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Google Cloud Fundamentals for Azure Professionals

Este curso de 1 día dirigido por un instructor presenta a los profesionales de Azure las capacidades básicas de Google Cloud en
cuatro pilares tecnológicos: redes, computación, almacenamiento y base de datos. Está diseñado para administradores de sistema Azure, arquitectos de soluciones y administradores de SysOps familiarizados con las características y la configuración de Azure que desean adquirir experiencia configurando productos de Google Cloud de manera más rápida. Con presentaciones, demostraciones y
laboratorios prácticos, los participantes obtienen detalles de similitudes, diferencias y procedimientos iniciales rápidamente.

Objetivos

Este curso enseña a los participantes las siguientes habilidades:
  • Identify Google Cloud counterparts for Azure IaaS, Azure PaaS, Azure SQL, Azure Blob Storage, Azure Application Insights, and Azure Data Lake
  • Configure accounts, billing, projects, networks, subnets, firewalls, VMs, disks, auto scaling, load balancing, storage, databases, IAM, and more
  • Manage and monitor applications
  • Explain feature and pricing model differences

Público

This course is intended for the following participants:
  • Individuals planning to deploy applications and create application environments on Google Cloud Platform.
  • Developers, systems operations professionals, and solution architects getting started with Google Cloud Platform.

Prerrequisitos

Para aprovechar al máximo este curso, los participantes deben tener:
  • Competencia básica en tecnologías de red, como subredes y enrutamiento;
  • Competencia básica en herramientas de línea de comando;
  • Experiencia con Microsoft Azure y IIS.

Duración

8 horas

Inversión

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Dependencias de otros cursos y certificaciones con el curso de Google Cloud Fundamentals for Azure Professionals
Dependencias de otros cursos y certificaciones con el curso de Google Cloud Fundamentals for Azure Professionals

Resumen del curso

El curso incluye presentaciones, demostraciones y laboratorios prácticos.
  • Explain the advantages of Google Cloud.
  • Define the components of Google’s network infrastructure, including: Points of presence, data centers, regions, and zones.
  • Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS).
  • Identify the purpose of projects on Google Cloud.
  • Understand how Azure’s resource hierarchy differs from Google Cloud’s
  • Understand the purpose of and use cases for Identity and Access Management.
  • Understand how Azure AD differs from Google Cloud IAM.
  • List the methods of interacting with Google Cloud.
  • Launch a solution using Cloud Marketplace.
  • Identify the purpose and use cases for Google Compute Engine.
  • Understand the basics of networking in Google Cloud.
  • Understand how Azure VPC differs from Google VPC.
  • Understand the similarities and differences between Azure VM and Google Compute Engine.
  • Understand how typical approaches to load-balancing in Google Cloud differ from those in Azure.
  • Deploy applications using Google Compute Engine.
  • Understand the purpose of and use cases for: Cloud Storage,
    Cloud SQL, Cloud Bigtable and Cloud Datastore.
  • Understand how Azure Blob compares to Cloud Storage.
  • Compare Google Cloud’s managed database services with Azure SQL.
  • Learn how to choose among the various storage options on
    Google Cloud.
  • Load data from Cloud Storage into BigQuery.
  • Define the concept of a container and identify uses for containers.
  • Identify the purpose of and use cases for Google Container Engine and Kubernetes.
  • Understand how Azure Kubernetes Service differs from from Google Kubernetes Engine.
  • Provision a Kubernetes cluster using Kubernetes Engine.
  • Deploy and manage Docker containers using kubectl.
  • Understand the purpose of and use cases for Google App Engine.
  • Contrast the App Engine Standard environment with the App Engine Flexible environment.
  • Understand how App Engine differs from Azure App Service.
  • Understand the purpose of and use cases for Google Cloud
    Endpoints.
  • Understand options for software developers to host their source code.
  • Understand the purpose of template-based creation and
    management of resources.
  • Understand how Google Cloud Deployment Manager differs from Azure Resource Manager.
  • Understand the purpose of integrated monitoring, alerting, and debugging
  • Understand how Google Monitoring differs from Azure Application Insights and Azure Log Analytics.
  • Create a Deployment Manager deployment.
  • Update a Deployment Manager deployment.
  • View the load on a VM instance using Google Monitoring.
  • Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms.
  • Understand how Google Cloud BigQuery differs from AWS Data Lake.
  • Understand how Google Cloud Pub/Sub differs from AWS Event Hubs and Service Bus.
  • Understand how Google Cloud’s machine-learning APIs differ from AWS’s.
  • Load data into BigQuery from Cloud Storage.
  • Perform queries using BigQuery to gain insight into data.
  • Review the products that make up Google Cloud and remember how to choose among them
  • Understand next steps for training and certification
  • Understand, at a high level, the process of migrating from Azure to Google Cloud.