Google Cloud Fundamentals: Core Infrastructure

Duração: 1 dia (8 horas)

Aprenda sobre e compare muitos dos serviços de computação e armazenamento disponíveis no Google Cloud, incluindo o Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL e BigQuery.

Você aprenderá sobre ferramentas importantes de gerenciamento de recursos e políticas, como a hierarquia do Google Cloud Resource Manager e o Google Cloud Identity and Access Management (IAM).

Dependências de outros cursos e certificações com o curso de Google Cloud Fundamentals Core Infrastructure
Dependências de outros cursos e certificações com o curso de Google Cloud Fundamentals Core Infrastructure

Resumo do curso

O curso inclui apresentações, demonstrações e laboratórios práticos.
  •  Identify the advantages of Google Cloud.
  • Define the components of Google’s network infrastructure, including: Points of
    presence, data centers, regions, and zones.
  • Classify the difference between Infrastructure-as-a-Service (IaaS) and Platformas-a-Service (PaaS).
  • Identify the purpose of projects on Google Cloud.
  • Define the purpose of and use cases for IAM.
  • List interaction methods with Google Cloud.
  • Use Cloud Marketplace to interact with Google Cloud.
  • Explore the basics of networking in Google Cloud.
  • Identify the purpose of and use cases for Google Compute Engine.
  • Outline how Compute Engine can scale.
  • Detail important VPC compatibilities including routing tables, firewalls, and VPC peering.
  • Explore how Cloud Load Balancing functions in Google Cloud.
  • Deploy a basic infrastructure to Google Cloud.
  • Identify the purpose of and use cases for Cloud Storage.
  • Distinguish between Cloud Storage classes.
  • Distinguish between Google Cloud’s database storage options.
  • Deploy an application that uses Cloud SQL and Cloud Storage.
  • Define the concept of a container and identify uses for containers.
  • Identify the purpose of and use cases for Kubernetes and Google Kubernetes Engine.
  • Identify the purpose and use cases for Cloud Run.
  • Describe how Cloud Functions can support application development on Google Cloud.
  • Deploy a containerized application on Cloud Run.
  • Describe how Cloud Source Repositories and Cloud Functions can support
    application development on Google Cloud.
  • Explain how template-based creation and management of resources leverages
    a template to produce efficient app deployment and management.
  • Define SLIs, SLOs, and SLAs.
  • Identify the purpose of integrated monitoring, alerting, and debugging.