August 2024
Intermediate to advanced
616 pages
22h 8m
Spanish
Content preview from Diseño de aplicaciones intensivas en datos
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Parte II. Datos distribuidos
Para que una tecnología tenga éxito, la realidad debe primar sobre las relaciones públicas, pues a la naturaleza no se la puede engañar.
Richard Feynman, Informe de la Comisión Rogers (1986)
En la Parte I de este libro, tratamos aspectos de los sistemas de datos que se aplican cuando los datos se almacenan en una sola máquina. Ahora, enla Parte II, subimos un nivel y nos preguntamos: ¿qué ocurre si intervienen varias máquinas en el almacenamiento y la recuperación de datos?
Hay varias razones por las que puedes querer distribuir una base de datos entre varias máquinas:
- Escalabilidad
-
Si tu volumen de datos, carga de lectura o carga de escritura crece más de lo que puede manejar una sola máquina, puedes repartir potencialmente la carga entre varias máquinas.
- Tolerancia a fallos/alta disponibilidad
-
Si tu aplicación necesita seguir funcionando aunque se caiga una máquina (o varias, o la red, o todo un centro de datos), puedes utilizar varias máquinas para tener redundancia. Cuando una falla, otra puede tomar el relevo.
- Latencia
-
Si tienes usuarios en todo el mundo, puede que quieras tener servidores en varios lugares del mundo para que cada usuario pueda ser atendido desde un centro de datos que esté geográficamente cerca de él. Así evitas que los usuarios tengan que esperar a que los paquetes de red viajen por medio mundo.
Escalado a mayor carga
Si lo único que necesitas es escalar a una carga mayor, lo más sencillo es comprar una ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.