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Janani Ravi

As cloud computing grows in popularity, the first use-case is the provisioning and managing of cloud compute virtual machines. This course will show you the advantages of cloud VM instances on the Google Cloud Platform over on-premise machines.

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As cloud computing grows in popularity, the first use-case is the provisioning and managing of cloud compute virtual machines. This course will show you the advantages of cloud VM instances on the Google Cloud Platform over on-premise machines.

Provisioning and managing Google Cloud Compute Engine instances, i.e. VMs, is simple and straightforward. In this course, Choosing and Implementing Google Cloud Compute Engine Solutions, you will learn how to create, run, and manage virtual machines on the Google Cloud Platform (GCP). You will start off by understanding the breadth of offerings from the Google Cloud Platform - ranging from pure IaaS offerings such as the Google Compute Engine to pure PaaS offerings like the Google App Engine. Next, you'll see how you can create and work with these VM offerings on the cloud. You'll create and connect to Linux as well as Windows machines, reserve static IP addresses, attach local SSDs to VMs, communicate between VMs on a network and connect to Cloud Storage buckets. You'll then move on to administrating these instances on the cloud. You'll see how availability policies, to handle VM migrations, can be configured, how disk images and snapshots can be created, and how you can instantiate VMs using these images and snapshots. Finally, you'll be shown how to startup and shutdown scripts to customize VMs can be run. At the end of this course, you will be comfortable creating, connecting to, and working with virtual machine instances on the Google Cloud Platform.

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What's inside

Syllabus

Course Overview
Understanding GCP Compute Options
Working with GCE VM Instances
Managing GCE VM Instances
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops skills and knowledge that are core for system administrators who work with Google Cloud
Core audience includes students who want an overview of working with Google Cloud virtual machine instances
Introduces students to Google Cloud Platform's offerings, from IaaS to PaaS

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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 Choosing and Implementing Google Cloud Compute Engine Solutions with these activities:
Review basic Linux commands
Refresh your Linux skills to ensure you have a strong foundation before starting this course.
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  • Use a Linux tutorial or online resource to review basic commands.
  • Practice using these commands in a Linux terminal.
Review Cloud Computing: Concepts, Technology & Architecture by Thomas Erl
Review this introductory textbook to build a foundational understanding of cloud computing concepts and technologies, preparing you for success in this course.
Show steps
  • Read the first three chapters to gain an overview of cloud computing.
  • Focus on understanding the benefits and challenges of cloud computing.
  • Make notes on key terms and concepts as you read.
Follow along with the Google Cloud Quickstart tutorials
Get hands-on experience with Google Cloud by completing their interactive tutorials, providing a strong foundation for this course.
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Show steps
  • Select the Compute Engine Quickstart tutorial.
  • Follow the instructions to create a virtual machine instance.
  • Connect to the instance using SSH.
Five other activities
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Create a cheat sheet of GCP commands
Solidify your understanding of GCP commands by creating a cheat sheet for quick reference during the course.
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  • Identify the most frequently used GCP commands.
  • Use a text editor or spreadsheet to organize the commands.
  • Include a brief description and syntax for each command.
Solve practice problems on cloud computing concepts
Reinforce your understanding of cloud computing concepts by solving a set of practice problems covering various topics addressed in this course.
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Show steps
  • Find practice problems online or in textbooks.
  • Attempt to solve the problems on your own.
  • Review the solutions and identify areas for improvement.
Attend a local meetup or conference on cloud computing
Expand your network and engage with professionals in the field to gain insights and stay up-to-date on cloud computing trends.
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Show steps
  • Search for local meetups or conferences related to cloud computing.
  • Register for the event and attend.
  • Network with other attendees and speakers.
Write a blog post summarizing key concepts from the course
Deepen your understanding by writing a blog post that summarizes the key concepts covered in the course, reinforcing your knowledge and helping others learn.
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Show steps
  • Identify the main topics and concepts covered in the course.
  • Write a clear and concise summary of each topic.
  • Include examples and illustrations to enhance understanding.
Contribute to an open-source cloud computing project
Enhance your practical skills and make a tangible contribution to the cloud computing community by volunteering on an open-source project.
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Show steps
  • Identify an open-source project related to cloud computing.
  • Contact the project maintainers and express your interest in contributing.
  • Start working on a task or issue, following the project's guidelines.

Career center

Learners who complete Choosing and Implementing Google Cloud Compute Engine Solutions will develop knowledge and skills that may be useful to these careers:
Site Reliability Engineer
As a Site Reliability Engineer, you would be responsible for ensuring the reliability and performance of cloud computing systems. This course would help you develop the skills necessary to manage Google Cloud Compute Engine (GCE) instances. You would learn how to create, configure, and secure GCE instances. You would also learn how to monitor and troubleshoot GCE instances. This knowledge would be essential for ensuring the reliability and performance of cloud computing systems.
Cloud Architect
As a Cloud Architect, you would design and build cloud computing solutions that meet the needs of your organization. This course would help you build a foundation in Google Cloud Compute Engine, which is a core component of many cloud computing solutions. You would learn how to create, manage, and secure virtual machines (VMs) on Google Cloud. This knowledge would be essential for designing and implementing cloud computing solutions that are scalable, reliable, and cost-effective.
DevOps Engineer
As a DevOps Engineer, you would be responsible for bridging the gap between development and operations teams. This course would help you develop the skills necessary to manage Google Cloud Compute Engine (GCE) instances. You would learn how to create, configure, and secure GCE instances. You would also learn how to automate the deployment and management of GCE instances. This knowledge would be essential for managing and maintaining cloud computing infrastructure that is both reliable and efficient.
Cloud Engineer
As a Cloud Engineer, you would be responsible for managing and maintaining cloud computing infrastructure. This course would help you develop the skills necessary to manage Google Cloud Compute Engine (GCE) instances. You would learn how to create, configure, and secure GCE instances. You would also learn how to monitor and troubleshoot GCE instances. This knowledge would be essential for managing and maintaining cloud computing infrastructure that is reliable and efficient.
Cloud Security Engineer
As a Cloud Security Engineer, you would be responsible for securing cloud computing systems. This course would help you develop the skills necessary to secure Google Cloud Compute Engine (GCE) instances. You would learn how to configure and manage security features for GCE instances. You would also learn how to monitor and respond to security threats. This knowledge would be essential for securing cloud computing systems from unauthorized access and malicious attacks.
Cloud Storage Engineer
As a Cloud Storage Engineer, you would be responsible for designing and managing cloud storage solutions. This course would help you develop the skills necessary to manage Google Cloud Compute Engine (GCE) instances. You would learn how to create, configure, and secure GCE instances. You would also learn how to configure and manage storage features for GCE instances. This knowledge would be essential for designing and managing cloud storage solutions that are scalable, reliable, and cost-effective.
Cloud Network Engineer
As a Cloud Network Engineer, you would be responsible for designing and managing cloud networking solutions. This course would help you develop the skills necessary to manage Google Cloud Compute Engine (GCE) instances. You would learn how to create, configure, and secure GCE instances. You would also learn how to configure and manage networking features for GCE instances. This knowledge would be essential for designing and managing cloud networking solutions that are scalable, reliable, and cost-effective.
Cloud Database Engineer
As a Cloud Database Engineer, you would be responsible for designing and managing cloud database solutions. This course would help you develop the skills necessary to manage Google Cloud Compute Engine (GCE) instances. You would learn how to create, configure, and secure GCE instances. You would also learn how to configure and manage database features for GCE instances. This knowledge would be essential for designing and managing cloud database solutions that are scalable, reliable, and cost-effective.
Data Engineer
As a Data Engineer, you would be responsible for designing and building data processing pipelines. This course would help you build a foundation in Google Cloud Compute Engine (GCE), which is a core component of many data processing pipelines. You would learn how to create, manage, and secure GCE instances. You would also learn how to deploy and manage data processing applications on GCE instances. This knowledge would be essential for designing and building data processing pipelines that are scalable, reliable, and cost-effective.
Cloud Solutions Architect
As a Cloud Solutions Architect, you would be responsible for designing and implementing cloud computing solutions for customers. This course would help you develop the skills necessary to manage Google Cloud Compute Engine (GCE) instances. You would learn how to create, configure, and secure GCE instances. You would also learn how to design and implement cloud computing solutions that are scalable, reliable, and cost-effective.
Cloud Security Analyst
As a Cloud Security Analyst, you would be responsible for identifying and mitigating security risks in cloud computing systems. This course would help you develop the skills necessary to secure Google Cloud Compute Engine (GCE) instances. You would learn how to configure and manage security features for GCE instances. You would also learn how to monitor and respond to security threats.
Systems Administrator
As a Systems Administrator, you would be responsible for managing and maintaining computer systems. This course may be useful for gaining a better understanding of how Google Cloud Compute Engine (GCE) instances can be used to manage computer systems. You would learn how to create, configure, and secure GCE instances. You would also learn how to monitor and troubleshoot GCE instances.
Database Administrator
As a Database Administrator, you would be responsible for managing and maintaining databases. This course may be useful for gaining a better understanding of how Google Cloud Compute Engine (GCE) instances can be used to manage databases. You would learn how to create, configure, and secure GCE instances. You would also learn how to configure and manage database features for GCE instances.
Network Administrator
As a Network Administrator, you would be responsible for managing and maintaining computer networks. This course may be useful for gaining a better understanding of how Google Cloud Compute Engine (GCE) instances can be used to manage computer networks. You would learn how to create, configure, and secure GCE instances. You would also learn how to configure and manage networking features for GCE instances.
Software Engineer
As a Software Engineer, you would be responsible for designing, developing, and maintaining software applications. This course may be useful for gaining a better understanding of how Google Cloud Compute Engine (GCE) instances can be used to deploy and manage software applications. You would learn how to create, configure, and secure GCE instances. You would also learn how to deploy and manage software applications on GCE instances.

Reading list

We've selected six 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 Choosing and Implementing Google Cloud Compute Engine Solutions.
This comprehensive book provides a solid foundation in cloud computing concepts, including cloud service models, virtualization, and resource management. It discusses Google Compute Engine as one of the leading cloud computing platforms.
Offers insights into the principles and practices of site reliability engineering, a discipline that emphasizes the reliability and performance of cloud-based systems. It includes case studies and best practices relevant to Google Compute Engine and other cloud platforms.
Explores Kubernetes, which is used in conjunction with Google Compute Engine for container orchestration. It provides a deep dive into Kubernetes concepts and best practices for managing containerized workloads.
Provides a foundational understanding of big data and machine learning on Google Cloud, using Google Compute Engine as a platform for deploying and managing big data and AI workloads.
Focuses on security and reliability aspects of cloud computing, discussing Google Compute Engine as an example of a cloud platform. It provides insights into best practices for securing and managing cloud-based applications.
Focuses on data management in distributed systems, providing insights into the design of data-intensive applications on cloud platforms. It covers topics like data modeling, storage technologies, and data processing.

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