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.
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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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.