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Google Cloud Compute and Scalability for Azure Professionals

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Google Cloud Compute and Scalability for Azure Professionals

magic_button Compute Instances Virtual Machines Load Balancing
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8 hours Intermediate universal_currency_alt 15 Credits

This is the second course of a four-course series for cloud architects and engineers with existing Azure knowledge. It aims to compare Google Cloud and Azure solutions and guide professionals on their use.

This course focuses on compute resources and load balancing in Google Cloud. The learner will apply the knowledge of using virtual machines and load balancers in Azure to explore the similarities and differences with configuring and managing compute resources and load balancers in Google Cloud. Learners will get hands-on practice building and managing Google Cloud resources.

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Course Info
Objectives
  • Create and configure a Compute Engine instance in Google Cloud.
  • Explain the difference between Google Cloud images and Azure Custom Images.
  • Compare and contrast Cloud Load Balancing with Azure Load Balancers.
  • Explain the best use case for each specific type of load balancer (HTTP, TCP, SSL, Network, and Internal).
  • Describe managed instance groups (MIGs) and how to use them.
Prerequisites
Familiarity with Azure terms and concepts
Audience
Cloud Architects or Cloud Engineers who are experienced with Azure cloud.
Available languages
English
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