02
Google Cloud Compute and Scalability for Azure Professionals
02
Google Cloud Compute and Scalability for Azure Professionals
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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.
과정 정보
목표
- 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.
기본 요건
Familiarity with Azure terms and concepts
대상
Cloud Architects or Cloud Engineers who are experienced with Azure cloud.
사용할 수 있는 언어
English
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과정을 완료하면 이수 배지가 주어집니다. 배지는 프로필에 표시되며 사회 연결망에서 공유할 수 있습니다.
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Coursera 및 Pluralsight 에서 Google Cloud 콘텐츠를 살펴보세요.
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