market and remote regions add premiums of 10-40%. Comparing your candidate regions side by side takes minutes and compounds into permanent savings.

Latency sets the floor, not the ceiling

Users notice round trips above ~100 ms. Choose the cheapest region within acceptable latency of your users, not the closest region regardless of price.

Residency and compliance constraints

GDPR, sector rules, and corporate policy can pin workloads to specific jurisdictions. When residency forces a pricier continent, offset by moving batch, analytics, and staging workloads to cheaper regions.

Egress and inter-region traffic

Data transfer between regions - and out to the internet - can outweigh compute savings on chatty architectures. Co-locate tightly coupled systems; keep caches near users.

Conclusiones clave

  • Identical instances vary widely in price between regions.
  • Pick the cheapest region inside your latency and residency envelope.
  • Model egress before splitting tiers across continents.

Compare regiones alternativas, proveedores, niveles de hardware y arquitecturas de carga de trabajo.