You're reading from Mastering Docker, Fourth Edition Enhance your containerization and DevOps skills to deliver production-ready applications

Product type Paperback

Published in Oct 2020

Publisher Packt

ISBN-13 9781839216572

Length 568 pages

Edition 4th Edition

Tools

Docker

Concepts

Containerization

Author (1):

Russ McKendrick

View More author details

Table of Contents (22) Chapters

Preface

1. Section 1: Getting Up and Running with Docker

2. Chapter 1: Docker Overview FREE CHAPTER

3. Chapter 2: Building Container Images

4. Chapter 3: Storing and Distributing Images

5. Chapter 4: Managing Containers

6. Chapter 5: Docker Compose

7. Chapter 6: Docker Machine, Vagrant, and Multipass

8. Section 2: Clusters and Clouds

9. Chapter 7: Moving from Linux to Windows Containers

10. Chapter 8: Clustering with Docker Swarm

11. Chapter 9: Portainer – A GUI for Docker

12. Chapter 10: Running Docker in Public Clouds

13. Chapter 11: Docker and Kubernetes

14. Chapter 12: Discovering other Kubernetes options

15. Chapter 13: Running Kubernetes in Public Clouds

16. Section 3: Best Practices

17. Chapter 14: Docker Security

18. Chapter 15: Docker Workflows

19. Chapter 16: Next Steps with Docker

20. Assessments

21. Other Books You May Enjoy

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Google Cloud

Of the three major public clouds, Google Cloud is the newest. It started life as Google App Engine in 2008. App Engine was Google's PaaS offering, which supported Java, PHP, Node.js, Python, C#, .Net, Ruby, and Go applications. Unlike AWS and Microsoft Azure, Google remained a PaaS service for over 4 years until it introduced Google Compute Engine.

We are going to be learning a lot more about Google's journey into the cloud in the next chapter when we start to talk about Kubernetes, so I am not going to go into much more detail here. So, let's jump right in.

Google Cloud Run

Google Cloud Run works slightly differently than the other container services we have looked at in this chapter. The first thing we need is to have an image hosted in Google Container Registry to use the service:

Let's grab a copy of our cluster image from Docker Hub:
```
$ docker image pull russmckendrick/cluster
```
Now, we need to use the Google Cloud command-line...