Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Microsoft

Manage cloud resources

Microsoft via Microsoft Learn

Overview

  • Module 1: Cloud Admin course from Dr. Majd Sakr at Carnegie Mellon University. Discover virtualization and how it enables many technologies in the cloud, including virtual machines, containers and networks.
  • In this module you will:

    • Identify the two main types of virtual machines and provide examples of each
    • Identify major reasons that virtualization is an essential technology for cloud computing
    • List the key advantages that containers have over virtual machines
    • Understand key terms such as Docker containers, container images, and container registries
    • Identify some of the ways in which major cloud platforms support containers
    • Recall key design considerations for data-center networks and describe the need for network virtualization to support multiple tenants

    In Partnership with Dr. Majd Sakr and Carnegie Mellon University.

  • Module 2: Cloud Admin course from Dr. Majd Sakr at Carnegie Mellon University. Discover what cloud elasticity means and different ways to scale your cloud resources.
  • In this module you will:

    • Describe common load patterns and how they drive the need to scale
    • Enumerate the strategies and considerations in scaling cloud applications
    • Discuss the advantages of auto-scaling and the mechanisms used to achieve it
    • Describe the importance of load balancing in cloud applications and enumerate various methods to achieve it
    • List the primary benefits of serverless computing and explain the concept of serverless functions

    This content is provided in partnership with Dr. Majd Sakr and Carnegie Mellon University.

  • Module 3: Cloud Admin course from Dr. Majd Sakr at Carnegie Mellon University. Learn about how to automate cloud resource management with scripts and infrastructure-as-code tools like Terraform.
  • In this module you will:

    • Learn about how to automate cloud resource management with infrastructure-as-code tools like Terraform
    • Explain the concept of Infrastructure-as-Code and enumerate the advantages that it offers over ordinary scripting
    • List some of the tools that implement IaC for popular cloud platforms and describe some of the differences between them
    • Understand Terraform's role as an infrastructure orchestrator and describe how it differs from a conventional configuration manager

    In Partnership with Dr. Majd Sakr and Carnegie Mellon University.

Syllabus

  • Module 1: Virtualize resources in the cloud
    • Introduction
    • Virtualization for virtual machines
    • Understanding virtualization
    • Virtualization for containers
    • Virtualization for networks
    • Summary
  • Module 2: Scale your cloud resources with elasticity
    • Introduction
    • Compute load patterns
    • Scaling compute resources
    • Automated scaling on the cloud
    • Load balancing
    • Serverless computing
    • Summary
  • Module 3: Automate cloud resource management
    • Introduction
    • What is automation?
    • Scripting cloud tasks
    • Infrastructure as code
    • Infrastructure as code tools
    • Terraform
    • Summary

Reviews

Start your review of Manage cloud resources

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.