You're reading from Professional Cloud Architect Google Cloud Certification Guide Build a solid foundation in Google Cloud Platform to achieve the most lucrative IT certification

Product type Paperback

Published in Dec 2021

Publisher Packt

ISBN-13 9781801812290

Length 664 pages

Edition 2nd Edition

Tools

Google Cloud Platform

Concepts

Cloud Computing

Authors (2):

Konrad Cłapa

Brian Gerrard

View More author details

Table of Contents (25) Chapters

Preface

1. Section 1: Introduction to GCP

2. Chapter 1: GCP Cloud Architect Professional FREE CHAPTER

3. Chapter 2: Getting Started with Google Cloud Platform

4. Chapter 3: Google Cloud Platform Core Services

5. Section 2: Manage, Design, and Plan a Cloud Solution Architecture

6. Chapter 4: Working with Google Compute Engine

7. Chapter 5: Exploring Google App Engine as a Compute Option

8. Chapter 6: Managing Kubernetes Clusters with Google Kubernetes Engine

9. Chapter 7: Deploying Cloud-Native Workloads with Cloud Run

10. Chapter 8: Managing Cloud-Native Workloads with Anthos

11. Chapter 9: Running Serverless Functions with Google Cloud Functions

12. Chapter 10: Networking Options in GCP

13. Chapter 11: Exploring Storage and Database Options in GCP – Part 1

14. Chapter 12: Exploring Storage and Database Options in GCP – Part 2

15. Chapter 13: Analyzing Big Data Options

16. Chapter 14: Putting Machine Learning to Work

17. Section 3: Secure, Manage and Monitor a Google Cloud Solution

18. Chapter 15: Security and Compliance

19. Chapter 16: Google Cloud Management Options

20. Chapter 17: Monitoring Your Infrastructure

21. Section 4: Exam Focus

22. Chapter 18: Case Studies

23. Chapter 19: Test Your Knowledge

24. Other Books You May Enjoy

Containers on Compute Engine

As an alternative to running GKE, GCP offers the ability to run containers on Compute Engine. Containers will be covered more in Chapter 6, Managing Kubernetes Clusters with Google Kubernetes Engine; however, it's important to note that containers can be run on both Linux and Windows server VM instances or container-optimized operating systems offered inside of Compute Engine. Docker and Podman are two common container technologies that let us run containerized applications.

We should note that a Container-Optimized OS does have some limitations:

It does not include a package manager, so we cannot install software packages directly on an instance.
It does not support execution of non-containerized applications.
The kernel is locked down.
It is not supported outside of the GCP environment.