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Google Cloud Compute and Scalability for AWS Professionals

Google Cloud Compute and Scalability for AWS Professionals

magic_button Compute Instances Managed Instance Groups Compute Engine
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8 hours Introductory

This is the second course of a four-course series for cloud architects and engineers with existing AWS knowledge. It aims to compare Google Cloud and AWS 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 AWS 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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info
Course Info
Objectives
  • Create and configure a Compute Engine instance in Google Cloud.
  • Explain the difference between Google Cloud images and AWS AMI.
  • Compare and contrast Cloud Load Balancing with AWS 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 AWS terms and concepts
Audience
Cloud Architects or Cloud Engineers who are experienced with AWS cloud.
Available languages
English

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