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Curso Architecting with Google Compute Engine

Curso Architecting with Google Compute Engine

CAS Training

Curso presencial

Madrid


1001-2000 €
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Sedes

Localización

Fecha inicio

Madrid

Objetivos

Configurar redes VPC y máquinas virtuales. Administrar Identity and Access Management para recursos. Implementar servicios de almacenamiento de datos en Google Cloud. Administrar y examinar la facturación de los recursos de Google Cloud. Supervisar los recursos mediante los servicios de Google Cloud. Conectar tu infraestructura a Google Cloud. Configurar balanceadores de carga y escalado automático para instancias de VM. Automatizar la implementación de los servicios de infraestructura de Google Cloud. Aprovechar los servicios administrados en Google Cloud.

A quién va dirigido

Cloud Solutions Architects, DevOps Engineers. Personas que utilicen Google Cloud para crear nuevas soluciones o para integrar sistemas existentes, entornos de aplicación e infraestructura, con un enfoque en Compute Engine.

Requisitos

Haber completado el

Temario completo de este curso

Módulo 1: Introduction to Google Cloud List the different ways of interacting with Google Cloud Use the Cloud Console and Cloud Shell Create Cloud Storage buckets Use the Google Cloud Marketplace to deploy solutions Módulo 2: Virtual Networks List the VPC objects in Google Cloud Differentiate between the different types of VPC networks Implement VPC networks and firewall rules Implement Private Google Access and Cloud NAT Módulo 3: Virtual Machines Recall the CPU and memory options for virtual machines Describe the disk options for virtual machines Explain VM pricing and discounts Use Compute Engine to create and customize VM instances Módulo 4: Cloud IAM Describe the Cloud IAM resource hierarchy Explain the different types of IAM roles Recall the different types of IAM members Implement access control for resources using Cloud IAM Módulo 5: Storage and Database Services Differentiate between Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Firestore and Cloud Bigtable Choose a data storage service based on your requirements Implement data storage services Módulo 6: Resource Management Describe the cloud resource manager hierarchy Recognize how quotas protect Google Cloud customers Use labels to organize resources Explain the behavior of budget alerts in Google Cloud Examine billing data with BigQuery Módulo 7: Resource Monitoring Describe the services for monitoring, logging, error reporting, tracing, and debugging Create charts, alerts, and uptime checks for resources with Cloud Monitoring Use Cloud Debugger to identify and fix errors Módulo 8: Interconnecting Networks Recall the Google Cloud interconnect and peering services available to connect your infrastructure to Google Cloud Determine which Google Cloud interconnect or peering service to use in specific circumstances Create and configure VPN gateways Recall when to use Shared VPC and when to use VPC Network Peering Módulo 9: Load Balancing and Autoscaling Recall the various load balancing services Determine which Google Cloud load balancer to use in specific circumstances Describe autoscaling behavior Configure load balancers and autoscaling Módulo 10: Infrastructure Automation Automate the deployment of Google Cloud services using Deployment Manager or Terraform Outline the Google Cloud Marketplace Módulo 11: Managed Services Describe the managed services for data processing in Google Cloud
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