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Despliegue y Observabilidad en GCP

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Despliegue y Observabilidad en GCP

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Repaso de Semana 8 (GCP)

Created by

Cristian Javier Saltos Ponce
Cristian Javier Saltos Ponce
Ecuador

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Despliegue y Observabilidad en GCP
 

Despliegue y Observabilidad en GCPOnline version

Repaso de Semana 8 (GCP)

by Cristian Javier Saltos Ponce
1

¿Qué servicio de Google Cloud se adapta a despliegue de apps en contenedores con escalado automático y persistencia mediante Cloud Storage o Cloud SQL?

2

Para almacenar archivos de usuarios desde una app, ¿qué servicio usarías en GCP?

3

Qué servicio distribuye tráfico entre instancias para balanceo de carga?

4

¿Qué describe mejor la escalabilidad en la nube?

5

Para alta disponibilidad, ¿qué diseño es recomendado?

6

Qué herramienta de GCP se usa para métricas y alertas de infraestructura?

7

¿Qué servicio centraliza la recopilación de registros de la plataforma y apps?

8

La observabilidad combina métricas, logs y…

9

Para apps cloud con alto volumen de datos, ¿qué servicio facilita procesamiento a gran escala?

10

Qué combinación de servicios mejora la disponibilidad de una API?

Explicación

Cloud Run gestiona contenedores y escala automáticamente; puede usar almacenamiento/persistencia externas.

Cloud Storage es ideal para objetos y archivos de usuarios con alta durabilidad.

Cloud Load Balancing reparte tráfico entre instancias y regiones.

Autoescalado ajusta dinámicamente el número de instancias ante la demanda.

Multi-zonas y multi-región reducen fallos locales y mejoran disponibilidad.

Cloud Monitoring recopila métricas, crea dashboards y alertas.

Cloud Logging almacena y busca logs de recursos y apps.

Observabilidad usan métricas, logs y trazas para entender el comportamiento.

Dataflow permite procesamiento de datos en streaming/batch a escala.

Balanceo + réplica multi-región reduce fallos y mejora disponibilidad.

 
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