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Choosing and Implementing Google Cloud Compute Engine Solutions

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.

Janani Ravi - Pluralsight course - Choosing and Implementing Google Cloud Compute Engine Solutions
by Janani Ravi

What you'll learn

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.

Table of contents

About the author

Janani Ravi - Pluralsight course - Choosing and Implementing Google Cloud Compute Engine Solutions
Janani Ravi

A problem solver at heart, Janani has a Masters degree from Stanford and worked for 7+ years at Google. She was one of the original engineers on Google Docs and holds 4 patents for its real-time collaborative editing framework.

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