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Broadus Palmer

In this course, you will get a brief overview of the comparison of AWS EC2 and Google Compute Engine. Here is what we'll discuss in this course: * Overview of EC2 and Compute Engine * Storage types for both * Instance type vs. machine type * Deploying both EC2 and Compute Engine * Creating a managed instance group for Compute Engine * Creating an Auto Scaling group for AWS EC2

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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Compares and contrasts between industry-leading cloud providers' offerings
Taught by Broadus Palmer, who are recognized for their work in cloud computing education and consulting
Discusses storage types, instance type vs. machine type, and deployment strategies for both AWS EC2 and Google Compute Engine
Provides hands-on experience with creating a managed instance group for Compute Engine and an Auto Scaling group for AWS EC2

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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 Understanding the Differences between AWS EC2 and GCP GCE with these activities:
Deploy an EC2 instance
Start building familiarity and muscle memory by standing up a new instance in EC2.
Browse courses on AWS EC2
Show steps
  • Log into the AWS Console
  • Select the EC2 service
  • Click on the "Instances" tab and then click on the "Launch Instance" button
  • Select an AMI (Amazon Machine Image)
  • Configure instance settings (instance type, networking, storage)
Practice managing Compute Engine instances in the Google Cloud console
Sharpen skills in managing Compute Engine instances by manipulating them in the Google Cloud console.
Browse courses on Google Cloud Console
Show steps
  • Log in to the Google Cloud Console
  • Select the Compute Engine menu and click on the Instances tab
  • Practice starting, stopping, and deleting instances
  • Manage instance settings (e.g., networking, storage, tags)
Follow a tutorial to create a managed instance group in Compute Engine
Gain valuable hands-on experience by following a tutorial to create a managed instance group in Compute Engine.
Browse courses on Managed Instance Groups
Show steps
  • Find a tutorial on creating a managed instance group
  • Follow the steps in the tutorial
Five other activities
Expand to see all activities and additional details
Show all eight activities
Use a tutorial to create a WordPress blog on Compute Engine
Enhance understanding of Compute Engine and WordPress by using a tutorial to create your own blog.
Browse courses on Wordpress
Show steps
  • Find a tutorial on creating a WordPress blog on Compute Engine
  • Follow the steps in the tutorial
Follow a tutorial to set up a web server with Nginx on Compute Engine
Solidify knowledge of Compute Engine and Nginx by using a tutorial to set up a web server.
Browse courses on nginx
Show steps
  • Find a tutorial on setting up a web server with Nginx on Compute Engine
  • Follow the steps in the tutorial
Practice creating an Auto Scaling group in AWS EC2
Build proficiency in a fundamental tool by creating a new Auto Scaling group in EC2.
Show steps
  • Log into the AWS Console and select the EC2 service
  • Click on the "Auto Scaling" tab and then click on the "Create Auto Scaling Group" button
  • Configure your Auto Scaling group settings
Build a simple website with AWS EC2
Reinforce understanding of AWS EC2 by leveraging it to construct and deploy your own website.
Browse courses on EC2
Show steps
  • Set up a Linux EC2 instance
  • Install a web server (e.g., Apache or Nginx)
  • Configure the web server to serve your website
  • Create your website content
  • Deploy your website to the EC2 instance
Build a Node.js application and deploy it to AWS EC2
Reinforce EC2 understanding by deploying a Node.js application to an EC2 instance.
Browse courses on EC2
Show steps
  • Set up a Node.js application
  • Set up an EC2 instance and configure it
  • Deploy your Node.js application to the EC2 instance
  • Test that your application is running correctly

Career center

Learners who complete Understanding the Differences between AWS EC2 and GCP GCE will develop knowledge and skills that may be useful to these careers:
Cloud Architect
Cloud Architects design, build, and manage cloud computing systems. They use their knowledge of cloud computing technologies to create and maintain reliable, scalable, and secure cloud-based solutions. The course provides an overview of AWS EC2 and Google Compute Engine, two of the most popular cloud computing platforms. This knowledge can help Cloud Architects make informed decisions about which platform to use for their specific needs. Additionally, the course covers how to deploy and manage EC2 and Compute Engine instances, which is an essential skill for Cloud Architects.
Cloud Engineer
Cloud Engineers implement and manage cloud computing systems. They work with Cloud Architects to design and build cloud-based solutions, and they are responsible for ensuring that these solutions are reliable, scalable, and secure. The course provides an overview of AWS EC2 and Google Compute Engine, two of the most popular cloud computing platforms. This knowledge can help Cloud Engineers make informed decisions about which platform to use for their specific needs. Additionally, the course covers how to deploy and manage EC2 and Compute Engine instances, which is an essential skill for Cloud Engineers.
DevOps Engineer
DevOps Engineers work to bridge the gap between development and operations teams. They use their knowledge of cloud computing technologies to create and maintain automated pipelines that can quickly and reliably deploy and manage cloud-based applications. The course provides an overview of AWS EC2 and Google Compute Engine, two of the most popular cloud computing platforms. This knowledge can help DevOps Engineers make informed decisions about which platform to use for their specific needs. Additionally, the course covers how to deploy and manage EC2 and Compute Engine instances, which is an essential skill for DevOps Engineers.
Site Reliability Engineer
Site Reliability Engineers (SREs) are responsible for ensuring the reliability and performance of cloud-based systems. They work with Cloud Architects and Cloud Engineers to design and build reliable and scalable cloud-based solutions. The course provides an overview of AWS EC2 and Google Compute Engine, two of the most popular cloud computing platforms. This knowledge can help SREs make informed decisions about which platform to use for their specific needs. Additionally, the course covers how to deploy and manage EC2 and Compute Engine instances, which is an essential skill for SREs.
Cloud Security Engineer
Cloud Security Engineers are responsible for securing cloud-based systems. They work with Cloud Architects and Cloud Engineers to design and build secure cloud-based solutions, and they are responsible for identifying and mitigating security risks. The course provides an overview of AWS EC2 and Google Compute Engine, two of the most popular cloud computing platforms. This knowledge can help Cloud Security Engineers make informed decisions about which platform to use for their specific needs. Additionally, the course covers how to deploy and manage EC2 and Compute Engine instances, which is an essential skill for Cloud Security Engineers.
Data Scientist
Data Scientists use their knowledge of statistics and machine learning to extract insights from data. They work with Data Engineers to design and build systems for collecting, storing, and processing data. The course provides an overview of AWS EC2 and Google Compute Engine, two of the most popular cloud computing platforms. This knowledge can help Data Scientists make informed decisions about which platform to use for their specific needs. Additionally, the course covers how to deploy and manage EC2 and Compute Engine instances, which is an essential skill for Data Scientists.
Machine Learning Engineer
Machine Learning Engineers design and build machine learning models. They use their knowledge of statistics and machine learning to develop models that can make predictions and recommendations. The course provides an overview of AWS EC2 and Google Compute Engine, two of the most popular cloud computing platforms. This knowledge can help Machine Learning Engineers make informed decisions about which platform to use for their specific needs. Additionally, the course covers how to deploy and manage EC2 and Compute Engine instances, which is an essential skill for Machine Learning Engineers.
Data Engineer
Data Engineers design and build systems for collecting, storing, and processing data. They use their knowledge of cloud computing technologies to create and maintain scalable and reliable data pipelines. The course provides an overview of AWS EC2 and Google Compute Engine, two of the most popular cloud computing platforms. This knowledge can help Data Engineers make informed decisions about which platform to use for their specific needs. Additionally, the course covers how to deploy and manage EC2 and Compute Engine instances, which is an essential skill for Data Engineers.
Software Engineer
Software Engineers design, develop, and maintain software systems. They use their knowledge of programming languages and software development tools to create software that meets the needs of users. The course provides an overview of AWS EC2 and Google Compute Engine, two of the most popular cloud computing platforms. This knowledge can help Software Engineers make informed decisions about which platform to use for their specific needs. Additionally, the course covers how to deploy and manage EC2 and Compute Engine instances, which is an essential skill for Software Engineers.
Web Developer
Web Developers design and develop websites and web applications. They use their knowledge of HTML, CSS, and JavaScript to create websites that are both visually appealing and functional. The course provides an overview of AWS EC2 and Google Compute Engine, two of the most popular cloud computing platforms. This knowledge can help Web Developers make informed decisions about which platform to use for their specific needs. Additionally, the course covers how to deploy and manage EC2 and Compute Engine instances, which is an essential skill for Web Developers.
Network Engineer
Network Engineers design, implement, and maintain computer networks. They work with network administrators to ensure that networks are reliable and secure. The course provides an overview of AWS EC2 and Google Compute Engine, two of the most popular cloud computing platforms. This knowledge can help Network Engineers make informed decisions about which platform to use for their specific needs. Additionally, the course covers how to deploy and manage EC2 and Compute Engine instances, which is an essential skill for Network Engineers.
Systems Administrator
Systems Administrators are responsible for managing computer systems and networks. They work with system engineers to ensure that systems are running smoothly and securely. The course provides an overview of AWS EC2 and Google Compute Engine, two of the most popular cloud computing platforms. This knowledge can help Systems Administrators make informed decisions about which platform to use for their specific needs. Additionally, the course covers how to deploy and manage EC2 and Compute Engine instances, which is an essential skill for Systems Administrators.
IT Manager
IT Managers are responsible for planning, implementing, and managing IT systems. They work with senior management to develop IT strategies and ensure that IT systems meet the needs of the business. The course provides an overview of AWS EC2 and Google Compute Engine, two of the most popular cloud computing platforms. This knowledge can help IT Managers make informed decisions about which platform to use for their specific needs. Additionally, the course covers how to deploy and manage EC2 and Compute Engine instances, which is an essential skill for IT Managers.
Cloud Consultant
Cloud Consultants help organizations adopt and use cloud computing technologies. They work with businesses to identify their cloud computing needs and develop a strategy for implementing cloud-based solutions. The course provides an overview of AWS EC2 and Google Compute Engine, two of the most popular cloud computing platforms. This knowledge can help Cloud Consultants make informed recommendations to their clients. Additionally, the course covers how to deploy and manage EC2 and Compute Engine instances, which is an essential skill for Cloud Consultants.
Technical Support Engineer
Technical Support Engineers provide technical support to users of computer systems and networks. They help users troubleshoot problems and resolve issues. The course provides an overview of AWS EC2 and Google Compute Engine, two of the most popular cloud computing platforms. This knowledge can help Technical Support Engineers make informed recommendations to users. Additionally, the course covers how to deploy and manage EC2 and Compute Engine instances, which is an essential skill for Technical Support Engineers.

Reading list

We've selected ten 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 Understanding the Differences between AWS EC2 and GCP GCE.
This comprehensive textbook offers a broad understanding of cloud computing, including a section on cloud infrastructure services such as EC2 and GCE. It provides a foundational knowledge of the subject matter.
This pocket guide provides a concise overview of Google Cloud Platform and its services, including Compute Engine. It serves as a handy reference for understanding GCP's core concepts.
Provides an introduction to Google Cloud Platform (GCP), including Compute Engine, and useful resource for developers who are new to GCP. It covers topics such as creating and managing virtual machines, using storage and networking services, and deploying applications.
Provides an introduction to Amazon Web Services (AWS), including EC2, and useful resource for developers who are new to AWS. It covers topics such as creating and managing virtual machines, using storage and networking services, and deploying applications.
Focusing on serverless architectures within AWS, this book provides valuable insights for architects and developers. While it does not cover GCP, its concepts and best practices are applicable to both platforms.
Provides a comprehensive overview of cloud computing concepts, technologies, and architectures, and valuable resource for anyone looking to understand the fundamentals of cloud computing. It covers topics such as cloud service models, virtualization, storage, networking, and security.
Provides a comprehensive overview of cloud computing technologies, including virtualization, storage, networking, and security, and valuable resource for anyone looking to understand the technical aspects of cloud computing.
Provides a study guide for the GCP Certified Cloud Architect exam, and valuable resource for anyone preparing for this certification. It covers topics such as designing and deploying cloud architectures, managing and monitoring cloud resources, and implementing security measures.
Provides a practical approach to cloud computing, and valuable resource for anyone looking to learn how to use cloud platforms. It covers topics such as creating and managing virtual machines, using storage and networking services, and deploying applications.
Provides a comprehensive overview of AWS for beginners, and valuable resource for anyone new to the platform. It covers topics such as creating and managing virtual machines, using storage and networking services, and deploying applications.

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