Google Professional Cloud Architect: Designing Google Compute Services

Google Cloud Platform 2022    |    Intermediate
  • 14 videos | 1h 9m 21s
  • Includes Assessment
  • Earns a Badge
Rating 4.5 of 11 users Rating 4.5 of 11 users (11)
Building a virtual universe of virtual machines or containers is one of the first ways that many IT organizations start migrating to the cloud. Compute services are Infrastructure as a Service (IaaS) elements of Google Cloud. In this course, discover the compute resources available from Google Cloud platform and the distinctive features and elements of control for each. Explore Google Compute Engine (GCE), Google Kubernetes Engine (GKE), App Engine, and Cloud Functions. Next, focus on the differences between different flavors within these services, such as the difference between preemptible and standard virtual machines, or between App Engine Standard and App Engine Flexible. Then, find out how network configuration based on Infrastructure as code (IaC) is used. Finally, investigate how the content in this course relates to the use cases that you can expect to encounter in an exam environment. This course is one of a collection that prepares learners for the Google Professional Cloud Architect exam.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Select the appropriate compute resource from among cloud functions, app engine, google kubernetes engine, and google cloud platform
    Identify the use cases that effectively leverage google compute engine (gce)
    Identify the benefits and trade-offs of various types of virtual machines available in google cloud platform
    Prepare for a custom vm deployment in the google cloud platform
    Prepare to deploy multiple vms by creating instance groups
    Identify the available choices when planning for an app engine deployment
  • Identify the purpose and options of functions as a service (faas) such as google cloud function and google cloud run
    Identify the importance of patching, patch management, and patching components, and outline patching best practices
    Identify the options and tools in google cloud resource manager
    Deploy standard, spot, and preemptible google compute infrastructure using the gui or cli
    Deploy google compute infrastructure using deployment manager
    Identify potential compute design decisions in google case studies
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 58s
  • 5m 55s
  • Locked
    3.  Google Compute Engine (GCE) Use Cases
    6m 10s
  • Locked
    4.  The Best Virtual Machine Type for a Workload
    6m 26s
  • Locked
    5.  Planning for Custom Virtual Machines (VMs)
    4m 43s
  • Locked
    6.  Planning for Managed and Unmanaged Instance Groups
    6m 18s
  • Locked
    7.  Planning for an App Engine Environment
    4m 46s
  • Locked
    8.  Features of Google Cloud Functions
    6m 8s
  • Locked
    9.  Patch Management Best Practices
    5m 51s
  • Locked
    10.  Google Cloud Resource Manager
    3m 57s
  • Locked
    11.  Provisioning Google Compute Systems
    6m 32s
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    12.  Google Deployment Manager
    3m 33s
  • Locked
    13.  Compute Design Decisions and Case Studies
    7m 3s
  • Locked
    14.  Course Summary
    1m

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