You're reading from The Self-Taught Cloud Computing Engineer A comprehensive professional study guide to AWS, Azure, and GCP

Product type Paperback

Published in Sep 2023

Publisher Packt

ISBN-13 9781805123705

Length 472 pages

Edition 1st Edition

Tools

AWS

Concepts

Cloud Computing

Author (1):

Dr. Logan Song

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Table of Contents (24) Chapters

Preface

1. Part 1: Learning about the Amazon Cloud

2. Chapter 1: Amazon EC2 and Compute Services FREE CHAPTER

3. Chapter 2: Amazon Cloud Storage Services

4. Chapter 3: Amazon Networking Services

5. Chapter 4: Amazon Database Services

6. Chapter 5: Amazon Data Analytics Services

7. Chapter 6: Amazon Machine Learning Services

8. Chapter 7: Amazon Cloud Security Services

9. Part 2:Comprehending GCP Cloud Services

10. Chapter 8: Google Cloud Foundation Services

11. Chapter 9: Google Cloud’s Database and Big Data Services

12. Chapter 10: Google Cloud AI Services

13. Chapter 11: Google Cloud Security Services

14. Part 3:Mastering Azure Cloud Services

15. Chapter 12: Microsoft Azure Cloud Foundation Services

16. Chapter 13: Azure Cloud Database and Big Data Services

17. Chapter 14: Azure Cloud AI Services

18. Chapter 15: Azure Cloud Security Services

19. Part 4:Developing a Successful Cloud Career

20. Chapter 16: Achieving Cloud Certifications

21. Chapter 17: Building a Successful Cloud Computing Career

22. Index

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Google Cloud compute

We learned about EC2 instances in Chapter 1, which was about Amazon cloud compute services. Switching to Google Cloud, we will first discuss GCE VMs, which are like the EC2 instances in AWS, and then GKE, which was originally developed at Google and released as open source in 2014.

Google Compute Engine

GCE offers VMs running in Google’s cloud as a computing resource. Just like provisioning an AWS EC2 instance, we need to make choices about the computer hardware and software when provisioning a GCE VM in Google Cloud. Let us go to the Google Cloud console, provision a GCE instance, and add some cloud storage to it:

Log in to the Google Cloud console.
Go to the Google Cloud console: https://console.cloud.google.com. As we mentioned in an earlier section, each GCP resource belongs to a project, so you need to create a project first: