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.
Course info
Rating
(25)
Level
Beginner
Updated
Sep 11, 2018
Duration
1h 58m
Table of contents
Description
Course info
Rating
(25)
Level
Beginner
Updated
Sep 11, 2018
Duration
1h 58m
Description

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.

About the author
About the author

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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Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
Hi. My name is Janani Ravi. And welcome to this course on Choosing and Implementing Google Cloud Computer Engine Solutions. A little about myself. I have a master's in electrical engineering from Stanford, and I have worked at companies such as Microsoft, Google, and Flipkart. At Google, I was one of the first engineers working on real-time collaborative editing in Google Docs. And I hold four patents for its underlying technologies. I currently work on my own startup, Loonycorn, a studio for high-quality video content. In this course, you will learn how to create, run, and manage virtual machines on the Google Cloud Platform. We start off by understanding the range of offerings from the Google Cloud Platform ranging from pure IaaS offerings such as Google Compute Engine to pure PaaS offerings like the Google App Engine. We'll create a GCP account and understand how VMs on the cloud are priced. We'll then study how we can create and work with these VM offerings in the cloud. We'll connect to Linux, as well as Windows machines, reserve static IP addresses, attach local SSDs to VMs, communicate between VMs on the network, and connect to cloud storage buckets from VMs. We'll then move on to administrating these instances on the cloud. We'll see have availability policies to handle VM migrations can be configured, how disk images and snapshots can be created, and how we can instantiate VMs using these images and snapshots. We'll also see how startup and shutdown scripts to customize VMs can be run. At the end of this course, you should be comfortable creating, connecting to, and working with virtual machine instances on the Google Cloud Platform.