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Google Cloud Training

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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What's inside

Syllabus

Virtual Machines in Google Cloud
In this module, you will apply your knowledge of working with virtual machines in AWS to explore the similarities and differences with virtual machines in Google Cloud. You will learn about Google Virtual Private Cloud (VPC), routing and firewalls in Google Cloud, and the variety of options Google Cloud offers for connecting networks.
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Load Balancing and Managed Instance Groups in Google Cloud
In this module, you will apply your knowledge of load balancing and autoscaling instances in AWS to explore the similarities and differences with using load balancers and managed instance groups (MIGs) in Google Cloud. You will learn about the variety of options available in Cloud Load Balancing to distribute external and internal traffic. You will also learn how to create MIGs and use them effectively with load balancing services.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Course is part of a series for those with AWS and/or cloud knowledge, so learners without cloud knowledge may struggle
Focuses on migrating knowledge of applications managed in AWS to Google Cloud
Examines solutions for compute resources and load balancing, which are essential concepts for managing cloud infrastructure
Offered by Google Cloud Training, which provides learners with resources directly from a leader in the tech industry
Taught by Google Cloud Training, so learners can expect up-to-date information
Provides opportunities to apply concepts with hands-on exercises, ensuring retention and comprehension

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Google Cloud Compute and Scalability for AWS Professionals with these activities:
Review concepts related to virtual machines and load balancing in AWS
Refreshing your understanding of virtual machines and load balancing in AWS will provide a strong foundation for learning the Google Cloud Platform equivalents, enhancing your ability to grasp and compare the concepts effectively.
Browse courses on Virtual Machines
Show steps
  • Review documentation or online resources on virtual machines in AWS.
  • Review documentation or online resources on load balancing in AWS.
Review Networking Fundamentals
Review the basic networking concepts to refresh your memory and make learning the new material easier.
Browse courses on Networking Fundamentals
Show steps
  • Review the OSI model, including the seven layers and their functions.
  • Understand IP addressing, including IPv4 and IPv6, and subnetting.
  • Understand the role of routing and switching in networks.
Complete a tutorial on comparing Google Cloud and AWS VPCs
Enhance your understanding of the similarities and differences between Google Cloud and AWS VPCs by following a guided tutorial.
Browse courses on Virtual Private Cloud
Show steps
  • Identify a reputable tutorial on comparing Google Cloud and AWS VPCs
  • Follow the tutorial and complete all exercises
  • Take notes on the key differences and similarities
12 other activities
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Practice configuring VPCs and routing rules
Reinforce your understanding of VPCs and routing rules by completing hands-on exercises.
Browse courses on Virtual Private Cloud
Show steps
  • Follow a tutorial to create a VPC and subnet
  • Follow a tutorial to create a firewall rule
  • Follow a tutorial to create a route
Complete a tutorial on configuring load balancing in Google Cloud
Gain practical experience with load balancing in Google Cloud by completing a guided tutorial.
Browse courses on Load Balancing
Show steps
  • Identify a reputable tutorial on configuring load balancing in Google Cloud
  • Follow the tutorial and complete all exercises
  • Test your load balancer and ensure it is working as expected
Work through practice questions on Google Cloud Platform Console
Practice using the tools and features in Google Cloud Platform Console to perform compute resource and load balancing tasks, reinforcing your understanding of their functionality and configuration.
Show steps
  • Set up a Google Cloud Platform project and create a virtual machine instance using the Console.
  • Configure routing and firewalls for your virtual machine instance using the Console.
  • Create a load balancer for your virtual machine instance using the Console.
  • Test your load balancer and make adjustments as needed using the Console.
Join a study group focused on Google Cloud Platform compute resources and load balancing
Joining a study group with other learners pursuing similar interests can provide you with opportunities to discuss concepts, share experiences, and support each other's learning journeys.
Browse courses on Google Cloud Platform
Show steps
  • Search for study groups or online communities focused on Google Cloud Platform compute resources and load balancing.
  • Join a study group that aligns with your learning goals and schedule.
  • Participate actively in the study group discussions and activities.
Practice Configuring Virtual Machines in Google Cloud
Get hands-on experience configuring virtual machines in Google Cloud to solidify your understanding of the process.
Show steps
  • Create a new virtual machine instance in Google Cloud.
  • Configure the network settings, including assigning an IP address and creating a firewall rule.
  • Install the required software on the virtual machine instance.
  • Test the virtual machine instance to ensure it is functioning properly.
Configure VPC and routing rules
Configuring virtual networks and routing rules in Google Cloud will solidify your understanding of virtual machines and network configuration.
Browse courses on Virtual Private Cloud
Show steps
  • Create a new VPC
  • Create a subnet within the VPC
  • Create a firewall rule to allow traffic to your instances
  • Create a route to allow traffic to your VPC from the internet
Practice configuring load balancers and managed instance groups
Solidify your skills in configuring load balancers and managed instance groups through hands-on exercises.
Browse courses on Load Balancing
Show steps
  • Follow a tutorial to create a load balancer
  • Follow a tutorial to create a managed instance group
  • Follow a tutorial to configure autoscaling
Create a Diagram of Google Cloud Compute Resources
Create a diagram that illustrates the different types of compute resources available in Google Cloud and their relationships.
Browse courses on Compute Resources
Show steps
  • Research the different types of compute resources available in Google Cloud.
  • Identify the relationships between the different compute resources.
  • Create a diagram that visually represents the compute resources and their relationships.
Create a load balancer and configure autoscaling
Building a production-grade load balancing system with autoscaling will strengthen your understanding of load balancing and instance management in Google Cloud.
Browse courses on Load Balancing
Show steps
  • Create a load balancer
  • Create a managed instance group
  • Configure autoscaling for the managed instance group
  • Test the load balancer and autoscaling
Write a blog post comparing Google Cloud Platform and AWS for compute resources and load balancing
By writing a blog post, you can solidify your understanding of the similarities and differences between Google Cloud Platform and AWS, and share your findings with the broader community.
Browse courses on Google Cloud Platform
Show steps
  • Research the key features of Google Cloud Platform and AWS for compute resources.
  • Identify the similarities and differences between the two platforms.
  • Write a blog post comparing the two platforms, highlighting your findings.
Build a Google Cloud Platform compute resource and load balancing solution using Terraform
By building a project using Terraform and applying your knowledge of Google Cloud Platform compute resources and load balancing, you can gain practical experience and hands-on skills.
Browse courses on Google Cloud Platform
Show steps
  • Set up Terraform for Google Cloud Platform.
  • Write a Terraform configuration file to create a virtual machine instance.
  • Write a Terraform configuration file to create a load balancer.
  • Deploy your Terraform configuration and test your solution.
Develop a cloud-native application that leverages Google Cloud Platform compute resources and load balancing
By building a cloud-native application that utilizes Google Cloud Platform compute resources and load balancing, you can gain invaluable hands-on experience that will equip you to tackle real-world cloud challenges.
Browse courses on Google Cloud Platform
Show steps
  • Ideate and design your cloud-native application.
  • Choose the appropriate Google Cloud Platform compute resources and load balancing services for your application.
  • Build and deploy your application on Google Cloud Platform.
  • Test and evaluate your application's performance.

Career center

Learners who complete Google Cloud Compute and Scalability for AWS Professionals will develop knowledge and skills that may be useful to these careers:
Cloud Architect
As a Cloud Architect, you are responsible for designing and implementing cloud-based solutions for clients and organizations. The Google Cloud Compute and Scalability for AWS Professionals course can help build a strong foundation for this career by providing you with the knowledge and skills needed to design and manage cloud-based compute and storage solutions. The course covers topics such as virtual machines, load balancing, and managed instance groups, which are essential for any Cloud Architect working with Google Cloud.
DevOps Engineer
DevOps Engineers are responsible for bridging the gap between development and operations teams. They work to ensure that software is developed and deployed efficiently and reliably. The Google Cloud Compute and Scalability for AWS Professionals course can be useful for DevOps Engineers who want to learn more about Google Cloud's compute and storage offerings. The course covers topics such as virtual machines, load balancing, and managed instance groups, which are essential for any DevOps Engineer working with Google Cloud.
Cloud Security Engineer
Cloud Security Engineers are responsible for securing cloud-based systems and data. They work to identify and mitigate security risks, and to ensure that cloud-based systems are compliant with security regulations. The Google Cloud Compute and Scalability for AWS Professionals course can be useful for Cloud Security Engineers who want to learn more about Google Cloud's security features. The course covers topics such as virtual machines, load balancing, and managed instance groups, which are essential for any Cloud Security Engineer working with Google Cloud.
Site Reliability Engineer
Site Reliability Engineers are responsible for ensuring the reliability and uptime of cloud-based systems. They work to identify and resolve performance issues, and to ensure that cloud-based systems are scalable and resilient. The Google Cloud Compute and Scalability for AWS Professionals course can be useful for Site Reliability Engineers who want to learn more about Google Cloud's compute and storage offerings. The course covers topics such as virtual machines, load balancing, and managed instance groups, which are essential for any Site Reliability Engineer working with Google Cloud.
Data Engineer
Data Engineers are responsible for designing and building data pipelines. They work to ensure that data is collected, processed, and stored in a way that is efficient and reliable. The Google Cloud Compute and Scalability for AWS Professionals course can be useful for Data Engineers who want to learn more about Google Cloud's compute and storage offerings. The course covers topics such as virtual machines, load balancing, and managed instance groups, which are essential for any Data Engineer working with Google Cloud.
Software Engineer
Software Engineers are responsible for designing, developing, and testing software applications. They work to ensure that software is efficient, reliable, and secure. The Google Cloud Compute and Scalability for AWS Professionals course can be useful for Software Engineers who want to learn more about Google Cloud's compute and storage offerings. The course covers topics such as virtual machines, load balancing, and managed instance groups, which are essential for any Software Engineer working with Google Cloud.
Cloud Operations Engineer
Cloud Operations Engineers are responsible for managing and operating cloud-based systems. They work to ensure that cloud-based systems are available, reliable, and secure. The Google Cloud Compute and Scalability for AWS Professionals course can be useful for Cloud Operations Engineers who want to learn more about Google Cloud's compute and storage offerings. The course covers topics such as virtual machines, load balancing, and managed instance groups, which are essential for any Cloud Operations Engineer working with Google Cloud.
Business Analyst
Business Analysts are responsible for analyzing business needs and developing solutions to meet those needs. They work with stakeholders to identify problems and opportunities, and to develop and implement solutions. The Google Cloud Compute and Scalability for AWS Professionals course can be useful for Business Analysts who want to learn more about Google Cloud's compute and storage offerings. The course covers topics such as virtual machines, load balancing, and managed instance groups, which are essential for any Business Analyst working with Google Cloud.
Product Manager
Product Managers are responsible for managing the development and launch of new products. They work with engineers, designers, and marketers to ensure that products meet the needs of customers. The Google Cloud Compute and Scalability for AWS Professionals course can be useful for Product Managers who want to learn more about Google Cloud's compute and storage offerings. The course covers topics such as virtual machines, load balancing, and managed instance groups, which are essential for any Product Manager working with Google Cloud.
IT Manager
IT Managers are responsible for planning, implementing, and managing IT systems. They work with users to identify needs and to develop and implement solutions. The Google Cloud Compute and Scalability for AWS Professionals course can be useful for IT Managers who want to learn more about Google Cloud's compute and storage offerings. The course covers topics such as virtual machines, load balancing, and managed instance groups, which are essential for any IT Manager working with Google Cloud.
Technical Writer
Technical Writers are responsible for writing documentation for software and hardware products. They work with engineers and other technical staff to create documentation that is clear, concise, and accurate. The Google Cloud Compute and Scalability for AWS Professionals course can be useful for Technical Writers who want to learn more about Google Cloud's compute and storage offerings. The course covers topics such as virtual machines, load balancing, and managed instance groups, which are essential for any Technical Writer working with Google Cloud.
Project Manager
Project Managers are responsible for planning, executing, and closing projects. They work with stakeholders to define project goals, develop project plans, and track project progress. The Google Cloud Compute and Scalability for AWS Professionals course may be useful for Project Managers who want to learn more about Google Cloud's compute and storage offerings. The course covers topics such as virtual machines, load balancing, and managed instance groups, which may be helpful for Project Managers working with Google Cloud.
Sales Engineer
Sales Engineers are responsible for selling software and hardware products. They work with customers to identify needs and to develop and implement solutions. The Google Cloud Compute and Scalability for AWS Professionals course may be useful for Sales Engineers who want to learn more about Google Cloud's compute and storage offerings. The course covers topics such as virtual machines, load balancing, and managed instance groups, which may be helpful for Sales Engineers working with Google Cloud.
IT Consultant
IT Consultants are responsible for providing consulting services to clients on IT-related matters. They work with clients to identify needs and to develop and implement solutions. The Google Cloud Compute and Scalability for AWS Professionals course may be useful for IT Consultants who want to learn more about Google Cloud's compute and storage offerings. The course covers topics such as virtual machines, load balancing, and managed instance groups, which may be helpful for IT Consultants working with Google Cloud.
Systems Administrator
Systems Administrators are responsible for managing and maintaining computer systems. They work to ensure that computer systems are available, reliable, and secure. The Google Cloud Compute and Scalability for AWS Professionals course may be useful for Systems Administrators who want to learn more about Google Cloud's compute and storage offerings. The course covers topics such as virtual machines, load balancing, and managed instance groups, which may be helpful for Systems Administrators working with Google Cloud.

Reading list

We've selected 11 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 AWS Professionals.
Provides a comprehensive overview of Google Cloud Networking, including chapters on virtual machines and load balancing. It useful reference for architects and engineers who want to learn more about Google Cloud Networking.
Provides a comprehensive overview of Google Cloud for AWS professionals, including chapters on compute resources and load balancing. It useful reference for AWS professionals who want to learn more about Google Cloud.
This textbook provides a comprehensive overview of cloud computing, including compute resources and load balancing. It valuable resource for students and professionals who want to gain a deeper understanding of cloud computing.
This comprehensive book covers all aspects of cloud computing, including compute resources, load balancing, and more. It's a great resource for gaining a complete understanding of cloud computing concepts and a valuable reference for your future work in this field.
Covers the design principles and patterns for building data-intensive applications. It useful reference for advanced learners who want to gain a deeper understanding of how to design and implement scalable and reliable cloud computing systems.
Provides a comprehensive overview of cloud computing for beginners, including chapters on compute resources and load balancing. It useful reference for beginners who want to learn more about cloud computing.
This comprehensive book covers cloud computing fundamentals. It is not specific to Google Cloud or AWS, but it provides a solid background.
This classic textbook on computer networking great resource for understanding the fundamentals of networking. While it is not specific to cloud computing, it provides a strong foundation for understanding load balancing and other related concepts.
This practical guide to cloud computing covers a wide range of topics, including compute resources, load balancing, and more. It valuable resource for students and professionals who want to gain a deeper understanding of cloud computing.
Will be helpful if you have prior knowledge of AWS. It covers the fundamentals of AWS, including compute, networking, storage, and security. It also includes practice questions and great resource to prepare for the AWS Certified Solutions Architect - Associate (SAA-C02) exam.
Provides an in-depth look at high-performance computing architectures and systems. It will be useful for advanced learners who want to gain a deeper understanding of the underlying principles of compute resources and load balancing.

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