Cloud Models – N10-008 CompTIA Network+ : 1.8

The cloud has changed the way we think about application deployment and use. In this video, you’ll learn about infrastructure as a service, software, as a service, platform as a service, and how organizations are using public and private clouds for their computing infrastructure.


Let’s say that you have an application that you would like to run on the internet, but you don’t have any equipment that you could use to load up an operating system and the code that you need to run. In that case, you would need to use someone else’s hardware. And the cloud model for this is Infrastructure as a Service, or IaaS. This is sometimes referred to as Hardware as a Service, or HaaS, because you are, effectively, outsourcing your equipment.

Although you are contracting with a third party to provide this hardware, you’re still responsible for loading the application and all of the data. Sometimes hardware as a service might include the operating system and sometimes it won’t. So it’s up to you to make sure you have all of the software you need to be able to run your application.

Since this means that your data will also be in this cloud-based system, you’re also responsible for the security of that data, so it’s up to you to manage not only the operating system itself, but all of the data that you’re putting in that operating system. If you’ve ever visited the Professor Messer website, then you’ve taken advantage of infrastructure as a service because I’ve contracted with a third party to provide the web services, and then I provide the content on my website.

Another popular cloud model is Software as a Service, or SaaS, sometimes called “sass.” With software as a service, you don’t have to create the software. You don’t have to manage the infrastructure. You don’t have to create or manage any hardware. This means if you need to send emails from an email distribution system, you don’t have to manage any of that system. You only have to provide the content for the emails.

Or if you’re in charge of the payroll for your company, instead of you managing your own payroll system, you can use a third party payroll system to manage the entire process. This means that the applications, the data, and everything that you’re using will be located in the cloud. And because it’s software as a service, someone else is responsible for managing and securing all of that data.

This means that you, as the end user, doesn’t have to perform any development work. Someone else is writing the application. They are managing the systems. And all you have to do is log into your web browser and use the application. This means that if you use Office 365 or Google Mail, you’re taking advantage of software as a service.

You can think of Platform as a Service, or PaaS, as a middle-ground between software as a service and infrastructure as a service. This is a cloud-based system that someone else is managing and in fact, they’re providing you with all of the building blocks you need to build your own applications. You don’t have to worry about running the servers or having a data center. But instead, you can log into this platform and build out exactly the type of application that you’d like.

It’s very common for a platform as a service provider to give you all of the building blocks you need, so that you don’t have to provide development from scratch. For example, if you need a login screen, you would use the login block in your platform as a service front end. Then you might want an inventory page, so you would grab the inventory block and add it to your application.

This means that you can quickly create these applications, but you don’t have to perform a lot of programming from scratch. The platform as a service provider provides all of the building blocks, and you simply take advantage of that platform. If you’ve used, for example, SalesForce.com to put together your own custom-built application, then you’ve used platform as a service.

If you were to create your own data center with your own equipment running your own applications that you’ve installed yourself, then everything would be on premises. Everything from the network, to the servers, to the operating systems and applications are all on systems that are inside of your facility. With infrastructure as a service, we would have the networking, storage server, and virtualization managed by a provider, and then we would handle everything else.

If this was software as a service, all of these components would be provider-managed. And if it was platform as a service, you might have the provider give you everything up to the runtime section, but you would still be responsible for the application and the data.

There are different types of models that you can use to roll out these cloud-based applications. One is a public model where everyone, anywhere on the internet, would be able to gain access and use your cloud-based system. You could also have a cloud-based infrastructure that was community based.

There may be multiple organizations that have a similar goal, and all of those organizations can work together to pool their resources and be able to afford this cloud-based system. Or perhaps, you want to take advantage of these cloud-based technologies, but you want to do it inside of your own data center. In that case, it would be a private cloud. And a mix of public and private, which is extremely common in most organizations, would be considered a hybrid model.

If you’re managing a lot of different workstations and desktops in your environment, you might consider using cloud-based technologies to take what you’re doing internally and push it out to a single provider. In that case, you would be using Desktop as a Service, or DaaS. If you were running all of this within your own infrastructure, you may already be familiar with a Virtual Desktop Infrastructure, or VDI, and now running this in the cloud brings it into a model for DaaS.

Locally, you would have a device that had a keyboard, a mouse, and a screen. But you would then connect to a desktop using that local device to be able to run the entire desktop in the cloud. This means that the system you’re using locally doesn’t need a lot of hardware resources. You can use a minimal amount of memory and storage space to be able to connect to this desktop as a service.

One significant requirement, however, is that you have the bandwidth available to be able to connect and view this desktop that’s in the cloud. Everything you’re seeing on this desktop in a cloud is viewed in a remote controlled access, so although the bandwidth requirements aren’t enormous, you would still need enough of a network infrastructure to provide this connectivity.

Here’s a bigger view of this desktop as a service. This is Amazon’s Workspaces. I simply went into Amazon. I asked it to create a Windows desktop for me, and then I connected to that device through my browser, and this was the screen I got. Now that I have the system up and running, I can add software. I can run applications. And I can do this from any system in the world because all I need to do is connect to Amazon WorkSpaces.