Concepts Part 2

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From the course by Google Cloud

Google Cloud Platform Fundamentals for AWS Professionals

159 оценки

Google Cloud

Google Cloud Platform Fundamentals for AWS Professionals

159 оценки

This accelerated 6-hour course with labs introduces AWS professionals to the core capabilities of Google Cloud Platform (GCP) in the four technology pillars: networking, compute, storage, and database. It is designed for AWS Solution Architects and SysOps Administrators familiar with AWS features and setup and want to gain experience configuring GCP products immediately. With presentations, demos, and hands-on labs, participants get details of similarities, differences, and initial how-tos quickly. If you prefer to learn fast by doing, this course is for you. Learning Objectives This course teaches participants the following skills: ● Identify GCP counterparts for Amazon VPC, subnets, routes, NACLs, IGW, Amazon EC2, Amazon EBS, auto-scaling, Elastic Load Balancing, Amazon S3, Amazon Glacier, Amazon RDS, Amazon Redshift, AWS IAM, and more ● Configure accounts, billing, projects, networks, subnets, firewalls, VMs, disks, auto scaling, load balancing, storage, databases, IAM, and more ● Manage and monitor applications ● Explain feature and pricing model differences ● Locate documentation and training. Prerequisites To get the most of out of this course, participants should have basic proficiency with networking technologies like subnets and routing. Students are also expected to have experience with Amazon VPC, Amazon EC2 instances, and disks. Familiarity with Amazon S3 and AWS database technologies is recommended.

From the lesson

Module 4: Working with VM Instances

Concepts Part 14:44

Concepts Part 23:45

Demo Part 14:23

Demo Part 23:13

Meet the Instructors

Google Cloud Training

For terminal access to your machines,

EC2 requires you to create and include your SSH key.

In compute engine you can create the key if you want or you can use

a project-wide key that's created automatically for all instances.

There are two easy ways to SSH to your machines from within

the cloud console: you can SSH directly to your machine

from within the console interface or you can open

a command shell from within the console called Cloud Shell and SSH from there.

When you do this, you don't need to store the key locally, it's passed for you.

You can also RDP to Microsoft machines from within cloud console.

For more details on using cloud shell, see the link.

Every instance stores its meta data on a meta data server.

You can query the server programmatically from

within the instance or startup and shutdown scripts.

This way you can get unique information about the instance,

such as hostname or ID,

and use it to set up, say, a database.

There are both default and custom entries.

To query values, you send a URL request with root URL,

meta data key name and a special header.

Here's an example of how to get the hostname.

For more information on metadata server, see the link.

You can create and configure cloud platform resources by console,

gcloud (a command-line tool), API,

or deployment manager, which allows you to specify resources declaratively in templates.

Gcloud is automatically installed in Cloud Shell so you can access it from there.

In the demo we'll use both console and Gcloud.

For more details on these tools,

see the following link.

In addition to standard pricing,

GCE and EC2 offer discounts for temporary or sustained-use instances.

Temporary instances become available when resources are

not fully utilized and can be reclaimed at any time.

Compute engine calls them preemptable VMs.

EC2 calls them spot instances.

They're functionally similar but have significantly different cost models.

Spot instances are primarily auctioned and bid upon at fluctuating market rates.

You have to watch for deals,

bid, and wait to see if you get the instances.

Preemptable VMs, on the other hand,

have fixed discounts up to 80 percent based on

machine type and run for a maximum of 24 hours.

The benefit of this model is simplicity and predictability.

It's worth noting that EC2 has also started a service like this.

Sustained-use discounts are offered for using machines continuously.

EC2 calls them reserved instances and require you to commit to use for a period upfront.

GCE does not apply your discount automatically as you go.

Overall, key GCE differences include: faster instance spin-ups,

which are especially helpful when spinning up many VMs;

instance billing per minute instead of per hour;

custom machine types with specific amounts of CPU and RAM;

automatic sustained use discounts without advanced reservations.

Here is a list of key GCP terms and AWS equivalents.

Now, let's spin up an instance and deploy an application on it.

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