In this section, the main areas are progressively more technical and requires hands-on experience to really understand how to deploy services such as GKE, DataStore, Pub/Sub, etc. Networking, Storage and Compute are covered in detail with a focus on Compute Engine, GKE, BigQuery, Cloud Storage, and Deployment Manager.

Below I have summarized the objectives as efficiently as I could to provide you an efficient study resource.

Launching a compute instance using Cloud Console and Cloud SDK

To deploy a VM in the Cloud Console or the SDK will use the same commands.

Below shows the Cloud SDK. The installation of the Cloud SDK was covered in this book already so I will go straight to the VM deployment.

Figure 1 shows the SDK kit which is locally installed on your desktop or server.

To launch a compute engine instance, we first must be specifying the VM Configuration.

Below we need to use the gcloud compute command. The gcloud compute command group lets you create, configure, and manipulate Compute Engine virtual machine (VM) instances.

Below will deploy a VM “cloudbookvm1”

Figure 2 below shows a VM being deployed as “cloudbookvm1”

Figure 2 gcloud compute create

Figure 3 below shows the VM “cloudbookvm1” as running.

Figure 3 Completion of VM deployment

Creating an auto-scaled managed instance group using an instance template

A managed instance group uses an instance template to create or update the instances that are part of the group.

Create an instance template once and you can reuse it for multiple groups and configuration.

You can still specify some zonal resources in an instance template, which restricts the template to the zone.

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