02
Google Cloud Compute and Scalability for Azure Professionals
02
Google Cloud Compute and Scalability for Azure Professionals
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.
课程信息
目标
- 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.
前提条件
Familiarity with Azure terms and concepts
受众
Cloud Architects or Cloud Engineers who are experienced with Azure cloud.
支持的语言
English
学完本课程后，我可以做些什么？
学完本课程后，您可以探索学习路线 中的其他内容或浏览学习目录
我能获得什么徽章？
学完一门课程后，您将获得结业徽章。徽章可在个人资料中供查看，还可在社交网络上分享。
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