Retail Store en Google Cloud Platform
Lo que aprender谩s sobre GCP para ecommerce
Etapas clave y MLOps
Arquitectura de alto nivel
Tour de la aplicaci贸n de retail
Backend as a Service y modelo de seguridad
Introducci贸n al proyecto
Medici贸n de interacciones
Setup de Google Tag Manager
Etiquetando con Google Tag Manager
Etiquetas relevantes para CLV
Integraci贸n con servicios
Exposici贸n de servicios con Apigee
Servicios expuestos con APIs
驴Qu茅 son las APIs?
Apigee
Creaci贸n de tu primer API Proxy en Apigee
Administraci贸n de APIs con Apigee
Creando un portal de desarrolladores
Interactuando con el portal de desarrolladores
Insights to Actions
Generaci贸n de modelos AI/ML
Machine Learning con datos estructurados
BigQuery para modelos de Forecasting y LTV
Bigquery ML - Manos a la Obra
Auto ML vs. Bigquery ML
Consideraciones para entrenar un modelo en BigQueryML
Entrenamiento del modelo en BigQuery ML
C贸mo exportar modelos hechos en BQML
Exportando un modelo hecho con BQML
Consumo de servicios de AI/ML
C贸mputo Serverless y Contenedores
驴Qu茅 es Kubernetes?
Consumo de modelos ML mediante BigQuery API
Almacenamiento de predicciones
Ejecuci贸n de predicciones y persistencia
Despliegue continuo con Cloud Run
Ejecuci贸n de despliegue con Cloud Run
Escalamiento de servicios en Cloud Run
AuthN y AuthZ con Cloud Run
Google Marketing Platform
An谩lisis de las predicciones
Segmentamos nuestras Predicciones
Caso pr谩ctico para definir tu estrategia de activaci贸n
Generemos nuestros modelos en la plataforma
Segmentamos nuestras audiencias en BigQuery
Carga tus audiencias y conecta tu medio de activaci贸n
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In the midst of an increasingly digital world, there is nothing worse than an application crashing due to unexpectedly high traffic. Being a victim of your own success is a situation that can be avoided by properly managing the scaling options in Google Cloud Run. Let's find out how to get the most out of these tools.
The key to success with Cloud Run lies in understanding its two fundamentals: horizontal scaling and vertical scaling.
Horizontal scaling:
Vertical scaling:
The big differential of Cloud Run over other serverless solutions is its ability to scale to zero, which means that you will not have instances running when not in use, which translates into cost savings.
Properly configuring your scaling options is essential to overcome any potential challenges. Here's a quick guide on how to do it:
Create a new service:
Advanced configuration:
Python main.py
.CPU and execution settings:
Choosing between Cloud Run and Cloud Functions can be complicated, but Cloud Run has outstanding features:
The ideal configuration will depend on the type of application and specific business needs. Here are some recommendations:
To maximize performance, it is essential to thoroughly know and understand the needs of your application. The path is to test, tweak and iterate until you find the most optimal configuration that suits your users' demands and your budget. Don't get discouraged and keep exploring new ways to improve your applications with cutting-edge technology!
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