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Google Cloud Compute and Scalability for Azure Professionals

Google Cloud

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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What's inside

Syllabus

Virtual Machines in Google Cloud

Load Balancing and Managed Instance Groups in Google Cloud

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Suitable for cloud architects and engineers with knowledge of Azure

Compares and contrasts Google Cloud and Azure solutions

In-depth focus on compute resources and load balancing in Google Cloud

Practical hands-on practice in building and managing Google Cloud resources

Taught by Google Cloud instructors

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Career center

Learners who complete Google Cloud Compute and Scalability for Azure Professionals will develop knowledge and skills that may be useful to these careers:

Cloud Architect

Cloud Architects design, build, and manage cloud computing systems. They work with clients to understand their business needs and then design and implement cloud solutions that meet those needs. Cloud Architects must have a deep understanding of cloud computing technologies and how they can be used to solve business problems. They must also be able to communicate effectively with both technical and non-technical stakeholders.

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Cloud Engineer

Cloud Engineers build and manage cloud computing systems. They work with Cloud Architects to design and implement cloud solutions and then manage those solutions on a day-to-day basis. Cloud Engineers must have a deep understanding of cloud computing technologies and how they can be used to solve business problems. They must also be able to work independently and as part of a team.

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Site Reliability Engineer

Site Reliability Engineers (SREs) are responsible for the reliability of cloud computing systems. They work to ensure that systems are up and running and that they are performing at their best. SREs must have a deep understanding of cloud computing technologies and how they can be used to build reliable systems. They must also be able to work independently and as part of a team.

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DevOps Engineer

DevOps Engineers work to bridge the gap between development and operations teams. They use their knowledge of both development and operations to help teams deliver software faster and more efficiently. DevOps Engineers must have a deep understanding of both development and operations processes and tools. They must also be able to work effectively with both developers and operations staff.

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Cloud Security Engineer

Cloud Security Engineers design, build, and manage cloud security systems. They work with clients to understand their security needs and then design and implement security solutions that meet those needs. Cloud Security Engineers must have a deep understanding of cloud security principles and technologies. They must also be able to work independently and as part of a team.

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Cloud Security Analyst

Cloud Security Analysts monitor and analyze cloud security systems for threats. They work with Cloud Security Engineers to identify and mitigate security risks. Cloud Security Analysts must have a deep understanding of cloud security principles and technologies. They must also be able to work independently and as part of a team.

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Cloud Storage Engineer

Cloud Storage Engineers design, build, and manage cloud storage systems. They work with clients to understand their storage needs and then design and implement storage solutions that meet those needs. Cloud Storage Engineers must have a deep understanding of cloud storage principles and technologies. They must also be able to work independently and as part of a team.

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Cloud Network Engineer

Cloud Network Engineers design, build, and manage cloud networking systems. They work with clients to understand their networking needs and then design and implement networking solutions that meet those needs. Cloud Network Engineers must have a deep understanding of cloud networking principles and technologies. They must also be able to work independently and as part of a team.

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Cloud Database Engineer

Cloud Database Engineers design, build, and manage cloud database systems. They work with clients to understand their database needs and then design and implement database solutions that meet those needs. Cloud Database Engineers must have a deep understanding of cloud database principles and technologies. They must also be able to work independently and as part of a team.

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Cloud Architect Associate

Cloud Architect Associates work under the supervision of Cloud Architects to design, build, and manage cloud computing systems. They must have a deep understanding of cloud computing technologies and how they can be used to solve business problems. Cloud Architect Associates may also be responsible for managing cloud computing projects.

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Data Scientist

Data Scientists use data to solve business problems. They work with clients to understand their business needs and then use data to develop solutions that meet those needs. Data Scientists must have a deep understanding of data science principles and technologies. They must also be able to work independently and as part of a team.

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Cloud DevOps Engineer

Cloud DevOps Engineers work to bridge the gap between development and operations teams in the cloud. They use their knowledge of both development and operations to help teams deliver software faster and more efficiently. Cloud DevOps Engineers must have a deep understanding of both development and operations processes and tools. They must also be able to work independently and as part of a team.

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Machine Learning Engineer

Machine Learning Engineers design, build, and manage machine learning models. They work with clients to understand their business needs and then design and implement machine learning solutions that meet those needs. Machine Learning Engineers must have a deep understanding of machine learning principles and technologies. They must also be able to work independently and as part of a team.

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Software Engineer

Software Engineers design, develop, and maintain software applications. They work with clients to understand their business needs and then design and implement software solutions that meet those needs. Software Engineers must have a deep understanding of software development principles and technologies. They must also be able to work independently and as part of a team.

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Data Engineer

Data Engineers design, build, and manage data pipelines. They work with clients to understand their data needs and then design and implement data solutions that meet those needs. Data Engineers must have a deep understanding of data engineering principles and technologies. They must also be able to work independently and as part of a team.

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Reading list

We've selected 14 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Google Cloud Compute and Scalability for Azure Professionals.

Cloud Computing