Google Professional Cloud Architect: Google Cloud Compute Design

Google Cloud    |    Intermediate
  • 14 videos | 1h 15m 10s
  • Includes Assessment
  • Earns a Badge
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Building a virtual universe of virtual machines (VMs) or containers is a common choice for many IT organizations that wish to migrate to the cloud. Compute services are Infrastructure as a Service (IaaS) elements of Google Cloud. In this course, you'll discover Google Cloud compute design, beginning with choosing compute resources, Google Compute Engine (GCE) use cases, and choosing and creating a VM. Then you'll delve into managed and unmanaged instance groups, app engine environment planning, Google Cloud Run and Google Cloud Functions, and patch management. Finally, you'll explore Google Cloud Resource Manager, compute resource provisioning, Google Deployment Manager, and Google case studies and compute design. This course aids learners in preparing for the Google Professional Cloud Architect certification exam.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Outline features and capabilities of google cloud compute resources, including cloud functions, app engine, google kubernetes engine (gke), and google cloud platform (gcp)
    Identify use cases and scenarios for choosing google compute engine (gce)
    Provide an overview of the benefits and features of utilizing virtual machines (vms) on google cloud
    Create a virtual machine instance in google cloud
    Outline how to prepare for deployment of multiple vms by creating instance groups
    Identify features and options for planning an app engine deployment
  • Identify the purpose of functions as a service (faas), examine google cloud run and google cloud functions, and specify reasons for choosing one over the other
    Provide an overview of the importance of patching, patch management, and patching components, and describe patching best practices
    Identify features, options, and tools in google cloud resource manager
    Outline how to deploy standard, spot, and preemptible google compute infrastructure using the graphical user interface (gui) or command line interface (cli)
    Outline how to deploy google compute infrastructure using deployment manager
    Cite google case studies, identifying documented compute design decisions on google cloud
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 7s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 6m 12s
    After completing this video, you will be able to outline features and capabilities of Google Cloud compute resources, including Cloud Functions, App Engine, Google Kubernetes Engine (GKE), and Google Cloud Platform (GCP). FREE ACCESS
  • Locked
    3.  Choosing Google Compute Engine (GCE)
    5m 7s
    In this video, we will identify use cases and scenarios for choosing Google Compute Engine (GCE). FREE ACCESS
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    4.  Features and Benefits of Virtual Machines (VMs)
    5m 23s
    Upon completion of this video, you will be able to provide an overview of the benefits and features of utilizing virtual machines (VMs) on Google Cloud. FREE ACCESS
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    5.  Creating a Virtual Machine
    10m 14s
    In this video, find out how to create a virtual machine instance in Google Cloud. FREE ACCESS
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    6.  Managed and Unmanaged Instance Groups
    6m 31s
    After completing this video, you will be able to outline how to prepare for deployment of multiple VMs by creating instance groups. FREE ACCESS
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    7.  App Engine Environment Planning
    5m 9s
    Upon completion of this video, you will be able to identify features and options for planning an App Engine deployment. FREE ACCESS
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    8.  Google Cloud Run and Google Cloud Functions
    5m 36s
    After completing this video, you will be able to identify the purpose of Functions as a Service (FaaS), examine Google Cloud Run and Google Cloud Functions, and specify reasons for choosing one over the other. FREE ACCESS
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    9.  Patch Management
    5m 55s
    Upon completion of this video, you will be able to provide an overview of the importance of patching, patch management, and patching components, and describe patching best practices. FREE ACCESS
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    10.  Google Cloud Resource Manager
    4m 9s
    After completing this video, you will be able to identify features, options, and tools in Google Cloud Resource Manager. FREE ACCESS
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    11.  Compute Resource Provisioning
    7m 30s
    Upon completion of this video, you will be able to outline how to deploy standard, spot, and preemptible Google compute infrastructure using the graphical user interface (GUI) or command line interface (CLI). FREE ACCESS
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    12.  Google Deployment Manager
    4m 11s
    After completing this video, you will be able to outline how to deploy Google compute infrastructure using deployment manager. FREE ACCESS
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    13.  Google Case Studies and Compute Design
    7m 14s
    Upon completion of this video, you will be able to cite Google case studies, identifying documented compute design decisions on Google Cloud. FREE ACCESS
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    14.  Course Summary
    54s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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